How to use Residual Plots for regression model validation?
Using residual plots to validate your regression models
Finding cyclic patterns: a tutorial on how to implement STFT in Python
If you have ever heard Python and Fourier nouns, chances are you’ll find this post useful: here I will explore a simple way to implement…
BCrypt Explained
Intro If you're into Cryptography For Beginners, you're in the right place. Maybe you're j...
Millions of tiny databases
An Introduction to Support Vector Regression (SVR)
Using Support Vector Machines (SVMs) for Regression
Beyond A/B Testing: Primer on Causal Inference
Making the most out of your experiments and observational data
Introduction to D3 / MIT Visualization Group / Observable
So far in 6.859, we've primarily been working with visual analysis grammars like Vega-Lite or VizQL (Tableau). These grammars break visualization design down into a process of specifying mappings (or visual encodings) between data fields and the properties of graphical objects…
A Journey Into Reinforcement Learning — Temporal-Difference Learning
Optimizing value functions by bootstrapping through experience.
Building an Incremental Recommender System: Part II
Going above and beyond state-of-the-art with confidence!
CompressionVAE — A Powerful and Versatile Alternative to t-SNE and UMAP
Introducing a fast, easy to use, deep learning based dimensionality reduction tool
[P] pytorch-optimizer -- collections of ready to use optimization algorithm
249 votes, 21 comments. pytorch-optimizer -- collections of ready to use optimization algorithms for PyTorch, includes: AccSGD, AdaBound, AdaMod…
Fast & Asynchronous in Python
Accelerate Your Requests Using asyncio
Self Supervised Depth Estimation: Breaking down the ideas
Learning depth without manual annotation
Rahul Agarwal on LinkedIn: #regex #python #datascience #nlp
"The Ultimate Guide to using the Python regex module" https://lttr.ai/Nt5c #regex #Python #datascience #nlp
Vincent Boucher on LinkedIn: #transformer #bert #nlp
Pre-training SmallBERTa - A tiny model to train on a tiny dataset An end to end colab notebook that allows you to train your own LM (using HuggingFace…
A two-person startup already uses twenty-eight other tools | Hacker News
Hypothesis Testing Explained as Simply as Possible
One of the most important concepts for Data Scientists
Ultra-High Resolution Image Analysis with Mesh-TensorFlow
Posted by Le Hou and Youlong Cheng, Software Engineers, Google Research Deep neural network models form the backbone of most state-of-the-art ima...
Deep Transfer Learning for Image Classification
A step-by-step tutorial from data import to accuracy evaluation
✚ How to Make a Dynamic Multi-population Pyramid in Excel
Create better population pyramids that allow for improved comparisons between sexes and populations.
Set up a Dask Cluster for Distributed Machine Learning
Create a Dask environment only by connecting machines using SSH
3D Deep Learning Made Easier — A Brief Introduction to Facebook’s PyTorch3D
Facebook released the PyTorch3D framework that supports deep learning in 3D environments. Find out what it is.
The Curious Case of Kalman Filters
Please Stop Doing These 5 Things in Pandas
These mistakes are super common, and super easy to fix.
The Big Bad NLP Database: Access Nearly 300 Datasets
Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.
Advanced usage of Python requests: timeouts, retries, hooks
Learn about the advanced features the requests library hides under the hood. DRY base URLs, hooks, retry on failure, default timeouts and mocking.
The Great CEO Within
If you’re looking for a primer on many of the responsibilities of being a startup CEO, read The Great CEO Within. Matt Mochary wrote the book. He founded a company which he sold to MCI and now coaches startup CEOs, amongst other philanthropic efforts. The best part of this book…
Gandalf: an intelligent, end-to-end analytics service for safe deployment i
QR Matrix Factorization
Least Squares and Computation (with R and C++)
The Mechanics of Attention Mechanism
TLDR: This is basically about converting the original attention paper by Yoshua Bengio’s group to flowcharts. Check the last diagram…
Convex Hull: An Innovative Approach to Gift-Wrap your Data
How to Leverage Data Visualization with Wrapping Algorithm
From PyTorch to PyTorch Lightning — A gentle introduction
This post walks through a side-by-side comparison of MNIST implemented using both PyTorch and PyTorch Lightning.
Beating the baseline recommender using Graph and NLP techniques in PyTorch
A Crash Course in Game Theory for Machine Learning: Classic and New Ideas
Building a strong baseline recommender using PyTorch, on a regular laptop
Introducing fastpages: An easy to use blogging platform with extra features
This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.
Exploring the fundamentals of multi-armed bandits
Multi-armed bandits are a simple but very powerful framework for algorithms that make decisions over time under uncertainty. “Introduction to Multi-Armed Bandits” by Alex Slivkins provides an accessible, textbook-like treatment of the subject.
Login Form Using Semantic-UI
55K subscribers in the angularjs community. A community for the awesome MVC JS framework.
Build a real-time chat app using Socket.io and Angular.JS
55K subscribers in the angularjs community. A community for the awesome MVC JS framework.
Deep Learning Algorithms - The Complete Guide | AI Summer
All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing
How to brainstorm great business ideas
It's been said that ideas don't matter, and that only execution does. I wholeheartedly disagree. You need both to succeed, but you can only get so good...
Musicians Algorithmically Generate Every Possible Melody, Release Them To P
Two programmer-musicians wrote every possible MIDI melody in existence to a hard drive, copyrighted the whole thing, and then released it all to the public in an attempt to stop musicians from getting sued. From a report: Programmer, musician, and copyright attorney Damien…
Dissecting The Transformer
We saw how attention works and how it improved neural machine translation systems (see the previous blogpost), we are going to unveil the secrets behind the power of the most famous NLP models nowadays (a.k.a BERT and friends), the transformer. In this second part, we are going…
Decoding NLP Attention Mechanisms
Arguably more famous today than Michael Bay’s Transformers, the transformer architecture and transformer-based models have been breaking all kinds of state-of-the-art records. They are (rightfully) getting the attention of a big portion of the deep learning community and…
MIT Technology Review on LinkedIn: A little-known AI method can train on your health data without threatening…
This little-known method could very well be the answer to the greatest obstacle facing artificial intelligence's adoption in health care. (from March)
Roam Research – A note taking tool for networked thought.
As easy to use as a word document or bulleted list, and as powerful for finding, collecting, and connecting related ideas as a graph database. Collaborate with others in real time, or store all your data locally.
How to Increase Slew Rate in Op Amps
Learn how to get faster composite op-amp dynamics by raising the slew rate.
A gentle introduction to Hamming codes
A gentle introduction to Hamming codes, error correcting binary codes whose words are all a Hamming distance of at least 3 apart.
Understanding Ruby's block/proc parsing
In Ruby, methods can take a single block as an argument, which can be specified explicitly in the met...
100x faster Hyperparameter Search Framework with Pyspark
This post is about setting up a hyperparameter tuning framework for Data Science using scikit-learn/xgboost/lightgbm and pySpark