ML Fundamentals

Calculus for ML - How much you should know to get started

Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API

Part 4- Developing UI To Select User image and displaying it in an Android app

Machine Learning Explained in 100 Seconds

W&B Fastbook Reading Group — 14. ResNet

Most parameters should be passed as keyword arguments

DeepMind x UCL RL Lecture Series - Function Approximation [7/13]

PyTorch Community Voices | Catalyst| Sergey Kolesnikov

W&B Tables: Explore Language Data

Don't use .values when passing a pandas object to scikit-learn

Part 2- Creating and Running a Hello World app in Android Studio

Running Simulations as a Data Scientist | Monte Carlo

Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning

dabl - A Python library for AutoEDA and AutoML

Data Science Podcast with Tyler Richards (Facebook Data Scientist)

How Machine Learning uses Linear Algebra to solve data problems

Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale

Splitting Datasets in Python With scikit-learn and train_test_split()

This AI Helps Making A Music Video! 💃

Building and deploying your first machine learning app in Python using Gradio

Reading the first 42 pages of my first novel (Charlie Walks) out loud

Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE

Machine Learning Course for Beginners

Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215

Channel update: reflecting on why I make videos and thoughts on future videos

Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)

Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts

PyTorch Community Voices | PennyLane | Tom & Josh

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101

Introduction to Statistics | 365 Data Science Courses

PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch

Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place

Working through "What is torch.nn really?"

What is Cloud Computing In Layman Terms

Deploy Weights & Biases On-prem with Terraform Cloud

W&B Fastbook Reading Group — 13. Our first CNNs from scratch

How Would I Learn Data Science If I Want To Start Over?

Add feature selection to a Pipeline

PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch

Gartner Hype Cycle Of Emerging Technologies 2021 Is Out

W&B Fastbook Reading Group — 12. What is a convolution, really?

Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)

Use AUC to evaluate multiclass problems

Building a Simple Digits Image Classification Model

Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend

Shuffle your dataset when using cross_val_score

Deep learning project end to end | Potato Disease Classification - 3 : Model Building