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
This article was written by Sara Roberts. As Co-Founder and Principal Consultant at Category One Consulting (C1C), Sara is committed to helping organizations maximize their people and program effectiveness through the application of research, analytics, and evidence-based practice.
Organizations have understood the importance of using data to inform financial, sales, and marketing decisions for quite some time; however, this data-driven focus has only recently extended itself…Continue
Added by Emmanuelle Rieuf on April 18, 2016 at 7:30am — No Comments
This article was posted by Manish Saraswat on Analytics Vidhya. 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.
Machine learning and data science are being looked as the drivers of the next industrial revolution happening in the world today. This also means that there are numerous …Continue
Added by Emmanuelle Rieuf on April 16, 2016 at 1:00pm — No Comments
This article was written by Bernard Marr.
Almost everyone can agree that big data has taken the business world by storm, but what’s next? Will data continue to grow? What technologies will develop around it? Or will big data become a relic as quickly as the next trend — cognitive technology? fast data? — appears on the horizon. …Continue
Added by Emmanuelle Rieuf on February 23, 2016 at 8:00am — No Comments
This article was written by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry.
GraphLab came as an unexpected breakthrough on my learning plan. After all, ‘ Good Things Happen When You Expect Them Least To Happen’. It all started with the end of Black Friday Data Hack. Out of 1200 participants, we got our winners and their…Continue
Added by Emmanuelle Rieuf on February 20, 2016 at 3:30pm — No Comments