ML Fundamentals

Pillars 1 & 2: Are We Close to a Deal? Other Views

Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments

Adrien Treuille — Building Blazingly Fast Tools That People Love

Intelligent AI Chatbot in Python

Collaborative Filtering : Data Science Concepts

NVAITC Webinar: Multi-GPU Training using Horovod

Soft Margin SVM : Data Science Concepts

Investing in Procurement Builds Resilience

TorchAudio | PyTorch Developer Day 2020

Complex Numbers in PyTorch | PyTorch Developer Day 2020

Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection

🏺 Version Control Data and Models with W&B Artifacts

Ineuron's Detailed Course Content Discussion Of ML And DL- Affordable AI Education

Let's Build a Language Translator! LIVE

Karla Spuldaro - Building AI Pipelines with Elyra | JupyterCon 2020

Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020

#TWIMLfest: So You Want to Teach an AI/ML Course?

How to Build a World-Class ML Model for Melanoma Detection | Grandmaster Series E1

10. Application of Machine Learning to Cardiac Imaging

What skills should you learn outside of machine learning? | Ask me anything! (live)

Fairness Criteria, Exploring Fairness in Machine Learning

MLOps Meetup #35 // Bring Your On-Prem ML Use Cases to Production on Google Cloud using Kubeflow

Rate of change of Area per second (2.3 #83)

Building A Camera Classifier in Python

SVM (The Math) : Data Science Concepts

AdaBoost : Data Science Concepts

TFIDF : Data Science Concepts

Charles Frye on using machine learning to multiply by one

⚡ Supercharge your Training with PyTorch Lightning + Weights & Biases

Late Night Talks-Live Q&A-Ask Anything Related Data Science

Saturday Live Q&A Ask Anything Related Data Science

Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers

Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions

Schedule Python Tasks (in Windows) : Data Science Code

Aleksa Milosevic on how to make your NLP app fast without hurting accuracy

Random Forests : Data Science Concepts

Tutorial 2- Installing Julia And Running In Jupyter Notebook

TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App

Cross Validation : Data Science Concepts

How to Prepare For Deep Learning Interviews- Important Interview Questions in ANN-Part 1🔥🔥🔥🔥

Live - Understanding About GPU's- CPU VS GPU- Which GPU We Should Buy?

Xgboost Classification Indepth Maths Intuition- Machine Learning Algorithms🔥🔥🔥🔥

Auto-Tuning Hyperparameters with Optuna and PyTorch

Complete Road Map To Prepare For Deep Learning🔥🔥🔥🔥

Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

Interview Prep Day 4-How To Learn Machine Learning Algorithms For Interviews- Decision Trees🔥🔥

Multi-Armed Bandit : Data Science Concepts

Interview Prep Day 1-How To Learn Machine Learning Algorithms For Interviews- Naive Bayes Classifier