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
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
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
Added by Emmanuelle Rieuf on October 3, 2017 at 3:00pm — No Comments
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.
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
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 widely practiced but little discussed topic.
Added by Emmanuelle Rieuf on September 7, 2017 at 8:00am — No Comments
This article was posted by Sunil Ray. Sunil is a Business Analytics and BI professional.
Source for picture: click here
Here’s a situation you’ve got…Continue
Added by Emmanuelle Rieuf on September 3, 2017 at 7:30am — No Comments
This article was contributed by Nikita Johnson.
The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One…
Added by Emmanuelle Rieuf on July 28, 2017 at 6:00pm — No Comments
This document comes from Github.
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.
Added by Emmanuelle Rieuf on July 17, 2017 at 9:00am — No Comments
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 level accuracy for most of the tasks. However, most of the top…Continue
Added by Emmanuelle Rieuf on July 10, 2017 at 8:00am — No Comments
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 many branches.
In this short review, I am going to…Continue
Added by Emmanuelle Rieuf on June 27, 2017 at 5:00pm — No Comments
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
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
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
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
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
In this paper, we propose hybrid principal component analysis (HPCA) to extract appearance feature of a face and inter-age group variation-based classifier (IAGVC) with regression to estimate age of a person. The proposed age estimation system is robust and less sensitive to outliers where nonuniform…Continue
Added by Emmanuelle Rieuf on May 14, 2017 at 3:30pm — No Comments
This article was written by Dorian Pyle and Cristina San Jose on McKinsey&Company. Dorian Pyle is a data expert in McKinsey’s Miami office, and Cristina San Jose is a principal in the Madrid office.
It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix.
Machine learning is based on algorithms…Continue
Added by Emmanuelle Rieuf on May 11, 2017 at 6:30am — No Comments