I’m still blown away by @ModernDive’s intuitive simulation-based approach to hypothesis testing.
— 🎄❄️ Andrew Heiss, festive PhD ❄️🎄 (@andrewheiss) December 6, 2018
Here’s a full #rstats example of how to use the infer package to see if women work in the public sector more than the private, using new World Bank data https://t.co/6bbPRyf1th pic.twitter.com/Qodl8iGhob
Forward & Backward Character Language Models for Conjoined Word Separation with fastai by Martin Boyanov https://t.co/t6RO6RMc6B
— Jeremy Howard (@jeremyphoward) December 6, 2018
Excellent 4-part series pulling apart the intuition and math behind convolutional neural netshttps://t.co/7qoqUuSwGA
— Jeremy Howard (@jeremyphoward) December 6, 2018
Reimplementations from scratch of Dropout, Adam, RMSProp, and basic neural nets using @PyTorch . Useful for helping to understand some of the foundations of deep learning. https://t.co/jOjYJBhzde
— Jeremy Howard (@jeremyphoward) December 6, 2018
The Hundred-Page #MachineLearning Book: https://t.co/K9hnImPRcn #abdsc #BigData #AI #DataScience
— Kirk Borne (@KirkDBorne) December 6, 2018
First 6 chapters available:
1: Intro
2: Notation & Definitions
3: Fundamental #Algorithms
4: Anatomy of a Learning Algorithm
5: Basic Practice
6: #NeuralNetworks & #DeepLearning pic.twitter.com/TtiyrkpV77
The Cognitive Bias Codex for #DataScientists: https://t.co/GqlwEddqDL #BigData #DataEthics #DataScience #StatisticalLiteracy by @mattmayo13 via @kdnuggets pic.twitter.com/nsa2E0EKBR
— Kirk Borne (@KirkDBorne) December 6, 2018
This is a good price for this book by Stephen Few. I have it. His books are classic for learning about the basics of good data visualization designhttps://t.co/1AGXGDDtT5
— Data Science Renee (@BecomingDataSci) December 6, 2018
After dealing w/ ridiculous classification errors yest, seems like a timely re-read...
— Mara Averick (@dataandme) December 6, 2018
"Classification vs. Prediction" ✒️ @f2harrellhttps://t.co/UWxKXq8HtQ #statistics
/* 🖼 silliness me */ pic.twitter.com/fUff14gbls
I will give a talk next week at "The 2nd International Workshop on Big Data Analytic for Cyber Crime Investigation" in Seattle on the application of #DeepLearning to #forensics based on a solution to a @kaggle challenge.
— Vladimir Iglovikov (@viglovikov) December 6, 2018
The written version of it https://t.co/L6KiNOi5NZ pic.twitter.com/5t1StP11pF
#NeurIPS2018 Online Videoshttps://t.co/5GLsS3c1Dq pic.twitter.com/wjpNun2TYf
— ML Review (@ml_review) December 5, 2018
💼 Put your grade-school thinking to work…
— Mara Averick (@dataandme) December 5, 2018
🤔 "How to solve a business problem using data" by @LittleMissData https://t.co/rCr4rODyQk pic.twitter.com/YTj0WVZyyV
⚡️ Excellent code-through by @blaine_bateman:
— Mara Averick (@dataandme) December 4, 2018
📈 "Time Series Analysis for Business Forecasting with Artificial Neural Networks" https://t.co/MPGmMndHKf via @bizScienc #rstats #keras pic.twitter.com/KOjm3d6mkf
