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Machine Learning
Matplotlib vs. Plotly: Let’s Decide Once and for All

Matplotlib vs. Plotly: Let’s Decide Once and for All

Deep and rapid comparison in terms of 7 key aspects
Go to the profile of Bex T.
Bex T.
May 20
Monkeying with Dall-E

Monkeying with Dall-E

Generative Art Storytelling
Go to the profile of Harsha Angeri
Harsha Angeri
May 20
Latest
How To Become a Better Data Science Team

How To Become a Better Data Science Team

As a Data Scientist, collaboration is key
Go to the profile of Matt Przybyla
Matt Przybyla
May 20
A Tale of Two Architectures

A Tale of Two Architectures

Deploying Machine Learning Models as Microservices
Go to the profile of Felipe Melo
Felipe Melo
May 19
Git in 4 Minutes

Git in 4 Minutes

A succinct introduction to Git
Go to the profile of James Asher
James Asher
May 20
F-Distribution Simply Explained

F-Distribution Simply Explained

A simple and concise description of the F-Distribution
Go to the profile of Egor Howell
Egor Howell
May 20
The Perceptron Algorithm

The Perceptron Algorithm

Understand and code your own Perceptron Algorithm in R
Go to the profile of Benton Tripp
Benton Tripp
May 17
Molecules in augmented reality from ML-powered recognition of everyday objects and hand-drawn…

Molecules in augmented reality from ML-powered recognition of everyday objects and hand-drawn…

New paper presents a smartphone app that recognizes hand-drawn chemical structures and molecules in everyday stuff
Go to the profile of LucianoSphere
LucianoSphere
May 20
Make it a habit
How to Get the Most Out of Towards Data Science

How to Get the Most Out of Towards Data Science

Discover our best content and make learning your daily ritual
Go to the profile of TDS Editors
TDS Editors
Dec 13, 2018
Deep Learning
A Comprehensive Guide to Microsoft’s Swin Transformer

A Comprehensive Guide to Microsoft’s Swin Transformer

In-depth Explanation and Animations
Go to the profile of James Loy
James Loy
May 19
A Brief Overview of Machine Learning

A Brief Overview of Machine Learning

Learn the fundamentals of machine learning and artificial intelligence and their potential challenges and caveats.
Go to the profile of Suhas Maddali
Suhas Maddali
May 19
Build an Image Duplicate Finder System: A Guide

Build an Image Duplicate Finder System: A Guide

Your zero-to-hero guide to detecting duplicate and near-duplicate images
Go to the profile of Orjuwan Zaafarani
Orjuwan Zaafarani
Apr 29
Transformers and Multimodal: The Same Key for all Data Types

Transformers and Multimodal: The Same Key for all Data Types

The world of Machine Learning is undoubtedly fascinating, constantly growing, and capable of touching the most diverse sectors, from…
Go to the profile of Davide Coccomini
Davide Coccomini
May 19
Inference Optimization for Convolutional Neural Networks

Inference Optimization for Convolutional Neural Networks

Quantization and fusion for faster inference
Go to the profile of Lilit Yolyan
Lilit Yolyan
May 19
The What, Why and How of Generative Flow Networks

The What, Why and How of Generative Flow Networks

A guide to building your first GFlowNet in TensorFlow 2
Go to the profile of Mattbbiggs
Mattbbiggs
May 17
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