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LATEST NEWS

Dynamic Meta Embeddings

Elior Cohen
Jul 9, 2019

How to use multiple sets of embeddings together to solve one problem - Dynamic Meta Embeddings

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Why Your Data Science Project is Likely to Fail

Dr. Gideon Rosenthal
Jun 26, 2019

Has data science succeeded in increasing productivity or helping businesses make better strategic decisions? Shockingly, the answer – at present – seems to be a resounding no.

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How does FastText classifier work under the hood?

Amjad Abu-Rmileh
Feb 22, 2019

FastText, by Facebook Research, is a library for efficient learning of word representations and text classification. FastText supports supervised (classifications) and unsupervised (embedding) representations of words and sentences.

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The power of Brain-Computer interface: use your brain to play your video game

Amjad Abu-Rmileh
Feb 9, 2019

Here we show one application of machine learning and signal processing in Neuroscience; translating thoughts into actions with our Game-Based Brain-Computer interface (BCI).

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The Multiple faces of ‘Feature importance’ in XGBoost

Amjad Abu-Rmileh
Feb 8, 2019

Be careful when interpreting your features importance in XGBoost, since the ‘feature importance’ results might be misleading!

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From Science to Production in Minimum Effort

Elior Cohen
Oct 11, 2018

In the past year working through numerous data science projects in the organization I work for, I’ve spent hundreds of hours working with fellow data scientists.

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node2vec: Embeddings for Graph Data

Elior Cohen
Apr 16, 2018

Embeddings… A word that every data scientist has heard by now, but mostly in the context of NLP. So why do we even bother embedding stuff?

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SELU — Make FNNs Great Again (SNN)

Elior Cohen
Jul 21, 2017

Last month I came across a recent article (published June 22nd, 2017) presenting a new concept called Self Normalizing Networks (SNN). In this post I will review what’s different about them and show some comparisons.

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Reducing Dimensionality from Dimensionality Reduction Techniques

Elior Cohen
Jul 2, 2017

In this post I will do my best to demystify three dimensionality reduction techniques; PCA, t-SNE and Auto Encoders. My main motivation for doing so is that mostly these methods are treated as black boxes and therefore sometime are misused.

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How to predict Quora Question Pairs using Siamese Manhattan LSTM

Elior Cohen
Jun 7, 2017

In the past few years, deep learning is all the fuss in the tech industry. To keep up on things I like to get my hands dirty implementing interesting network architectures I come across in article readings.

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Data Science: Defining the Problem

Dr. Elan Sasson
Nov 26, 2017

You are a data scientist or engaged in a data science project in your organization. Congratulations! You have one of the most interesting, influential, and intellectually stimulating jobs on the market. You've mastered stats, machine learning, become a programming wizard, an expert in visualization, a big data evangelist, and...

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