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17 Incubators & Accelerators to Help Launch Your Big Idea

17 Incubators & Accelerators to Help Launch Your Big Idea | Best | Scoop.it
Does your company need a boost? Incubators and accelerators can be a great option for any young company or even idea to get off the ground. These programs offer everything from funding, connections with top investors and mentors and collaborative...

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104 Photo Editing Tools You Should Know About

104 Photo Editing Tools You Should Know About | Best | Scoop.it

Here is a large organized list of 104 photo editing tools and apps that you should know about. These services might be useful for some photographers. And just to make it easier to find something specific, the list is numbered. Enjoy!

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What is Data Science? 24 Fundamental Articles Answering This Question

What is Data Science? 24 Fundamental Articles Answering This Question | Best | Scoop.it

Many people new to data science might believe that this field is just about R, Python, Hadoop, SQL, and traditional machine learning techniques or statistical modeling. Below you will find fundamental articles that show how modern, broad and deep the field is. Some data scientists are actually doing none of the above.

 

The article on deep data science (see below) shows that data science is also about automating the tasks that many people (calling themselves data scientists) do routinely. And it can be done using very little mathematical / traditional statistical science.

 

Many of these articles should help the beginner to have a better idea about what data science is. Some are technical, but most can be understood by the layman.

 

24 Articles About Core Data Science

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40 Techniques Used by Data Scientists

40 Techniques Used by Data Scientists | Best | Scoop.it

These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links provided, you will find a selection of articles related to the entry in question. Most of these articles are hard to find with a Google search, so in some ways this gives you access to the hidden literature on data science, machine learning, and statistical science. Many of these articles are fundamental to understanding the technique in question, and come with further references and source code.

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25 Chatbot Startups You Should Know

25 Chatbot Startups You Should Know | Best | Scoop.it

Chatbots are programs that mimic conversation with people using artificial intelligence. With recent advances in AI these have become much more accurate, especially when focused on a specific domain. Combine these advances with the consumer trend towards messaging —  people are now spending more time in messaging apps than in social media — and it seems we might be about to enter the age of the chatbot.

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10 Amazing Linux Terminal Based Games That You Must Know

Most people associate ‘Linux’ with images of people sitting in front of a system gawking at a screen full of code, devoid of any sort of entertainment.

 

But, as I have always maintained throughout our Linux Lexicon series, one should never underestimate the power of the Linux Terminal because it almost always contains things, oblivious to our knowledge, that would easily blow away anyone’s mind.

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Microsoft Has a Whole New Kind of Computer Chip—and It Might Just Change Everything

Microsoft Has a Whole New Kind of Computer Chip—and It Might Just Change Everything | Best | Scoop.it
High-end, custom-built "field programmable gate arrays" will run Bing, Office 365, and Azure.

 

In December 2012, Doug Burger was standing in front of Steve Ballmer, trying to predict the future. Ballmer, the big, bald, boisterous CEO of Microsoft, sat in the lecture room on the ground floor of Building 99, home base for the company’s blue-sky R&D lab just outside Seattle. The tables curved around the outside of the room in a U-shape, and Ballmer was surrounded by his top lieutenants, his laptop open. Burger, a computer chip researcher who had joined the company four years earlier, was pitching a new idea to the execs. He called it Project Catapult.

 

The tech world, Burger explained, was moving into a new orbit. In the future, a few giant Internet companies would operate a few giant Internet services so complex and so different from what came before that these companies would have to build a whole new architecture to run them. They would create not just the software driving these services, but the hardware, including servers and networking gear. Project Catapult would equip all of Microsoft’s servers—millions of them—with specialized chips that the company could reprogram for particular tasks.

 

But before Burger could even get to the part about the chips, Ballmer looked up from his laptop. When he visited Microsoft Research, Ballmer said, he expected updates on R&D, not a strategy briefing. “He just started grilling me,” Burger says. Microsoft had spent 40 years building PC software like Windows, Word, and Excel. It was only just finding its feet on the Internet. And it certainly didn’t have the tools and the engineers needed to program computer chips—a task that’s difficult, time consuming, expensive, and kind of weird. Microsoft programming computer chips was like Coca Cola making shark fin soup.

 

Burger—trim, only slightly bald, and calmly analytical, like so many good engineers—pushed back. He told Ballmer that companies like Google and Amazon were already moving in this direction. He said the world’s hardware makers wouldn’t provide what Microsoft needed to run its online services. He said that Microsoft would fall behind if it didn’t build its own hardware. Ballmer wasn’t buying it. But after awhile, another voice joined the discussion. This was Qi Lu, who runs Bing, Microsoft’s search engine. Lu’s team had been talking to Burger about reprogrammable computer chips for almost two years. Project Catapult was more than possible, Lu said: His team had already started.

 

Today, the programmable chips that Burger and Lu believed would transform the world—called field programmable gate arrays—are here. FPGAs already underpin Bing, and in the coming weeks, they will drive new search algorithms based on deep neural networks—artificial intelligence modeled on the structure of the human brain—executing this AI several orders of magnitude faster than ordinary chips could. As in, 23 milliseconds instead of four seconds of nothing on your screen. FPGAs also drive Azure, the company’s cloud computing service. And in the coming years, almost every new Microsoft server will include an FPGA. That’s millions of machines across the globe. “This gives us massive capacity and enormous flexibility, and the economics work,” Burger says. “This is now Microsoft’s standard, worldwide architecture.”


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50 Blogging tools to help you work smarter, write faster and become irresistible to your readers

50 Blogging tools to help you work smarter, write faster and become irresistible to your readers | Best | Scoop.it

The best way to pump more “wow” into your post is to use the right blogging tools.

 

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47 New External Data Science / Machine Learning Resources and Articles

47 New External Data Science / Machine Learning Resources and Articles | Best | Scoop.it
Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging algorithms.

 

  1. Authoring Books with R Markdown 
  2. Feature Selection: The 10-dimensional burrito 
  3. From scatter plot to slope chart 
  4. Using Big Data for Machine Learning Analytics in Manufacturing 
  5. A Complete Tutorial on Linear Regression with R 
  6. Statistical Computing with Stata 
  7. Build an AI Writer - Machine Learning for Hackers - Video
  8. Demystifying linear regression and feature selection 
  9. Monitoring A/B experiments in real-time 
  10. JupyterLab: the next generation of the Jupyter Notebook 
  11. Cheat Sheets for Web Developers 
  12. How to Start Learning Deep Learning 
  13. How to evaluate Data Science models ? 
  14. Variable selection vs Model selection 
  15. Anomaly detection with normal distribution 

 

Other Data Science Resources


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The Best Astronomy Images of 2016 Are Truly Out of This World

The Best Astronomy Images of 2016 Are Truly Out of This World | Best | Scoop.it
The winners of the annual Insight Astronomy Photographer of the Year have been announced. From eerie eclipses through to battered lunar landscapes, these images are an absolute treat.
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How do you prove and quantify causality?

How do you prove and quantify causality? | Best | Scoop.it

What does “causality” mean, and how can you represent it mathematically? How can you encode causal assumptions, and what bearing do they have on data analysis? These types of questions are at the core of the practice of data science, but deep knowledge about them is surprisingly uncommon.

 

If you analyze data without regard to causality, you open your results up for the possibility of enormous biases. This includes everything from recommendation system results, to post-hoc reports on observational data, to experiments run without proper holdout groups.

 

Recent posts have been aimed at a more general audience. This one will be aimed at practitioners, and will assume a basic working knowledge of math and data analysis. To get the most from this post you should have a reasonable understanding of linear regression and probability (although we’ll review a lot of probability). Prior knowledge of graphical models will make some concepts more familiar, but is not required.

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32 Chrome extensions for designers and developers

32 Chrome extensions for designers and developers | Best | Scoop.it
Firefox has long been renowned for its customisability and plethora of extensions, but Google Chrome has gained a lot of popularity in the past few years among web design pros and developers. One of the reasons for this is its speed and built-in developer tools. And now, with a burgeoning collection of Chrome extensions that's growing by the day, it's becoming the first port of call for many web developers and designers.
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Javier M - AxiomaWL's curator insight, August 31, 2016 3:38 PM
Amazing Collection of very useful tools for Web Developers. must see  !
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104 Photo Editing Tools You Should Know About

104 Photo Editing Tools You Should Know About | Best | Scoop.it

Hello, photo editors and photographers. The project Photolemur has been looking at different tools in the area of photo enhancement and photo editing. As result, a large organized list of 104 photo editing tools and apps that you should know about was assembled. 


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Lee Hall's curator insight, February 28, 12:28 PM
Photo editing tools arranged by categories. 
Nevermore Sithole's curator insight, March 20, 6:32 AM
104 Photo Editing Tools
Willem Kuypers's curator insight, Today, 5:19 AM
Une liste impressionnante pour l'édition de photos.
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Best Jupyter Notebooks

Best Jupyter Notebooks | Best | Scoop.it

A Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

Click here to edit the content

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Scientists discover what shapes language diversity

Scientists discover what shapes language diversity | Best | Scoop.it
A team of international researchers, led by Colorado State University's Michael Gavin, have taken a first step in answering fundamental questions about human diversity.

 

Humans collectively speak nearly 7,000 languages. But these languages are not spread evenly across the globe. Why do humans speak so many languages, and why are there so many languages in some places and so few in others?

 

In a new study published in Global Ecology and Biogeography, the team was the first to use a form of simulation modeling to study the processes that shape language diversity patterns. Researchers tested the approach in Australia, and the model estimated 406 languages on the continent; the actual number of indigenous languages is 407.

 

The team - which includes linguists, geographers, ecologists, anthropologists and evolutionary biologists based in the United States, Brazil, Germany, Canada, and Sweden - adapted a form of modeling first created by ecologists to study the processes shaping species diversity.

 

The researchers began with a grid on a blank map. The computer model placed a population of people in one cell on the grid and then used a series of simple rules that defined how the population grew, spread across the map, and divided into separate populations speaking different languages.

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Top 10 Data Mining Algorithms, Explained

Top 10 Data Mining Algorithms, Explained | Best | Scoop.it

Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.


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PyVideo.org · SciPy - 5 Years of Python Lectures and Tutorials [Videos]

PyVideo.org · SciPy - 5 Years of Python Lectures and Tutorials [Videos] | Best | Scoop.it

SciPy 2015, the fourteenth annual Scientific Computing with Python conference, will be held this July 6th-12th in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.

 

The full program will consist of two days of tutorials by followed by three days of presentations, and concludes with two days of developer sprints on projects of interest to attendees.

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Interactive and extensive CSS Reference

Interactive and extensive CSS Reference | Best | Scoop.it
An extensive CSS reference with all the important CSS properties and info to learn CSS from the basics.
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Skim over 1700 TED talks with this spreadsheet (updated - 2016)

Skim over 1700 TED talks with this spreadsheet (updated - 2016) | Best | Scoop.it
More than 400 hours' worth of inspiring videos listed in one spreadsheet

 

TED features some of the most inspiring presentations you can watch today from the comfort of your home--with prominent speakers covering all sorts of topics, from technology to business to design to entertainment (and beyond). With more than 1,700 TED talks to watch, it isn't easy to choose your next video. This spreadsheet lists them for you.

 

It's a crowdsourced Google Docs spreadsheet, so it's not the most attractive way to look at available talks. You could instead browse videos on TED to see thumbnails of talks and filter them by subject or other factors. 

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American Libraries : Free Books : Free Texts : Download & Streaming : Internet Archive

American Libraries : Free Books : Free Texts : Download & Streaming : Internet Archive | Best | Scoop.it

The American Libraries collection includes material contributed from across the United States. Institutions range from the Library of Congress to many local public libraries. As a whole, this collection of material brings holdings that cover many facets of American life and scholarships.

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10 Excellent Tools for Creating Web Design Wireframes

10 Excellent Tools for Creating Web Design Wireframes | Best | Scoop.it

When starting a new web design project, it’s always a good idea to begin with a wireframe. The purpose of a wireframe is to communicate the layout of a page without getting caught up in color and design elements. Wireframes can be a big time saver as they help all parties involved come to an agreement on placement of major page elements such as headers, content areas, navigation menus, and footers. The key is to get the layout nailed down so major layout changes won’t take place once detailed design elements are in place.

 

There are several different routes that a designer can take for creating wireframes, and there are even applications designed specifically for this. Here are 10 excellent tools for creating wireframes.

 

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MIT Lectures: Structure and Interpretation of Computer Programs (20 Videos)

MIT Lectures: Structure and Interpretation of Computer Programs (20 Videos) | Best | Scoop.it
  • 1A: Overview and Introduction to Lisp
  • 1B: Procedures and Processes; Substitution Model
  • 1B: Procedures and Processes; Substitution Model
  • 2A: Higher-order Procedures
  • 2B: Compound Data
  • 3A: Henderson Escher Example
  • 3B: Symbolic Differentiation; Quotation
  • 4A: Pattern Matching and Rule-based Substitution
  • 4B: Generic Operators
  • 5A: Assignment, State, and Side-effects
  • 5B: Computational Objects
  • 6A: Streams, Part 1
  • 6B: Streams, Part 2
  • 7A: Metacircular Evaluator, Part 1
  • 7B: Metacircular Evaluator, Part 2
  • 8A: Logic Programming, Part 1
  • 8B: Logic Programming, Part 2
  • 9A: Register Machines
  • 9B: Explicit-control Evaluator
  • 10A: Compilation
  • 10B: Storage Allocation and Garbage Collection
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