ML Fundamentals

MONAI – An Open Source Framework for AI Development in Medical Imaging

MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev

Linear Programming, PySimpleGUI, and More | Real Python Podcast #17

Simple Fast 3-step Python OCR using Deep Learning 40+ Languages

3D Deep Learning with PyTorch3D by Nikhila Ravi

Inside TensorFlow: New TF Lite Converter

Linear Regression From Scratch - Part 3

Optimize Your ML Models - Avoid Underfitting and Overfitting

Python Machine Learning with Scikit Learn - Regression || Python Machine Learning PT.3

Singular Values vs. Eigenvalues : Data Science Basics

[Live Machine Learning Research] Plain Self-Ensembles (I actually DISCOVER SOMETHING) - Part 1

One Neural Network to Rule Them All (and more) | Machine Learning Monthly June 2020

Simple Python GUI Development using {guietta}

MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen

Linear Regression From Scratch - Part 2

Talks # 6: Mani Sarkar: From backend development to machine learning

Data Science Interview (Tips and Tricks) [Ft. Data Science Jay]

Deep Learning Salon by Weights & Biases

Pytorch Neural Style Transfer Tutorial

Live Project-Stock Sentiment Analysis using News Headlines Machine Learning

Exploratory Data Analysis With Pandas || Python Machine Learning PT.1

Singular Value Decomposition : Data Science Basics

Unsupervised Learning | PCA and Clustering | Data Science with Marco

Live- Implementation of End To End Kaggle Machine Learning Project With Deployment

14: Rate Models and Perceptrons - Intro to Neural Computation

Is data science a hype? | Is data science a bubble?

Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)

FREE Machine Learning Crash Course from Google

David Patterson: Computer Architecture and Data Storage | Lex Fridman Podcast #104

Python Regular Expressions, Views vs Copies in Pandas, and More | Real Python Podcast #15

Advanced Facebook Ad Account Structure For eCommerce

1. Artificial Intelligence and Machine Learning

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)

Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6

Scikit-Learn Course - Machine Learning in Python Tutorial

Suppor Vector Machine (SVM) in Python | Data Science with Marco

PyTorch Pruning | How it's Made by Michela Paganini

What is Torchtext?

Linear Regression From Scratch - Part 1

Eigendecomposition : Data Science Basics

Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning

2. Cyber Network Data Processing; AI Data Architecture

Pytorch Tutorial - Setting up a Deep Learning Environment (Anaconda & PyCharm)

Pytorch Transformers for Machine Translation

Deployment Of Machine Learning PIPELINES Using Dockers and Kubernetes

MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel

Matrix Norms : Data Science Basics