📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Dive into Deep Learning (Study Group): Modern CNNs | Session 7

ML Fundamentals

Dive into Deep Learning (Study Group): Modern CNNs | Session 7

Elvis Saravia Beginner 5y ago

Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries 🔥🔥🔥🔥

ML Fundamentals

Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries 🔥🔥🔥🔥

Krish Naik Beginner 5y ago

DeepFakes in 5 minutes | Understand how deepfakes work and create your own!

ML Fundamentals

DeepFakes in 5 minutes | Understand how deepfakes work and create your own!

What's AI by Louis-François Bouchard Beginner 5y ago

Mean Average Precision (mAP) Explained and PyTorch Implementation

ML Fundamentals

Mean Average Precision (mAP) Explained and PyTorch Implementation

Aladdin Persson Beginner 5y ago

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

ML Fundamentals

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

Patrick Loeber Beginner 5y ago

Batch normalization

ML Fundamentals

Batch normalization

Brandon Rohrer Beginner 5y ago

The Softmax neural network layer

ML Fundamentals

The Softmax neural network layer

Brandon Rohrer Intermediate 5y ago

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

ML Fundamentals

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

Krish Naik Intermediate 5y ago

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

ML Fundamentals

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

codebasics Beginner 5y ago

6.4 Splitting criteria (L06: Decision Trees)

ML Fundamentals

6.4 Splitting criteria (L06: Decision Trees)

Sebastian Raschka Intermediate 5y ago

Non Max Suppression Explained and PyTorch Implementation

ML Fundamentals

Non Max Suppression Explained and PyTorch Implementation

Aladdin Persson Beginner 5y ago

TensorFlow Tutorial 07 - Functional API + Multi-output Project

ML Fundamentals

TensorFlow Tutorial 07 - Functional API + Multi-output Project

Patrick Loeber Beginner 5y ago

Story of Mel - Computerphile

ML Fundamentals

Story of Mel - Computerphile

Computerphile Intermediate 5y ago

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

ML Fundamentals

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

ritvikmath Intermediate 5y ago

6.3 Types of decision trees (L06: Decision Trees)

ML Fundamentals

6.3 Types of decision trees (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

Auto-Tuning Hyperparameters with Optuna and PyTorch

ML Fundamentals

Auto-Tuning Hyperparameters with Optuna and PyTorch

PyTorch Intermediate 5y ago

"AI & Machine Learning" Cybersecurity Conversation

ML Fundamentals

"AI & Machine Learning" Cybersecurity Conversation

John Hammond Beginner 5y ago

Creating an Inclusive Learning Experience

ML Fundamentals

Creating an Inclusive Learning Experience

Coursera Intermediate 5y ago

Backwards Design

ML Fundamentals

Backwards Design

Coursera Beginner 5y ago

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

ML Fundamentals

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

ritvikmath Beginner 5y ago

Getting started with Jetson Nano 2GB Developer Kit

ML Fundamentals

Getting started with Jetson Nano 2GB Developer Kit

NVIDIA Developer Beginner 5y ago

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

ML Fundamentals

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

Daniel Bourke Intermediate 5y ago

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

ML Fundamentals

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

DeepFindr Beginner 5y ago

Interrupt handling

ML Fundamentals

Interrupt handling

Ben Eater Intermediate 5y ago

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

ML Fundamentals

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

MLOps.community Beginner 5y ago

Most underrated topics regarding deploying ML models in production?

ML Fundamentals

Most underrated topics regarding deploying ML models in production?

MLOps.community Beginner 5y ago

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

ML Fundamentals

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

MIT OpenCourseWare Beginner 5y ago

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

ML Fundamentals

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

Can social impact survive the crisis?

ML Fundamentals

Can social impact survive the crisis?

Saïd Business School, University of Oxford Advanced 5y ago

Reputation Symposium Series 2020 – Covid-19 and Geopolitics

ML Fundamentals

Reputation Symposium Series 2020 – Covid-19 and Geopolitics

Saïd Business School, University of Oxford Intermediate 5y ago

The Knapsack Problem & Genetic Algorithms - Computerphile

ML Fundamentals

The Knapsack Problem & Genetic Algorithms - Computerphile

Computerphile Intermediate 5y ago

Announcing Discord Server For Codebasics

ML Fundamentals

Announcing Discord Server For Codebasics

codebasics Beginner 5y ago

Pedagogy Principles

ML Fundamentals

Pedagogy Principles

Coursera Beginner 5y ago

Intersection over Union Explained and PyTorch Implementation

ML Fundamentals

Intersection over Union Explained and PyTorch Implementation

Aladdin Persson Beginner 5y ago

TensorFlow Tutorial 06 - Save & Load Models

ML Fundamentals

TensorFlow Tutorial 06 - Save & Load Models

Patrick Loeber Beginner 5y ago

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

ML Fundamentals

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

Krish Naik Intermediate 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

6.1 Intro to Decision Trees (L06: Decision Trees)

ML Fundamentals

6.1 Intro to Decision Trees (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

Introduction to Object Detection in Deep Learning

ML Fundamentals

Introduction to Object Detection in Deep Learning

Aladdin Persson Beginner 5y ago

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

ML Fundamentals

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

Patrick Loeber Beginner 5y ago

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

ML Fundamentals

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

Krish Naik Beginner 5y ago

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

ML Fundamentals

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

Krish Naik Beginner 5y ago

Solar Lighting Example, Exploring Fairness in Machine Learning

ML Fundamentals

Solar Lighting Example, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

Fairness Criteria, Exploring Fairness in Machine Learning

ML Fundamentals

Fairness Criteria, Exploring Fairness in Machine Learning

MIT OpenCourseWare Intermediate 5y ago

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

ML Fundamentals

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

Krish Naik Intermediate 5y ago

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

ML Fundamentals

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

Patrick Loeber Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago