Cooking Chicken Best Recipes for Cheap & Healthy Cooking

August 8, 2019, 8:42 am

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Cooking Chicken: Best Recipes for Cheap & Healthy Cooking
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | Lec: 20 | 1.30 GB
Genre: eLearning | Language: English

Classic chicken recipes demonstrated with cooking techniques to make the best chicken.
Chicken - it's cheap and it's chic!
This course is for you if you want to learn tasty, classic chicken recipes for your every day rotation, or if you'd like to entertain at home more. Recipes range from pan-seared and poaching to Insta-worthy presentations of whole roasted birds or something super French, like Chicken Cordon Bleu.
We'll also cover best practices for handling raw chicken - how long it can keep in the refrigerator or freezer and how to minimize contamination.
Because there are SO many chicken recipes out there, this course focuses on (1) basic techniques that give good chicken regardless of the ingredients and (2) the most well-known dishes out there, with some expansion for cultural exploration. Over time, I hope to expand more on global chicken recipes but the criteria for this expansion will always be that the ingredients have to be easily accessible.
I've researched multiple cookbooks and blogs to find recipes that aren't too fussy and only use easily accessible ingredients. You should be able to find most everything in your local grocery store. If there's a special ingredient, I'll include other recipes you can use it in as an outside resource link.
Recipes come from a variety of sources and this video course is just a demonstration of how each recipe can look. If you've never made it before, how do you know you're doing it right? Occasionally, I make a mistake - and I show you anyway to prove that your cooking will not be perfect and it's still wonderful!
Recipes will include gluten, dairy, and soy. Also note that raw poultry is not telegenic (meaning, it does not look pretty on camera).




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Self Publishing 101 with Mark Dawson

August 8, 2019, 8:42 am

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Mark Dawson - Self Publishing 101 | 8.56 GB

General:
- Ready to publish your novel, turn readers into raving fans and earn a living from your stories?
- Self-Publishing 101 is a detailed, comprehensive masterclass written and presented by a bestselling author for other authors.





- It's a simple system that is easy to follow and proven to get results
- SELF-PUBLISHING 101 is a detailed, comprehensive masterclass written and presented by a bestselling author for other authors. It distils years of trial and error into a system that is easy to follow and proven to get results.


- Self Publishing 101 is the course I needed when I started publishing. It will teach you everything you need to know to build a sustainable career as a writer, using cutting edge digital marketing techniques to find readers, get reviews, and make sales.
- If you've ever dreamed of being a full-time author, you're in the right place self Publishing 101 will teach you how to:
- Format your books and get great covers so that they are indistinguishable from your traditionally published rivals.
- Upload your books to all the major platforms.
- Understand metadata so that your books show up in searches.
- Find your perfect readers and add them to your mailing list.
- Build an automation sequence that introduces new readers to your writing, and encourages them to move on to your paid books.
- Craft straightforward and simple to learn Facebook Ad campaigns that work, require minimal maintenance, and won't leave you broke.
- Turn your readers into fans, and then into superfans (and members of your crack Street Team)
- HERE'S JUST SOME OF WHAT YOU WILL LEARN:
- how to upload your books to the various sales platforms;
- how to package your book: cover design, blurb writing, metadata;
- how to create your website and mailing list and then flood them with eager readers.
- Self-Publishing 101 will also provide you with an easy-to-set-up automated system that runs in the background, getting your books into the hands of readers and pushing you up the sales charts.
- It will allow you to sit back and watch as new readers find out about your work.
- It will build your sales rank and add to your bottom line.
- And most of all, it will give you the time to focus on your writing, secure in the knowledge that your career is being developed: when your next book is ready to publish, the market will be ready and waiting.
- The full course will show you EVERYTHING you need to know to build the foundation for your successful career as an independently published author.
- I will show you the precise strategy that I have deployed to sell hundreds of thousands of books and to add thousands of readers to my mailing list. You don't need a degree in computer science to pull this off.
- MODULE #1 -BUILD YOUR PLATFORM
- MODULE #2- PRE-PUBLICATION
- MODULE #3- AMAZON? OR EVERYWHERE?
- MODULE #4 -AMAZON EXCLUSIVE
- MODULE #5- GOING WIDE
- MODULE #6 -GENERATING TRAFFIC
- MODULE #7 -READY TO LAUNCH?
- MODULE #8- GETTING REVIEWS
- TECH LIBRARY -WANT A TRUSTED GUIDE?



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Fb Marketing Advanced University Power Editor with Jon Loomer

August 8, 2019, 8:44 am

≫ Next: Coursera Clinical Problem Solving (University of California San Francisco)

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Jon Loomer - Fb Marketing Advanced University Power Editor | 1.72 GB

General:
- I have put together this comprehensive course on Facebook Power Editor. It is quite simply the most powerful, yet underutilized, tool available to marketers. The problem is that most do not understand how to use it.






- Here's what you can expect:

- Five sections of lessons, from beginner to advanced
- Completely self-serve - Learn at your pace!
- More than 40 written lessons
- More than four hours of video
- With this course, I will lead you to Power Editor mastery. These are the tools that lead to profits for your business.

- If you want to master Facebook ads, this is the way to do it. I've helped countless marketers reach their ideal audience and grow their business online with the help of Facebook. You can, too! Join hundreds of others and BECOME A MEMBER TODAY!

- Following are the five sections (even if you haven't purchased, you can get a sneak preview by clicking):

- An Introduction to Power Editor
- Creating a Campaign and Ad
- Intermediate Strategies
- Advanced Strategies
- BONUS: Facebook Ad Reports and Power Editor
- Why Power Editor is GREAT


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Coursera Clinical Problem Solving (University of California San Francisco)

August 8, 2019, 8:45 am

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Coursera - Clinical Problem Solving (University of California San Francisco)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~213 kbps | 29.970 fps
AAC | 112 Kbps | 44.1 KHz | 2 channels | ~7 hours | 1.12 GB
Genre: eLearning Video / Medicine

Although all students are welcome to watch lectures, attempt assignments, and participate in discussions, it is strongly recommended that students have an academic or professional background in medical terminology and physical diagnosis.

The weekly assignments will ask students to apply the concepts and principles taught in this course to various diseases, syndromes, and diagnoses; however, detailed information about medical terminology and disease states will not be taught in the course. Please read the "Recommended Readings" section below for information on outside resources that will be useful for completing assignments for all students. All students, regardless of their background, are encouraged to use a medical textbook to help accurately complete course assignments.
Understand how doctors and other medical professionals use patient's complaints to accurately determine diagnoses
Accurately process patient symptoms to prioritize possible diagnoses
Successfully use Illness Scripts as a method for organizing patient symptoms
Recognize patterns and apply these pattern-recognition skills to refine decision making and prioritize among different diagnostic possibilities
Correctly interpret diagnostic tests and use diagnostic tests to refine your prioritized diagnosis
Understand biases and errors that may lead to poor decision making and practice a strategy for uncovering biased decisions
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Coursera Coding the Matrix Linear Algebra through Computer Science Applications

August 8, 2019, 8:46 am

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Coursera - Coding the Matrix: Linear Algebra through Computer Science Applications
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~210 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~20 hours | 2.77 GB
Genre: eLearning Video / Science, Mathematics, Linear Algebra
When you take a digital photo with your phone or transform the image in Photoshop, when you play a video game or watch a movie with digital effects, when you do a web search or make a phone call, you are using technologies that build upon linear algebra.

When you take a digital photo with your phone or transform the image in Photoshop, when you play a video game or watch a movie with digital effects, when you do a web search or make a phone call, you are using technologies that build upon linear algebra.
Linear algebra provides concepts that are crucial to many areas of computer science, including graphics, image processing, cryptography, machine learning, computer vision, optimization, graph algorithms, quantum computation, computational biology, information retrieval and web search. Linear algebra in turn is built on two basic elements, the matrix and the vector.
In this class, you will learn the concepts and methods of linear algebra, and how to use them to think about problems arising in computer science. You will write small programs in the programming language Python to implement basic matrix and vector functionality and algorithms, and use these to process real-world data to achieve such tasks as: two-dimensional graphics transformations, face morphing, face detection, image transformations such as blurring and edge detection, image perspective removal, classification of tumors as malignant or benign, integer factorization, error-correcting codes, and secret-sharing.
Syllabus
The Function
The Field
The Vector
The Vector Space
The Matrix
The Basis
Dimension
Gaussian Elimination
The Inner Product
Orthogonalization
Taught by Phil Klein












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How To Market Yourself As A Software Developer with John Sonmez

August 8, 2019, 8:46 am

≫ Next: Coursera Galaxies and Cosmology (California Institute of Technology)

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John Sonmez - How To Market Yourself As A Software Developer | 1.74 GB

General:
- Here's How It All Works...
- Module #1 - Why Marketing Yourself Is Important (And How to Get Started)
- Module #2 - Building A Brand
- Module #3 - Creating A Blog
- Module #4 - The Complete Guide to Getting Your Name Out There
- Module #5 - The Ultimate Developer's Guide to Social Networks
- Module #6 - Resume Advice that will Make or Break You






- With These 6 Modules You'll Create A Rock-Solid Foundation For Your Career...

- Bonus:
- Bonus #1 - 11 Successful Software Developers Spill Their Career Secrets
- Bonus #2 - Career Tools Quick Reference GuideBonus #3 - 29-Step Software Developer Marketing Checklist
- Bonus #4 - Full Word-for-Word Video Transcripts for "Building A Brand" and "Creating A Blog" Courses
- Bonus #5 - Networking Do's and Don'ts Poster


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Coursera Galaxies and Cosmology (California Institute of Technology)

August 8, 2019, 8:47 am

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Coursera - Galaxies and Cosmology (California Institute of Technology)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~90.5 kbps | 30 fps
AAC | 124 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~15 hours | 1.71 GB

Genre: eLearning Video / Science, Astronomy and Cosmology
This class is an introduction to the modern extragalactic astronomy and cosmology, i.e., the part of astrophysics that deals with the structure and evolution of the universe as a whole, and its major constituents: dark matter, dark energy, galaxies, quasars, large-scale structure, and intergalactic gas.

This class is an introduction to the modern extragalactic astronomy and cosmology, i.e., the part of astrophysics that deals with the structure and evolution of the universe as a whole, and its major constituents: dark matter, dark energy, galaxies, quasars, large-scale structure, and intergalactic gas.
It will cover the subjects including: relativistic cosmological models and their parameters, extragalactic distance scale, cosmological tests, composition of the universe, dark matter, and dark energy; the hot big bang, cosmic nucleosynthesis, recombination, and cosmic microwave background; formation and evolution of structure in the universe; galaxy clusters, large-scale structure and its evolution; galaxies, their properties and fundamental correlations; formation and evolution of galaxies; star formation history of the universe; quasars and other active galactic nuclei, and their evolution; structure and evolution of the intergalactic medium; diffuse extragalactic backgrounds; the first stars, galaxies, and the reionization era. It corresponds to the Ay 21 class taught at Caltech.
Syllabus
Galaxies and Cosmology
The lecture schedule and topics covered by this class are given below. There is no midterm or final for this class, but there are graded quizzes at the end of each week based on lecture material.
Week 1
Chapter 1: Introduction
Cosmology as a science
An overview of the modern cosmology and its history
Units, fluxes, and magnitudes
Chapter 2: Basics of Relativistic Cosmology
Basic concepts of General Relativity
Symmetry assumptions: homogeneity and isotropy
Metric, Robertson-Walker
The cosmological redshift
Comoving and proper coordinates
Friedmann equation
Definitions of cosmological parameters
Week 2
Chapter 3: Cosmological Models
Computing cosmological models
Distances in cosmology
Basics of cosmological tests
The cosmic horizons
Chapter 4: Distance Scale, Age of the Universe, and the Universal Expansion
Distance scale and the Hubble constant
The age of the universe
Tests of the universal expansion
Week 3
Chapter 5: Cosmological Tests
Classical cosmological tests and their problems
Modern tests (non-CMBR)
Tests using CMBR fluctuations
Chapter 6: The hot Big Bang and the Thermal History of the Universe
Planck era and beyond
Inflation
Baryosynthesis
Nucleosynthesis
Recombination
Reionization
Week 4
Chapter 7: Contents of the Universe
Luminous matter, M/L ratios
Baryons
Dark matters
Gravitational lensing
Dark energy, cosmological constant and quintessence
Chapter 8: Structure Formation: Theory
Density fluctuations, power spectrum, growth, damping
Dark matter dependence of cosmogony; Cold Dark Matter
Post-recombination growth
Collapse of density fluctuations
The role of cooling; galaxies vs. clusters and LSS
Numerical simulations
Galaxy merging
Week 5
Chapter 9: Observations of Large Scale Structure
Measurements of galaxy clustering and LSS
Redshift surveys
Chapter 10: Large Scale Structure and Clusters of Galaxies
Peculiar motions
Evolution of clustering
Biasing
Galaxy clusters and their properties
Week 6
Chapter 11: Galaxies, Their Structure and Properties (I)
Galaxy catalogs, morphological classification, Hubble sequence
Variation of galaxy properties along the Hubble Sequence
Stellar populations and galaxian subsystems
Galaxy luminosity and mass functions
Properties of spiral galaxies, density wave theory
Chapter 12: Galaxies, Their Structure and Properties (II)
Properties of elliptical galaxies
Supermassive black holes in nearby galaxies
Properties of dwarf galaxy families
Fundamental correlations, scaling relations, and their uses
Week 7
Chapter 13: Galaxy Evolution
Basic processes of galaxy evolution: merging, stellar pop. modeling
Deep surveys (imaging and redshift)
Selection effects and obscured star formation
Star formation history, assembly of the mass
The Olbers paradox
Optical/NIR and FIR/sub-mm diffuse backgrounds
Chapter 14: Chemical Evolution, Intergalactic Medium and its Evolution
Chemical evolution of galaxies
Basic phenomenology of absorbers
LyA forest, Lyman limit systems, Damped LyA systems
Evolution of IGM and its chemical enrichment
Feedback processes and the cosmic web
Week 8
Chapter 15: Galaxy Formation
Basics of galaxy formation
The first galaxies and early stages of galaxy evolution
Reionization era
The first stars
The origins of black holes in the early universe
Chapter 16: Quasars and Active Galactic Nuclei: Phenomenology and Physics
AGN properties, basics, classification, spectra
Supermassive black holes and their fueling
Emission mechanisms
AGN unification
Week 9
Chapter 17: Quasars and AGN: Unification, Evolution, High-Energy Backgrounds
Jets and beaming
Quasar surveys and evolution
X-ray, gamma-ray, and AGN-generated backgrounds
The origin of first quasars and supermassive black holes









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Your First $1k Deluxe with Mariah Coz

August 8, 2019, 8:48 am

≫ Next: Coursera Introduction to Mathematical Thinking (Stanford University)

≪ Previous: Coursera Galaxies and Cosmology (California Institute of Technology)

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Mariah Coz - Your First $1k Deluxe | 3.54 GB

General:
- Get your first 1,000 Email Subscribers and Make Your First $1,000 From Your Blog In 60 Days Or Less! Fed up and frustrated with vague "strategies" and lame outdated "tips and tricks" about growing your audience and your blog?







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- Module 6: Viral List Building and Pre-Launch
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Coursera Introduction to Mathematical Thinking (Stanford University)

August 8, 2019, 8:49 am

≫ Next: Coursera Learn to Program: Crafting Quality Code (University of Toronto)

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Coursera - Introduction to Mathematical Thinking (Stanford University)
WEBRip | English | MP4 | 960 x 540 | AVC ~230 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~9 hours | 1.77 GB
Genre: eLearning Video / Science, Mathematics
Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.
Mathematical thinking is not the same as doing mathematics - at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box - a valuable ability in today's world. This course helps to develop that crucial way of thinking.






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Coursera Learn to Program: Crafting Quality Code (University of Toronto)

August 8, 2019, 8:50 am

≫ Next: Video Ads Crash Course 3.0 with Justin Sardi

≪ Previous: Coursera Introduction to Mathematical Thinking (Stanford University)

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Coursera - Learn to Program: Crafting Quality Code (University of Toronto)
WEBRip | English | MP4 | 960 x 540 | VP8 ~94.5 kbps | 15 fps
VORBIS | 128 Kbps | 44.1 KHz | 2 channels | ~10 hours | 344 MB
Genre: eLearning Video / Computer Science, Software Testing, Unit Testing

Established in 1827, the University of Toronto is one of the world's leading universities,

its impact on economic prosperity and social well-being around the globe.

Established in 1827, the University of Toronto is one of the world's leading universities,
renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as
its impact on economic prosperity and social well-being around the globe.
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Video Ads Crash Course 3.0 with Justin Sardi

August 8, 2019, 8:51 am

≫ Next: Coursera Probabilistic Graphical Models (Stanford University)

≪ Previous: Coursera Learn to Program: Crafting Quality Code (University of Toronto)

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Justin Sardi - Video Ads Crash Course 3.0 | 2.02 GB

General:
- Video Ads Crash Course is the original, and still the best over-the-shoulder YouTube Video Ad training system.
- Demonstrating constantly improving results, massive ROI's, and consistently cheaper clicks than any other YouTube course, available anywhere.






- Now, with version 3.0 getting a steady flow of cheap, profitable traffic has never been easier.

- Get your first video ad campaign up, running, and producing visible results in less than a day, with no fear of losing money, no wasted time, and never biting off more than you can chew.



- Here's A Taste Of What You'll Discover Inside The Most
- Complete Video Ads Crash Course Yet:
- Why most YouTube marketers are 100% wrong in the way they use YouTube ads. (including, the one kind of ad that will BREAK your campaign if you use it!)
- How to avoid the embarrassing "Rookie Mistakes" that even experienced marketers make when setting up a YouTube Channel for long term .
- How to avoid being a "paid traffic sucker" by using the one kind of ad that WON'T BREAK your campaign, or put your marketing budget at risk.
- Why some people get their accounts banned. (getting banned sounds scary, but the only frightening thing is how easy it is to make sure it doesn't happen to you-find out how in Module #9.)
- Access the highly prized, closely guarded templates, formulas and strategies shared only by a closed community of YouTube Ad success stories.
- How to "Stack Your Deck" for massive success in just 30 minutes.(with only 1 ad and no video.)
- The "unwritten" YouTube rules you may already be breaking.


- And that's not all:
- The "Really, it's THAT easy?!" guide to understanding all your essential analytics at a glance. (. Includes everything you'll ever need to know about re-targeting, conversion tracking, CTA metrics, and more.)
- Why "30" is the magic number, and the super-sneaky way to make sure your ads AWALYS get your message across.
- The little-known targeting secrets that cut through doubt and confusion like a hot knife through butter. (A.K.A - how to win on YouTube almost instantly!)
- The biggest "hidden in plain sight" secret about YouTube marketing (Hint:It's built in, it's FREE, and it's SO EASY to understand an 8-year old could use it).
- The advanced click-through and conversion secrets used by the best marketers, day in, day out, to generate fast-profits and easy leads on demand.
- PLUS - "Facebook Buster!" One little-known way that YouTube ads are 10x better than Facebook Ads.
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Coursera Probabilistic Graphical Models (Stanford University)

August 8, 2019, 8:51 am

≫ Next: Coursera Statistics Making Sense of Data (University of Toronto)

≪ Previous: Video Ads Crash Course 3.0 with Justin Sardi

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Coursera - Probabilistic Graphical Models (Stanford University)
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC 39.6 kbps | 15 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 23:25:47 | 1.36 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

What are Probabilistic Graphical Models? Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will happen in the future, and even in the present and the past, many important aspects of the world are not observed with certainty. Probability theory gives us the basic foundation to model our beliefs about the different possible states of the world, and to update these beliefs as new evidence is obtained. These beliefs can be combined with individual preferences to help guide our actions, and even in selecting which observations to make. While probability theory has existed since the 17th century, our ability to use it effectively on large problems involving many inter-related variables is fairly recent, and is due largely to the development of a framework known as Probabilistic Graphical Models (PGMs).This framework, which spans methods such as Bayesian networks and Markov random fields, uses ideas from discrete data structures in computer science to efficiently encode and manipulate probability distributions over high-dimensional spaces, often involving hundreds or even many thousands of variables. These methods have been used in an enormous range of application domains, which include: web search, medical and fault diagnosis, image understanding, reconstruction of biological networks, speech recognition, natural language processing, decoding of messages sent over a noisy communication channel, robot navigation, and many more. The PGM framework provides an essential tool for anyone who wants to learn how to reason coherently from limited and noisy observations.
About The Course
In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques; you will also learn algorithms for using a PGM to reach conclusions about the world from limited and noisy evidence, and for making good decisions under uncertainty. The class covers both the theoretical underpinnings of the PGM framework and practical skills needed to apply these techniques to new problems.
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Coursera Statistics Making Sense of Data (University of Toronto)

August 8, 2019, 8:53 am

≫ Next: 10 Ways To Make Money With Your Blog with John Sonmez

≪ Previous: Coursera Probabilistic Graphical Models (Stanford University)

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Coursera - Statistics: Making Sense of Data (University of Toronto)
WEBRip | English | MP4 | 960 x 540 | AVC ~80.8 kbps | 15 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~10 hours | 801 MB
Genre: eLearning Video / Science, Mathematics, Statistics & Probability
We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically literate.

We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically literate.
This course will provide an intuitive introduction to applied statistical reasoning, introducing fundamental statistical skills and acquainting students with the full process of inquiry and evaluation used in investigations in a wide range of fields. In particular, the course will cover methods of data collection, constructing effective graphical and numerical displays to understand the data, how to estimate and describe the error in estimates of some important quantities, and the key ideas in how statistical tests can be used to separate significant differences from those that are only a reflection of the natural variability in data.
Syllabus
A first look at data
Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables.
Collecting data
Week 2: Sampling. Observational studies and experiments. The effect of confounding and concluding causation.
Probability
Week 3: Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions.
Confidence Intervals
Week 4: Confidence intervals and sample size estimation for proportions and means.
Tests of significance
Week 5: Tests of significance, power and sample size estimation for proportions and means
Two samples
Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case.
Simple linear regression
Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations.
The process of statistical inquiry
Week 8: Capstone case study.
Taught by Alison Gibbs and Jeffrey Rosenthal












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10 Ways To Make Money With Your Blog with John Sonmez

August 8, 2019, 8:53 am

≫ Next: Coursera Text Mining and Analytics (The University of Illinois at Urbana Champaign)

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John Sonmez - 10 Ways To Make Money With Your Blog | 2.49 GB

General:
Raise your hand if you've ever heard another software developer say:" Having a blog is fine-but you can't make any money doing that."
Well, in just a minute I'm going to show you how you can earn at least $100 from your blog in the next 90 days, guaranteed 100%. More on that soon.






First though I want to take on this idea that you can't make any money with a blog. This claim that you can't make more than "pizza money" from a blog gets thrown around a lot-it comes up just about every time I talk about how critical blogging is for your software development career



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Coursera Text Mining and Analytics (The University of Illinois at Urbana Champaign)

August 8, 2019, 8:54 am

≫ Next: Time Blocking Mastery with Jay Papasan

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Coursera - Text Mining and Analytics (The University of Illinois at Urbana-Champaign)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~50 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 12:07:13 | 1014 MB

Genre: eLearning Video / Data Clustering Algorithms, Probabilistic Models, Sentiment Analysis
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications.











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Time Blocking Mastery with Jay Papasan

August 8, 2019, 8:55 am

≫ Next: Coursera Data Structures

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Time Blocking Mastery with Jay Papasan
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~1200 kbps | 24 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 04:14:27 | 2.07 GB
Genre: eLearning Video / Business, Mindset, Achievement

How Smart And Successful High Achievers Get More Done In 66 Days Than Most Do In A Lifetime Create a Step-By-Step Process For You To Achieve Any Goal Without Grinding Out 10 Hour Long Work Days





Hi!
My name is Jay Papasan and Im the co-author of the number one Wall Street Journal bestseller, The ONE Thing.

On this page, we (Keller Williams and I) will show you how you can discover the one thing that will make the greatest, most beneficial shift in your life, how to create reliable habits for achieving anything you desire, and how you can get us support and coach you throughout this journey.

Sound good? Great! Because what were announcing today is 8 years in the making and has never been shared anywhere else!

The Following Information Has Been Locked Behind Closed Doors and Revealed Only To Trusted Staff And Private Clients (Until Now)

What people dont know about the book, The ONE Thing, is before Gary Keller and I published it in 2008, we invested almost 5 years researching the proven principles that drive big achievement in life and business. We accumulated hundreds of hours outlining the very principles Gary and his team used to build the 1 real estate company in the world.

You might be wondering:
Why did writing a book take 5 years of research?

The reason why it took us five years to prepare The ONE Thing is because we wanted to make sure it wouldnt be just another success book about how I did it. We wanted to truly help people with our book by providing an approach that anyone could follow.
We took our time because we wanted a book that created a huge and positive impact on the world. A book that changed how people focus their time and energy to get things done, just like Gary Keller did to create a multimillion dollar company.

What ended up happening once we published The ONE Thing was sales went above and beyond what we imagined. To date, The ONE Thing has sold more than seven-hundred thousand copies, made more than two hundred and fifty appearances on national bestsellers lists, and has been translated into over 25 languages around the world!

Why The ONE Thing Sold More Than 700,000 Copies, Reached 245 Bestsellers List, And Translated Into 25 Different Languages

The reason why The ONE Thing was and continues to be so successful is because the book discloses the simple approach used by achievers not just in business but virtually every pursuit.

We studied the lives of artists, athletes, musicians, technologistyou name it. And we documented what they had in common. Because while we may not be able to duplicate any individuals approach to success, we can absolutely follow a path laid down by hundreds of extraordinarily successful people.

Let that sink in for just a moment.
We essentially outlined exactly how to achieve success, step-by-step

Its no wonder why The ONE Thing has been vital to positively changing so many lives. It doesnt matter whether or not youre a business owner, an employee, or a freelancer the simple principles in The ONE Thing show you how to make your big goals possible, in a fraction of the time it would normally take you.

Your one thing could be about business, health, or even your personal life.

Thats how powerful this simple approach is once you use it.

After Publishing The ONE Thing, We Asked Our Readers What Else We Could Do To Improve Their Lives
This is what our audience told us to do.

Since there were hundreds of thousands of people who were using The ONE Thing to achieve extraordinary results, we knew we were just getting started.

But, there was a problem.

With so many people reading and using our book to better their lives, we were receiving thousands of requests for additional help. Helping people wasnt the problem, the problem was: figuring out what we should help our audience with first.

To help us figure this out, we sent out a survey that asked: what is the one thing you wished you had more help with after reading the book?

It didnt take long before we were flooded with thousands of replies.

The data made it clear what would happen next.

After reading what you told us and analyzing the data, we determined the next thing we could do to help you most would be to show you how to master time using one of the core concepts in our book.

If youve read The ONE Thing, you know about this concept. Its called Time Blocking.

What is Time Blocking?
If you havent read our book, time blocking is a system for making appointments with yourself every day, so you can focus your energy on the most important work that helps you achieve extraordinary results without sabotaging your willpower.

Weve seen people use time blocking to reach their long term goals in a short amount of time.
Time blocking is directly responsible for helping our readers make more money, get into better shape, and improve their relationships.
We Created A Systematic Way For You To Begin AND Complete Any Goal, Even If You Only Have 15 Minutes Available Per Day




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Coursera Data Structures

August 8, 2019, 8:55 am

≫ Next: Coursera Economics of Money and Banking Part One (Columbia University)

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Coursera Data Structures | 1.25 GB
This course is part of the Data Structures and Algorithms Specialization

Course 1 of 1 in the
Data Structures and Algorithms Specialization
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Basic knowledge of at least one programming language: C++, Java, Python, C, C#, javascript, Haskell, Kotlin, Ruby, Rust, Scala.
English
Subtitles: English

Offered By
UNIVERSITY OF CALIFORNIA SAN DIEGO
NATIONAL RESEARCH UNIVERSITY HIGHER SCHOOL OF ECONOMICS

About this Course
150k+ recent views

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!

[url=https://www.coursera.org/learn/data-structures.]https://www.coursera.org/learn/data-structures.
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Coursera Economics of Money and Banking Part One (Columbia University)

August 8, 2019, 8:56 am

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Coursera: Economics of Money and Banking - Part One (Columbia University)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~222 kbps | 25 fps
AAC | 125 Kbps | 48.0 KHz | 2 channels | Subs: English | ~11 hours | 2.18 GB
Genre: eLearning Video / Business, Economics and finances
Introduction to a "money view" of economic activity for modern times, building on the intellectual traditions of British central banking and American institutionalism. Part One explores the economics of payment systems and money markets. Part Two explores connections with foreign exchange and capital markets.

Introduction to a "money view" of economic activity for modern times, building on the intellectual traditions of British central banking and American institutionalism. Part One explores the economics of payment systems and money markets. Part Two explores connections with foreign exchange and capital markets.
The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.
Three features of the new system are central.
Most important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse.
Second, the global character of the crisis has revealed the global character of the system, which is something new in postwar history but not at all new from a longer time perspective. Central bank cooperation was key to stemming the collapse, and the details of that cooperation hint at the outlines of an emerging new international monetary order.
Third, absolutely central to the crisis was the operation of key derivative contracts, most importantly credit default swaps and foreign exchange swaps. Modern money cannot be understood separately from modern finance, nor can modern monetary theory be constructed separately from modern financial theory. That's the reason this course places dealers, in both capital markets and money markets, at the very center of the picture, as profit-seeking suppliers of market liquidity to the new system of market-based credit.
Content:

Introduction
1: The Four Prices of Money
2: The Natural Hierarchy of Money
3: Money and the State: Domestic
4: The Money View, Macro and Micro
Banking as a Clearing System
5: The Central Bank as a Clearinghouse
6: Federal Funds, Final Settlement
7: Repos, Postponing Settlement
8: Eurodollars, Parallel Settlement
Banking as Market Making
9: The World that Bagehot Knew
10: Dealers and Liquid Security Markets
11: Banks and the Market for Liquidity
12: Lender/Dealer of Last Resort













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Dylan Patrick - The Cinematic Headshot

August 8, 2019, 8:57 am

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Dylan Patrick - The Cinematic Headshot | 8.51 GB

Fstoppers has teamed up with the incredibly successful headshot photographer, Dylan Patrick to produce the 6 hour tutorial, The Cinematic Headshot. Dylan has become widely sought after in New York and Los Angeles for his unmistakably stylized portraits and actors headshots. In this tutorial Dylan will teach you his entire processes of coaching, lighting, and then retouching his pictures.






No Studio, No Problem
Within 1 year Dylan went from being a struggling actor/bar tender to a full time portrait photographer without ever using a studio. Managing natural light outside can be difficult but Dylan's lighting style brings the benefits of studio lighting out on location.

Learn About The Gear
Dylan has simplified his bag of gear into just 1 camera, 1 lens, 2 speedlights, 1 reflector, and 2 modifiers. Photographers on any budget will be able to easily afford the equipment necessary to shoot similar images.

Learn How To Light
Dylan's photography isn't about expensive gear, it's about the knowledge of how to use what you have. In this tutorial you will learn how to light in ideal lighting situations, extremely harsh lighting situations, and even at night. Dylan's techniques will help you produce repeatable results in any location at any time of day.

Learn How To Edit
50% of Dylan's signature look can be attributed to his coaching and lighting, the other 50% comes from his post production. This tutorial includes 4 different RAW files that you can use to follow along with Dylan as he works. After following along in Photoshop for over 3 hours with Dylan, you'll know everything necessary to edit your portraits at a world class level.



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August 8, 2019, 8:57 am

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