ML Review

Highlights from Machine Learning Research, Projects and Learning Materials. From and For ML Scientists, Engineers an Enthusiasts.

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Machine Learning Digest

A hand-curated monthly round-up of credible papers, books, videos and software related to Machine Learning: https://mlreview.com.

ML Review Team

A hand-curated weekly round-up of credible papers, books, videos and software related to Machine Learning. https://twitter.com/ml_review

Latest Posts

Understanding building blocks of ULMFIT

Last week I had the time to tackle a Kaggle NLP competition: Quora Insincere Questions Classification. As it’s easy to understand from the…

Simple guide to Neural Arithmetic Logic Units (NALU): Explanation, Intuition and Code

The research engineers at DeepMind including well known AI researcher and author of the book Grokking Deep Learning, Andrew Trask have…

Multi-Modal Methods: Image Captioning (From Translation to Attention)

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two)

Helping AI Uncover the Mysterious Veil of Chinese Characters

This article is part of the Academic Alibaba series and is taken from the paper entitled “Learning Chinese Word Embeddings with Stroke…

Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

Recent Intersections Between Computer Vision and Natural Language Processing (Part One)

Making Sense of the Bias / Variance Trade-off in (Deep) Reinforcement Learning

What goes into a stable, accurate reinforcement signal?

How to Apply Distance Metric Learning to Street-to-Shop Problem

Let’s start with a definition of street-to-shop problem — identifying a fashion item in a user image and finding it in an online shop. Have…

Behind the Chat: How E-commerce Robot Assistant AliMe Works

How can you tell whether your shop assistant is a person or a robot?

Using your idle Deep Learning hardware for mining

Modern Deep Learning is not possible without GPUs, even simple tutorials on MNIST dataset are showing from 10..100-fold speed up running on…

Modern Theory of Deep Learning: Why Does It Work so Well

What can we learn from the latest research on the paradoxical effectiveness of Deep Learning “Alchemy”.

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