Mickael Le Gal

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The Periodic Table of Data Science

(This article was first published on <b>DataCamp Blog</b>, and kindly contributed to R-bloggers)<p>This periodic table can serve as a guide to navigate the key …

Data Science

The Competitive Landscape for Machine Intelligence

Three years ago, our venture capital firm began studying startups in artificial intelligence. AI felt misunderstood, burdened by expectations from science fiction, and so for the last two years we’ve tried to capture the most-important startups in the space in a one-page landscape. (We prefer the …

Machine Intelligence Will Let Us All Work Like CEOs

When I started my career I was astounded by how superhuman some Fortune 500 executives were. It seemed they were magicians. Every time they answered an impromptu question, the response was refined. Every email they sent was worded perfectly, every decision they made based on deep market knowledge …

A Magical Introduction to Classification Algorithms

A Magical Introduction to Classification Algorithms

Books

Prophet: forecasting at scale

Today Facebook is open sourcing Prophet, a forecasting tool available in Python and R. Forecasting is a data science task that is central to many …

Data Science

8 simple ways how to boost your coding skills (not just) in R

<b>Our world is generating more and more data, which people and businesses want to turn into something useful. This naturally attracts many data</b> …

Data Science

Stitch Fix Algorithms Tour

As noted, when a client first signs up, he or she fills out a Style Profile (it can be updated at any time). Then, scheduling a delivery is easy: an …

Stitch Fix

How to choose a project to practice data science

Here at Sharp Sight, I’ve derided the “jump in and build something” method of learning data science for quite some time.<p>Learning data science by …

Data Science

How is Deep Learning Changing Data Science Paradigms?

Data Scientist <br>Schibsted Product & Technology, London<p>Written on 16 February 2017<p>Deep learning is changing everything – and it’s here to stay. Just as …

Machine Learning

TensorFlow Quick Tips

TensorFlow was the new kid on the block when it was introduced in 2015 and has become the most used deep learning framework last year. I jumped on …

Deep Learning

Redirecting…

Implementing the Gradient Descent Algorithm in R

(This article was first published on <b>Environmental Science and Data Analytics</b>, and kindly contributed to R-bloggers)<p>A Brief Introduction<p>Linear …

5 Machine Learning Projects You Can No Longer Overlook

5 Machine Learning Projects You Can No Longer Overlook

Machine Learning

R for Excel Users

R for Excel Users

Data Science

What is a Data Scientist?

06 Feb 2017<p>Over the last year, I’ve been focusing at writing posts to help aspiring data scientists get into the field. I’ve been sharing as much as …

Data Science

Clustering Similar Stories Using LDA

There is more to a story than meets the eye, and some stories deserve to be presented from more than just one perspective. With Flipboard 4.0, we have released story roundups, a new feature that adds coverage from multiple sources to a story and provides you with a fuller picture of an event.<p>Here’s …

Data Coding 101 - Introduction to Bash

<i>Note: to get the most out of this article, you should not just read, but actually do the coding part with me!</i> <i><br>If you don’t have the data</i> …

Linux

Scikit-Learn Cheat Sheet: Python Machine Learning

Scikit-Learn Cheat Sheet: Python Machine Learning

Python Programming

Books I like

(This article was first published on <b> Peter's stats stuff - R</b>, and kindly contributed to R-bloggers)If you’re serious about learning, you probably …

Data Science

4 Steps To Learn TensorFlow When You Already Know scikit-learn

Many data enthusiasts of today learned Data Science basics a few years ago, with the classical winning triptych :<p><b>Andrew Ng MOOC</b>• <b><br>Kaggle</b>• <b><br>scikit-learn</b><p>At …

What I Learned Implementing a Classifier from Scratch in Python

04 Jan 2017<p><i>This post is part of the Learning Machine Learning series. It’s based on Chapter 1 and 2 of Python Machine Learning</i>.<p>Machine learning can …

Machine Learning

Yes you should understand backprop

When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations …

A Kaggler's Guide to Model Stacking in Practice

IntroductionStacking (also called meta ensembling) is a model ensembling technique used to combine information from multiple predictive models to …

Data Science

Best practices for interviewing data science candidates

So, you’ve navigated the interview process and landed a job as a data scientist — great! And the company is successful and your team is …

Employment

The Great A.I. Awakening

<b>Prologue: You Are What You Have Read</b><p>Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google …

Machine Learning

Machine Learning Bookshelf

<b>Hi!</b> I am a Data Scientist based in London with a strong background in Engineering Sciences.<p>Below, I share a list of interesting machine learning …

Machine Learning

The Most Boring/Valuable Data Science Advice

Here's the thing<p>I'm going to make this quick. You do a carefully thought through analysis. You present it to all the movers and shakers at your …

Data Science

Modern Pandas (Part 2): Method Chaining

<i>Author's Note</i>Good news everyone, Wes has announced a 2nd edition of <i>Python for Data Analysis</i>!Dear Twitter friends: I have started the process of …

Python Programming
Python Programming

Open sourcing the Embedding Projector: a tool for visualizing high dimensional data

Posted by Daniel Smilkov and the Big Picture group<br>Recent advances in Machine Learning (ML) have shown impressive results, with applications ranging …

Machine Learning