This blog about series of videos was created by Kevin Markham. Kevin is a data science educator and the founder of Data School. He specializes in Python and machine learning. He has hundreds of hours of experience as a data science classroom instructor, and thousands of hours of experience developing high-quality data science educational materials.…Continue
Added by Emmanuelle Rieuf on June 17, 2016 at 2:30pm — No Comments
This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she loves is data science. The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time. So, she decided to marry these two loves in as productive a fashion…Continue
Your Step-By-Step Guide To Learning R Programming.
Do you want to learn R Programming?
Do you get overwhelmed by complicated lingo and want a guide that is easy to follow, detailed and written to make the process enjoyable?
If so, “R: Easy R Programming for Beginners - Your…Continue
Added by Emmanuelle Rieuf on June 16, 2016 at 10:30am — No Comments
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.
About the Technology
Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering…Continue
Added by Emmanuelle Rieuf on June 16, 2016 at 10:00am — No Comments
This article was posted by Bethany Cartwright. Bethany is the blog team's Data Visualization Intern. She spends most of her time creating infographics and other visuals for blog posts.
Whether you’re writing a blog post, putting together a presentation, or working on a full-length report, using data in your content marketing strategy is a must. Using data helps enhance your arguments by make your writing more compelling. It gives your readers context. And it…Continue
Added by Emmanuelle Rieuf on June 14, 2016 at 2:00pm — No Comments
This article was written by Dr. Randal S. Olson from his own blog. Dr. Randal S. Olson is a postdoctoral researcher working with Prof. Jason H. Moore at the University of Pennsylvania Institute for Biomedical Informatics. He specializes in artificial intelligence, machine learning, and data visualization, and regularly write about his latest work on his personal blog.
One oft-cited problem with Computer Science is its glaring…Continue
Added by Emmanuelle Rieuf on June 14, 2016 at 11:40am — No Comments
This article on a complete tutorial to learn Data Science with Pyhon from scratch, was posted by Kunal Jain. Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 8 years in field of Data Science. He learned basics of Python within a week. And, since then, he has not only explored this language to the depth, but also has helped many other to learn this language.
Python was originally a general purpose language. But, over the years, with strong…
A rather comprehensive list of algorithms can be found here. Many are posted and available for free on Github or Stackexchange. Algoritmia provides developers with over 800 algorithms, though you have to pay a fee to access them.…Continue
Added by Emmanuelle Rieuf on June 9, 2016 at 9:30am — No Comments
This article on "CERN just released 300 terabytes worth of data to the public", was posted by Alfredo Carpineti from IFLScience. Alfredo is an Italian Scientist and Science Communicator with a Ph.D. in Astrophysics and a Master of “Quantum Fields And Fundamental Forces”.
If you’ve ever dreamed of working on the largest experiment in the world, you can now make that dream a reality from the comfort of your own home. CERN has just released more than 300 terabytes (TB) of high-quality…Continue
Added by Emmanuelle Rieuf on June 8, 2016 at 10:00am — No Comments
This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not on GitHub.
This article "Revenge of the nerds" was written by the Data Team from The Economist. It is a daily chart that explains which degrees give the best financial returns. It concerns all degrees from American Universities (Sample of 452 institutions; based on 2012-13 costs.)
More blue points at the top means higher return for engineering, computer science and maths degrees. Note that admission rate does not seem to have a big impact on ROI, as if high admission rate comes with lower…Continue
Added by Emmanuelle Rieuf on June 8, 2016 at 8:30am — No Comments
Kcore Analytics is a website that developed an end-to-end framework to find the Influencers in complex social networks like Twitter. The big innovation in their approach is extracting, solely from influencers, summarized data to forecast global trends, from the markets to consumer products to social movements and revolutions.
Here is the list of the top 10 influencers in Data Science (screenshot): …Continue
This article is an introduction of 5 courses in Data Science Specialization from Coursera, developed and taught by leading professors. Coursera is an educational technology company that offers massive open online courses (MOOCs).
This Specialization, created by Johns Hopkins University, covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone…Continue
Added by Emmanuelle Rieuf on June 6, 2016 at 1:00pm — No Comments
With the innumerable amounts of data generated in the technology era, data scientists have become an increasingly needed vocation. The US just named its first Chief Data Scientist and all the top companies are hiring their own. Yet due to the novelty of this profession, many are not entirely aware of the many career possibilities that come with being a data scientist. Those in the field can look forward to a promising career and excellent compensation. To learn more about what you can do…Continue
This article was written by Baiju NT. Baiju NT is the editor and driving force of Big Data Made Simple. He is also a media professional, photographer, designer, philosopher, fitness freak and a basketball coach.
Baiju NT illustrates in his article a collection of Dilbert’s 20 funniest cartoons on Big Data, data mining, data privacy, data security, data accuracy.
Dilbert is an American comic…
Added by Emmanuelle Rieuf on June 3, 2016 at 1:30pm — No Comments
The full article about 51 expert tips for learning big data analytics was written by Molly Galetto. You can find 4 sections in this article.
Big data is everywhere, and small businesses and enterprises alike are making strides in transforming business outcomes through effective big data analytics. For today’s marketing and IT professionals, big data analytics is rapidly becoming an essential yet multi-faceted skill, and those who master big data analytics play a critical role in…Continue
Added by Emmanuelle Rieuf on June 2, 2016 at 5:00pm — No Comments
This list of Data Science tools for people who aren’t so good at Programming was compiled by Aarshay Jain, from Analytics Vidhya.
Programming is an integral part of data science. Among other things, it is considered that a mind which understands programming logic, loops, and functions has higher chances of becoming a successful data scientist. So, what about people who never studied programming subject in their school or college ?
This article on a complete tutorial to learn Data Science in R from scratch, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy.
R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user interface. The journey of R language…Continue
Added by Emmanuelle Rieuf on June 2, 2016 at 2:00pm — No Comments
This infographic came from Experts Exchange.
We may (sadly) live in a world devoid of flying cars and personal teleportation devices, but that doesn't mean technology isn't moving forward at an incredible pace. We compared the processing power for various computers and devices from 1956 to 2015 to visualize the 1 trillion-fold increase in performance over those six decades. By comparing each…Continue