Subscribe to DSC Newsletter

Emmanuelle Rieuf's Blog (186)

The one critical skill many data scientists are missing

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.…

Continue

Added by Emmanuelle Rieuf on February 2, 2018 at 9:00am — No Comments

7 Visualizations You Should Learn in R

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 — 3 Comments

Machine Learning Guide and Tutorial for Software Engineers

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 — No Comments

Design Patterns for Deep Learning Architectures - with Free eBook

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 — No Comments

Book: Introduction to Statistics

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 — No Comments

A simple neural network with Python and Keras

This article was written by Adrian Rosebrock. Adrian is an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine.…



Continue

Added by Emmanuelle Rieuf on October 3, 2017 at 3:00pm — No Comments

An Introduction to Clustering and different methods of clustering

This article was written by Saurav Kaushik. Saurav is a Data Science enthusiast, currently in the final year of his graduation at MAIT, New Delhi. He loves to use machine learning and analytics to solve complex data problems.

Introduction

Have you come across a situation when a Chief Marketing Officer of a company tells you – “Help me understand our customers better so that we can market our…

Continue

Added by Emmanuelle Rieuf on October 1, 2017 at 4:30pm — No Comments

Book: Mastering Feature Engineering

Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this…

Continue

Added by Emmanuelle Rieuf on September 7, 2017 at 8:00am — No Comments

6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python)

This article was posted by Sunil Ray. Sunil is a Business Analytics and BI professional.

Source for picture: click…

Continue

Added by Emmanuelle Rieuf on September 3, 2017 at 7:30am — No Comments

Image Analysis with Deep Learning

This article was contributed by Nikita Johnson. 





The cost of large scale data collection and annotation often makes the application of machine learning algorithms…

Continue

Added by Emmanuelle Rieuf on July 28, 2017 at 6:00pm — No Comments

Seq2seq for NLP: encoder-decoder framework for Tensorflow

This document comes from Github.

Introduction

tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.…

Continue

Added by Emmanuelle Rieuf on July 17, 2017 at 9:00am — No Comments

Accelerating Convolutional Neural Networks on Raspberry Pi

This article was written by Koustubh. 

Unless you have been living under the rock, you must have heard of the revolution that deep learning and convolutional neural networks have brought in computer vision. Computers have achieved near-human…

Continue

Added by Emmanuelle Rieuf on July 10, 2017 at 8:00am — No Comments

How to choose a great Data Science book

This article was written by Radhouane Aniba. 

How to pick a Data Science book :

Choosing a data science book is one of the important steps to properly learn from the experts in the field. It doesn’t have to be labeled as a data science book as it can relate to one of its…

Continue

Added by Emmanuelle Rieuf on July 5, 2017 at 3:30pm — 1 Comment

Advances in Machine Learning Research

This paper was written by Bojan Ploj. Bojan is interested in machine learning, specialy in MLP learning algorithms. …
Continue

Added by Emmanuelle Rieuf on June 27, 2017 at 5:00pm — No Comments

Shooting yourself in the foot in various programming languages

This article comes from Toodarkpark. Below is an extract, covering a few of the programming languages listed in the original article.

The proliferation of modern programming languages (all of which seem to have stolen countless features from each other) sometimes makes it difficult to remember which language you're using. This guide is offered as a public service to help programmers in such dilemmas.…

Continue

Added by Emmanuelle Rieuf on June 26, 2017 at 9:30am — No Comments

The 10 Algorithms Machine Learning Engineers Need to Know

This article was written by James Le.

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples…

Continue

Added by Emmanuelle Rieuf on June 19, 2017 at 2:30pm — No Comments

Artificial Intelligence 2017: Top 100 Influencers, Brands and Publications

This article was written by Thomas Legoff. 

Artificial intelligence – or AI – is a true part of our world, as well as a substantial hub of interest for science and business. Companies are ferociously investing in, engaging in and including artificial intelligence in their operations. It is a fascinating technology that enables new options for companies, from detecting security intrusions…

Continue

Added by Emmanuelle Rieuf on June 5, 2017 at 8:30am — No Comments

Image Segmentation using deconvolution layer in Tensorflow

This article was written by Koustuch on CV-Tricks. 
In this series of post, we shall learn the algorithm for image segmentation and implementation of the same using Tensorflow. This is the first part of the series where we shall focus on understanding and be implementing a deconvolutional/fractional-strided-convolutional layer in…
Continue

Added by Emmanuelle Rieuf on June 5, 2017 at 7:30am — 1 Comment

Keras: Deep Learning library for Theano and TensorFlow

This document comes from Keras Documentation. 

You have just found Keras.

Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good…

Continue

Added by Emmanuelle Rieuf on May 20, 2017 at 11:30am — 1 Comment

5 data science books you should read in 2017

This article comes from Coursera Blog.

The Data Buzz series brings you a regular roundup of what’s trending in data science.

As data-driven technologies are more and more integrated into everyday life, knowledge of data science is becoming increasingly valuable. Here are five books to boost your data literacy – whether you’re new to the field or a seasoned expert.…

Continue

Added by Emmanuelle Rieuf on May 15, 2017 at 10:30am — No Comments

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2018   Data Science Central   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service