ML Fundamentals

Unsupervised Brain Models - How does Deep Learning inform Neuroscience? (w/ Patrick Mineault)

Reinforcement Learning with Stable Baselines 3 - Introduction (P.1)

Live Day 5- Discussing Adaboost,Random forest, Xgboost Machine Learning Algorithms

Google Ads Tutorials: Fundamentals of conversion modeling in Google Ads

Impressive Python Resume Projects

Live Day 4- Discussing Decision Tree And Ensemble Machine Learning Algorithms

Deep Learning for Podcast Content Search (Summary of Interview with Alex Canan at Zencastr)

Build Free Machine Learning Blog with FastPages - Jupyter Notebook based Data Science Blog

covid is a counterfactual.

Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92

How to Set Up a Machine Learning Environment with Conda and Pip-Tools

Deep Learning Dictionary - Course Introduction

Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // Coffee Sessions #78

El Futuro de la IA en 2022 | Feat. Andrés Torrubia

Implementing ConvNext in Keras & Introduction to Time Series

Kaggle Competitions: A Beginner's Guide to Winning

How to #BeADeepLearner

The Human Element in Machine Learning w Catherine D’Ignazio, Jacob Andreas & Harini Suresh (S3:E5)

ML Frameworks: Gretel.ai

AI Models Guide for Consultants & Product Managers | Hugging Face Tasks

Fireside chat: Opportunities and challenges in human-oriented AI

Demo: Using network machine learning for organizational analytics

The Physics Dropout Who Made $1 Billion Betting Horses

AI vs. Machine Learning vs. Deep Learning - Relationship Overview

Features and Feature Engineering in Machine Learning - An Introduction

Live Day 3- Discussing KNN And Naive Baye's Machine Learning Algorithms

Live Day 2- Discussing Ridge, Lasso And Logistic Regression Machine Learning Algorithms

Live Day 1- Introduction To Machine Learning Algorithms For Data Science

Announcing 7 Days Live Sessions On Machine Learning Algorithms(Feb 1- Feb7th)

Earth In 2050

How To Calculate P Value In Hypothesis Testing

Live Day 7- Summarizing Statistics With Python In Data Science

Live Day 6- Advance Statistics With Python In Data Science

Live Day 5- Advance Statistics With Python In Data Science

MLOps Song

Live Day 4- Advance Statistics With Python In Data Science

Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76

Vision Of OneNeuron Platform- How We Are Solving All Your Problems?

Research talk: Approximate nearest neighbor search systems at scale

Demo: User-centric graph for building intelligence and Meeting Insights

Panel: Computer vision in the next decade: Deeper or broader

Panel: Causal ML Research at Microsoft

Panel: Causal ML at Microsoft

Panel: Challenges and opportunities of causality

Panel: Privacy preserving machine learning

Panel: The future of human-AI collaboration

Panel: Experiments, models, inference and algorithms: Learning from experts who do it all

Live Day 3- Intermediate Statistics With Python In Data Science