ML Fundamentals

L8.7.2 OneHot Encoding and Multi-category Cross Entropy -- Code Example

L8.7.1 OneHot Encoding and Multi-category Cross Entropy

5 FREE Machine Learning and Data Science Datasets for Your Next Experiment

A Brief Intro About My Channel If You Are New- Data Science #shorts

SVM Kernels : Data Science Concepts

Determined AI Example - CIFAR-10 Hyperparameter Search!

Deep Learning With PyTorch - Full Course

How k-nearest neighbors works

Quick Fast Python EDA with Pandas Profiling - Kaggle Dataset Hands-on

YOLOv3 from Scratch

MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

Principal Component Analysis (PCA) | Introduction & Example (Python) Code

Rendering Volumes and Implicit Shapes in PyTorch3D

SVM Dual : Data Science Concepts

How would a Data Scientist analyze Customer Churn?

GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰

Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)

Chacha Cipher - Computerphile

'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52

Stochastic Gradient Descent and Deploying Your Python Scripts on the Web | Real Python Podcast #48

Daphne Koller — Digital Biology and the Next Epoch of Science

Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162

UMAP explained | The best dimensionality reduction?

PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network

2020 PyTorch Summer Hackathon Winners Recap

Javier Ideami on Loss Landscape Visualizations - W&B Salon

IBM Applied AI Professional Certificate: Gain AI Skills on Coursera

Explainable AI explained! | #2 By-design interpretable models with Microsofts InterpretML

How to get started with Graph ML? (Blog walkthrough)

How capital markets can take sustainability to the next level

L8.6 Multinomial Logistic Regression / Softmax Regression

L8.5 Logistic Regression in PyTorch -- Code Example

L8.4 Logits and Cross Entropy

L8.3 Logistic Regression Loss Derivative and Training

L8.2 Logistic Regression Loss Function

L8.1 Logistic Regression as a Single-Layer Neural Network

L8.0 Logistic Regression -- Lecture Overview

Deep Learning News #4, Feb 20 2021

Is Machine Learning by Andrew Ng on Coursera worth it in 2021? [Course Review]

EfficientNet from scratch in Pytorch

EfficientNet Paper Walkthrough

L7.0 GPU resources & Google Colab

Code With Me : Gibbs Sampling

Javier Ideami on Loss Landscapes and the Flatland Perspective

L6.5 A Closer Look at the PyTorch API

L6.4 Training ADALINE with PyTorch -- Code Example

L6.3 Automatic Differentiation in PyTorch -- Code Example

L6.2 Understanding Automatic Differentiation via Computation Graphs