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Emmanuelle Rieuf's Blog (176)

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 to…

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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.…

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Added by Emmanuelle Rieuf on July 17, 2017 at 9:00am — 1 Comment

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…

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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…

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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. …
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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.…

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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…

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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…

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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…
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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…

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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.…

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

Estimating the Age of a Person with AI Techniques

Abstract:

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…

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Added by Emmanuelle Rieuf on May 14, 2017 at 3:30pm — No Comments

An executive’s guide to machine learning

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…

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Added by Emmanuelle Rieuf on May 11, 2017 at 6:30am — No Comments

How well do facial recognition algorithms cope with a million strangers?

This article was written by Jennifer Langston. Co-authors include UW computer science and engineering professor Steve Seitz, undergraduate student and web developer Evan Brossard and former student Daniel Miller.…

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Added by Emmanuelle Rieuf on May 11, 2017 at 6:30am — No Comments

New Trends in Artificial Intelligence & Machine Learning

This article was written by Hardik Gohil, Sr Content Writer. 

Artificial Intelligence has effectively convinced its necessity to the entire world by performing excellently in various industries. Almost all the industries including manufacturing, healthcare, construction, online retail, etc. are adapting to the reality of IoT to leverage its advantages.

Machine learning technology is…

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Added by Emmanuelle Rieuf on May 10, 2017 at 11:30am — No Comments

A curated list of resources dedicated to bayesian deep learning

This article comes from GitHub.

A curated list of resources dedicated to bayesian deep learning.

2013:

  1. Deep gaussian processes|Andreas C. Damianou,Neil D. Lawrence|2013 -- Source:…
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Added by Emmanuelle Rieuf on May 10, 2017 at 7:30am — No Comments

Time Series Analysis With Generalized Additive Models

This article comes from Algobeans Layman tutorials in analytics. 

Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time—we are always interested to foretell the future.

Temporal Dependent Models

One intuitive way to make…

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Added by Emmanuelle Rieuf on April 29, 2017 at 3:00pm — No Comments

Machine Learning Skills Among Data Scientists

This article was posted by Bob E. Hayes on Customer think. Bob, PhD is Chief Research Officer at Appuri. He a scientist, blogger and author on CEM and data science.

Data scientists have a variety of different skills that they bring to bear on Big Data projects. These skills cut across Subject Matter Expertise, Technology, Programming, Math & Modeling and Statistics. One valuable…

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Added by Emmanuelle Rieuf on April 18, 2017 at 9:00am — No Comments

Ranking All 50 States by Average Credit Score of its Citizens

This article was contributed by Statistical Future.

Whether you want it to or not, credit and its availability plays a major role in everyone’s life, whether or not you directly experience it. For the average person, credit scores are mainly going to be used for three things: buying a house, buying a car, and using credit cards.

In the world of business, things get exponentially more complicated and it also ended up leading to a horrible housing crash and recession…

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Added by Emmanuelle Rieuf on April 15, 2017 at 9:30am — 1 Comment

The Startup Founder’s Guide to Analytics

This article was written by Tristan Handy. Tristan is the founder and president of Fishtown Analytics: helping startups implement advanced analytics.

I’m very confident of that, because today, everyone needs analytics. Not just product, not just marketing, not just finance… sales, fulfillment, everyone at a startup needs analytics today.…

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Added by Emmanuelle Rieuf on April 10, 2017 at 11:00am — No Comments

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