This article was posted by Dean Attali. Dean is currently an R-Shiny consultant.
You can do quite a lot… Continue
Added by Emmanuelle Rieuf on October 10, 2018 at 9:30am —
This article was written by Adit Deshpande on his own blog.
This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on applying deep learning to Natural Language Processing. The … Continue
Added by Emmanuelle Rieuf on October 9, 2018 at 3:30pm —
This article was written by Rahul Saxena.
The decision tree classifier is a supervised learning algorithm which can use for both the classification and regression tasks. As we… Continue
Added by Emmanuelle Rieuf on October 6, 2018 at 11:30am —
This article comes from Deep Learning Patterns.
Note to reader: Diving into this material here can be a bit overwhelming. One way though to get an understanding of the thought process is to follow the… Continue
Added by Emmanuelle Rieuf on June 20, 2018 at 8:30am —
This article was published by Andre De Castro on Blockgeeks. Andre is the CEO & Co-Founder of Blockchain of Things, Inc.
Blockchain has become a media buzz due to its unique and powerful qualities. While a lot of excitement exists for its use in both financial and identity applications, a new and more exciting area for this technology has emerged. It is … Continue
Added by Emmanuelle Rieuf on June 15, 2018 at 3:00am —
This article was written by Abby Jackson. Before joining Business Insider's education team, Abby was at JPMorgan where she worked in the chief investment office and treasury.
Stanford University's acceptance rate hit an all-time low for the class of 2020, with 4.69% of applicants…
Added by Emmanuelle Rieuf on June 14, 2018 at 7:00pm —
This article was written by Monica Rogati. Monica is an independent data science executive and advisor. She built key data products and teams at Jawbone and LinkedIn; she now helps companies make the most out of their data.
Do a project you care about. Make it good and share it.
There’s a lot of interest in becoming a data scientist, and for good reasons: high impact, high job satisfaction, high salaries,… Continue
Added by Emmanuelle Rieuf on June 14, 2018 at 11:00am —
This article was posted by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry.
Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling. Due to their popularity, a lot of analysts even end up thinking that they are the only form of regressions. The ones who are slightly more involved think that they… Continue
Added by Emmanuelle Rieuf on June 8, 2018 at 7:30am —
This article was posted by Roberto Rösler on his personal blog about R and data mining. Roberto is a data scientist working at a major telecommunication company in Germany.…
Added by Emmanuelle Rieuf on June 7, 2018 at 9:00am —
This article was written by Adam Geitgey. Adam is interested in computers and machine learning. He likes to write about it.
This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading …
Added by Emmanuelle Rieuf on June 3, 2018 at 6:00pm —
This article was written by Jean Francois Puget.
What programming language should one learn to get a machine learning or data science job? That's the silver bullet question. It is debated in many forums. I could provide here my own answer to it and explain why, but I'd rather look at some… Continue
Added by Emmanuelle Rieuf on June 1, 2018 at 9:00am —
This article was posted by Ingrid Daubechies on Quanta Magazine. Ingrid is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University. She served as president of the International Mathematical Union from 2011 to 2014.
Machine learning works spectacularly well, but mathematicians aren’t quite sure why.…
Added by Emmanuelle Rieuf on April 18, 2018 at 8:30am —
This article was posted by Adam Geitgey. Adam is Interested in computers and machine learning and he likes to write about it.
Speech recognition is invading our lives. It’s built into our phones, our game consoles and our smart watches. It’s even automating our homes. For just $50, you can get an Amazon Echo Dot — a magic box that… Continue
Added by Emmanuelle Rieuf on April 18, 2018 at 3:00am —
This article was written by S. Richter-Walsh. S. Richter-Walsh likes to write about environmental science and also enjoy posting interesting data analyses and visualisations.
A very useful machine learning method which, for its… Continue
Added by Emmanuelle Rieuf on April 6, 2018 at 5:30pm —
This article was written by John Hammink. John is Chief Evangelist for Treasure Data. An 18-year veteran of the technology and startup scene, he enjoys travel to unusual places, as well as creating digital art and world music.
With the explosion of “Big Data” over the last few years, the need for people who know how to build and manage data-pipelines has grown. Unfortunately, supply has not kept up with demand and there seems to be a shortage of engineers focused on… Continue
Added by Emmanuelle Rieuf on March 6, 2018 at 6:00pm —
This article was written by Emma Walker. Emma is a data scientist at Qriously.
When I started to learn about data science and consider it as a career choice, there was a diagram that I came across regularly and still come across today, in articles and even text books aimed at introducing and educating the world about the “sexiest job of the 21st century.” First created by Drew Conway, it illustrates the three broad skill groups you need to be a data scientist.…
Added by Emmanuelle Rieuf on February 2, 2018 at 9:00am —
This article was posted by Dikesh Jariwala on R Bloggers.
With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualization is an art of how to turn numbers into useful knowledge.
R Programming lets you learn this art by offering a set of inbuilt functions and libraries to build visualizations and present data. Before the… Continue
Added by Emmanuelle Rieuf on January 13, 2018 at 9:00am —
This article was written by Nam Vu on GitHub.
What is it?
This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer.My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the Math for the beginner. This approach is unconventional because it’s the top-down and results-first approach designed for… Continue
Added by Emmanuelle Rieuf on January 11, 2018 at 1:00pm —
This article comes from DeepLearningPatterns..
Deep Learning can be described as a new machine learning toolkit that has a high likelihood to lead to more advanced forms of artificial intelligence. The evidence for this is in the sheer number of breakthroughs that had occurred since the beginning of this decade. There is a new found optimism in the air and we are now again in a new AI spring.
Unfortunately, the current state of deep learning appears to many ways to be… Continue
Added by Emmanuelle Rieuf on January 10, 2018 at 11:30am —
Authored by Henry Gersh, with Habiba Emadi.
Data analysis will be invaluable to any student that is considering studying Statistics at University, College or High School. The book contains both Descriptive and 1-sample Inferential Statistics and is crammed with easy to understand examples, solved problems and supplementary questions.
The book also includes 5 complete trial exams with very detailed solutions. The trial exams contain a grading system that… Continue
Added by Emmanuelle Rieuf on November 30, 2017 at 8:30am —