ML Fundamentals

TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough

Batch normalization

The Softmax neural network layer

Live Q&A For Aspiring Data Scientist-Ask Any Question Regarding Data Science

Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)

6.4 Splitting criteria (L06: Decision Trees)

Non Max Suppression Explained and PyTorch Implementation

TensorFlow Tutorial 07 - Functional API + Multi-output Project

Story of Mel - Computerphile

Time Series Model Selection (AIC & BIC) : Time Series Talk

6.3 Types of decision trees (L06: Decision Trees)

Auto-Tuning Hyperparameters with Optuna and PyTorch

"AI & Machine Learning" Cybersecurity Conversation

Creating an Inclusive Learning Experience

Backwards Design

Intersection over Union Explained and PyTorch Implementation

Best Multi-Armed Bandit Strategy? (feat: UCB Method)

Complete Roadmap To Follow To Prepare Machine Learning With All Videos And Materials

Getting started with Jetson Nano 2GB Developer Kit

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

Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

Interrupt handling

MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey

Most underrated topics regarding deploying ML models in production?

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

Can social impact survive the crisis?

Reputation Symposium Series 2020 – Covid-19 and Geopolitics

The Knapsack Problem & Genetic Algorithms - Computerphile

Announcing Discord Server For Codebasics

My GDE journey - Akshay Bahadur

Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

Pedagogy Principles

TensorFlow Tutorial 06 - Save & Load Models

6.2 Recursive algorithms & Big-O (L06: Decision Trees)

6.1 Intro to Decision Trees (L06: Decision Trees)

Introduction to Object Detection in Deep Learning

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥

Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation

Solar Lighting Example, Exploring Fairness in Machine Learning

Fairness Criteria, Exploring Fairness in Machine Learning

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

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)

5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)

TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)

Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold