Shanti Jha

Data Science #R #Python #ApacheSpark #Scala #MachineLearning ~😁~ #Yoga🧘‍♀️#Runner🏃‍♀️#Singer👩‍🎤

[Shanti Jha @shan_gemini]

https://t.co/fE1d3Cp2X9

[Cristóbal Valenzuela @c_valenzuelab]

I made a text editor that runs a LSTM model using @deeplearnjs to suggest new lines while you write. Try it here: https://t.co/yS93cpoRek

[Shanti Jha @shan_gemini]

#FeatureVisualization
https://t.co/li7vlRWuf0

[Deloitte Government @DeloitteGov]

How text #analytics can be used by governments to efficiently handle and analyze voluminous documents https://t.co/fwwDigQSjB

[Google AI @GoogleAI]

AutoML for large scale image classification and object detection https://t.co/ccnrNHAhvI

[Radim Řehůřek @RadimRehurek]

Interested in the resurgence of "SVD as alternative to #word2vec"? My article on the topic, incl. benchmarks & code:
https://t.co/EBK3ItbfGU

[Andrej Karpathy @karpathy]

Efficient Processing of Deep Neural Networks: A Tutorial and Survey https://t.co/1YkpCPxOcE good reading.

[Georgina Cosma @gcosma1]

Great! TensorFX to simplify machine learning w/ TensorFlow (w/ code) https://t.co/xfuFfQf43k #DataScience #DeepLearning #TensorFlow #Python

[Sebastian Ruder @seb_ruder]

New blog post: Word embeddings in 2017 - Trends and future directions https://t.co/BiFMn3zAzI

[Forwards @R_Forwards]

Shanti Jha @shan_gemini blog: https://t.co/t4cjio4Xc9

#rstats #WOCAffirmation 21/n

[Georgina Cosma @gcosma1]

Visualizing Layer Representations in Neural Networks (w/ examples & Py code) https://t.co/pVbAiar6Mt #DataScience #datamining #DeepLearning

[Randy Olson @randal_olson]

Here's a #Python #MachineLearning notebook that I made for newcomers to the #DataScience field.

https://t.co/sLiO2we0Ys

[Yann LeCun @ylecun]

Fairseq, now in PyTorch!
The open-source convolutional sequence-to-sequence engine from FAIR is now available in... https://t.co/E5tCqHV3eZ

[Georgina Cosma @gcosma1]

Dimensionality reduction w/ the t-SNE algorithm (w/ Py code and example) https://t.co/WT6VMsk6nd #DataScience #datamining #featureextraction

[Georgina Cosma @gcosma1]

Great! Overview of the settings of Reinforcement Learning & its key algorithms. https://t.co/7GYR57JDYE #DataScience #DeepLearning #AI

[Reza Zadeh @Reza_Zadeh]

Learning to see through fog by synthetically adding fog to regular data. Evaluates on real foggy data. Useful in SF. https://t.co/W4fW0ax04z

[Kyle McDonald @kcimc]

i wrote a short post "neural nets for generating music": a very brief history + survey of the last few years https://t.co/HXiejYZZQK

[hardmaru @hardmaru]

An MNIST for Fashion. Drop-in 28x28px replacement for MNIST, because it needed to be done! https://t.co/7IZEbzoGPK

[Randy Olson @randal_olson]

Interactive #dataviz comparing word usage in sacred texts. #religion

https://t.co/uRqhnqgTn2

[Lillian 🚀 Fractional CMO for tech startups @Strategy_Gal]

Introduction to Spark GraphX https://t.co/etAKa5WX7h #BigData #Analytics