I made a notebook with examples of cool Python features that either took me a long time to find out or were too intimidating for me to use. I especially focus on the features I find useful for machine learning. github.com/chiphuyen/pyth…

How to Speed up Pandas by 4x with one line of code - KDnuggets buff.ly/2O6GWPF

This is awesome! Goku Mohandas is working on practicalAI practicalai.me – a free tool to discover and organize community-curated ML content! Check it out and please share your feedback!

AI Curriculum ⚪MIT 6.S191: Introduction to Deep Learning ⚪CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 ⚪CS224n: NLP with Deep Learning, Stanford | Winter 2019 ⚪CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019 github.com/Machine-Learni…

0/ Essential philosophy for #DataScience, a thread of 32 questions. Grab a friend (virtually) and tackle these 32 essential questions (all with more than one reasonable answer) that every serious #data professional should answer for themselves. #philosophy #rstats #statistics

ICYMI: Springer has made 400+ textbooks free to download, including CS books on Python, deep learning, data science & AI. Full list: bit.ly/SpringerCS #MondayMotivation #ML #DeepLearning #AI #CS #BigData #Python #Scala #TensorFlow #Programming #Coding

sktime - scikit-learn like library for time series #machinelearning. Supports forecasting, time series classification, and time series regression. github.com/alan-turing-in…

Another useful bookmark I just discovered today: amitness.com/2020/06/google… First and formost finally I can get rid of all my tons of "untitled.ipynb". Who knew colab had a scratch notebook? Or that we can run flask apps in colab?!

Today I learned you can use the `-m` flag for `git commit` several times to add separated paragraphs to the commit message. 🔗 git docs: git-scm.com/docs/git-commi… Video alt: Usage of `git commit` with three `-m` flags.

Solution from my teammate. He has the best single model. He achieved this using only Colaboratory , Kaggle TPU and using special loss function. kaggle.com/c/prostate-can…

I’ve been working as a software engineer for 10 years 🎂 Man, does time fly! Here’s a list of ten honest takes on the job and the industry. ⬇️

😐😡🥲🤢😂 What's your score in my newsletter quiz? How many of these offenses against data have you witnessed during your career? (Quiz: bit.ly/quaesita_sfix) #DataScience #Statistics #rstats #MachineLearning #AI #decisions

@uku_peter From a series of opinionated blog posts I wrote about AutoML: fast.ai/2018/07/12/aut… fast.ai/2018/07/16/aut… fast.ai/2018/07/23/aut…

Self-supervised learning in the WSJ with Kyunghyun Cho .

Mixed Integer Programming is an NP-hard optimisation problem arising in planning, logistics, resource allocation, etc. Presenting a solver with neural heuristics that learns to adapt to the problem domain, outperforming SCIP on Google-scale MIPs: dpmd.ai/13349 (1/)

🤔 What’s trending in #tech? #technology #techtwitter

200k LinkedIn giveaway: 🔹 10 signed physical books 🔹 90 1-year subscriptions to the ByteBytego (digital version of SD vol1 and vol2) To enter: ✅ Follow me on Twitter ✅ Like and RT ✅ Subscribe to our Youtube channel: bit.ly/3QsJcQM ⏰ Giveaway ends in 72 hours

It's been ~15 months since I switched fields (into DB) and started a PhD, so I did a bit of freewriting. I reflect on ML engineering and some uncomfortable learnings: shreya-shankar.com/phd-year-one/

Favorite recent jupyter notebook discovery - the %debug magic: 1. Get an exception. 2. Insert a new cell, type %debug and run it. An interactive debugger will open bringing you to where the exception occurred and allowing you to look around!