ML Fundamentals

Reproducability flaws in end to end Machine Learning debugging

Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali

Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]

Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning

Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning

Backpropagation and the brain

Pytorch DCGAN Tutorial (See description for updated video)

Python Tutorial : Transforming features for better clusterings

Python Tutorial : Unsupervised Learning in Python

Self Driving Cars and Pedestrians

This AI Learned to Summarize Videos 🎥

Pytorch TensorBoard Tutorial

Neural Networks from Scratch - P.2 Coding a Layer

Neural Networks Simply Explained (Theory)

Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye

Sequence Models with Pujaa Rajan

How to Transition into Data Science: from Computer Science to Data Science

Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]

Decoding Logistic Regression - A Simple and Comprehensive Explanation

How deep learning can detect cancerous tissue (AI For Medicine)

Adjacent usecases and multistep feature engineering

Checkpointing, metadata, and confidence in your data

How many models in prod til I need a dedicated ML platform?

More difficult transition for data scientists to become ML engineers

Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning

Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning

Python Tutorial : Logistic regression

Python Tutorial : Introduction to Linear Modeling in Python

Python Tutorial: Basics of cluster analysis

Python Tutorial: Unsupervised learning: basics

Python Tutorial : Fundamentals of AI in Python

Python Tutorial : Three flavors of Machine Learning

Python Tutorial: Reading, inspecting, & cleaning data from csv files

R Tutorial: A first taste of Bayes

Python Tutorial : Constants and variables

Python Tutorial : Advanced operations

R Tutorial: Introduction to feature engineering in R

Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science

Resume driven development in Machine learning & software engineering

Swiss Cheese model in Machine Learning

Learning from real life Machine Learning failures

Current State Of Machine Learning

Scala Tutorial: A scalable language

R Tutorial: Machine Learning with Tree-Based Models | Intro

R Tutorial: Evaluating classification model performance

R Tutorial: Introduction to classification trees

MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali

Automate LifeCycle Of Data Science Projects By Using This Open Source Library