ML Fundamentals

MLOps meetup #7 Alex Spanos // TrueLayer 's MLOps Pipeline

Neural Networks from Scratch - P.3 The Dot Product

3rd wave of data scientists

Supervised Contrastive Learning

Intro to Deep Learning -- Student Presentations, Day 1 [Stat453, SS20]

Spam Classifier using Naive Bayes in Python

Naive Bayes from Scratch - Machine Learning Python

Jack Clark — Building Trustworthy AI Systems

MA Model Code Example : Time Series Talk

[Rant] The Male Only History of Deep Learning

Python Tutorial: Fraud detection algorithms in action

Python Tutorial: Introduction to fraud detection

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

How do GPUs speed up Neural Network training?

Self Driving Cars and Pedestrians

This AI Learned to Summarize Videos 🎥

Reproducability flaws in end to end Machine Learning debugging

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

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

Backpropagation and the brain

Pytorch DCGAN Tutorial (See description for updated video)

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

Python Tutorial : Transforming features for better clusterings

Python Tutorial : Unsupervised Learning in Python

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

Shortcut Learning in Deep Neural Networks

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

Who has the highest standards in ML?

Resume driven development in Machine learning & software engineering

Swiss Cheese model in Machine Learning

Survivorship Bias in machine learning tutorials

Learning from real life Machine Learning failures