📐 ML Fundamentals

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

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L9.3.1 Multilayer Perceptron -- Code Example Part 1/3 (Slide Overview)

ML Fundamentals

L9.3.1 Multilayer Perceptron -- Code Example Part 1/3 (Slide Overview)

Sebastian Raschka Beginner 5y ago

L9.2 Nonlinear Activation Functions

ML Fundamentals

L9.2 Nonlinear Activation Functions

Sebastian Raschka Beginner 5y ago

Petroleum Engineer To Data Scientist

ML Fundamentals ⚡ AI Lesson

Petroleum Engineer To Data Scientist

codebasics Beginner 5y ago

Outliers : Data Science Basics

ML Fundamentals

Outliers : Data Science Basics

ritvikmath Beginner 5y ago

Autoencoders in Python with Tensorflow/Keras

ML Fundamentals

Autoencoders in Python with Tensorflow/Keras

sentdex Beginner 5y ago

Monday Night Live Q&A - Ask Anything Related To Data Science

ML Fundamentals

Monday Night Live Q&A - Ask Anything Related To Data Science

Krish Naik Intermediate 5y ago

Metric Learning for Images - Keras Code Examples

ML Fundamentals

Metric Learning for Images - Keras Code Examples

Connor Shorten Intermediate 5y ago

Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation

ML Fundamentals ⚡ AI Lesson

Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation

StatQuest with Josh Starmer Beginner 5y ago

Neural Networks Part 6: Cross Entropy

ML Fundamentals ⚡ AI Lesson

Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer Beginner 5y ago

AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models

ML Fundamentals

AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models

Abhishek Thakur Beginner 5y ago

Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)

ML Fundamentals

Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)

ML Fundamentals ⚡ AI Lesson

Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)

TensorFlow Beginner 5y ago

Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)

ML Fundamentals ⚡ AI Lesson

Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)

TensorFlow Beginner 5y ago

Intro to Git and GitHub : Data Science Code

ML Fundamentals

Intro to Git and GitHub : Data Science Code

ritvikmath Beginner 5y ago

Expert Panel: Optimizing BizOps with AI

ML Fundamentals

Expert Panel: Optimizing BizOps with AI

DeepLearningAI Intermediate 5y ago

NEW TensorFlow Deep Learning Course Release Celebration/QA

ML Fundamentals ⚡ AI Lesson

NEW TensorFlow Deep Learning Course Release Celebration/QA

Daniel Bourke Beginner 5y ago

Weights and Biases Product Overview

ML Fundamentals

Weights and Biases Product Overview

Weights & Biases Beginner 5y ago

Machine learning for drug discovery with insitro's Daphne Koller

ML Fundamentals

Machine learning for drug discovery with insitro's Daphne Koller

Weights & Biases Beginner 5y ago

5 FREE Machine Learning and Data Science Datasets for Your Next Experiment

ML Fundamentals

5 FREE Machine Learning and Data Science Datasets for Your Next Experiment

Nicholas Renotte Beginner 5y ago

A Brief Intro About My Channel If You Are New- Data Science #shorts

ML Fundamentals

A Brief Intro About My Channel If You Are New- Data Science #shorts

Krish Naik Beginner 5y ago

Determined AI Example - CIFAR-10 Hyperparameter Search!

ML Fundamentals

Determined AI Example - CIFAR-10 Hyperparameter Search!

Connor Shorten Beginner 5y ago

Deep Learning With PyTorch - Full Course

ML Fundamentals

Deep Learning With PyTorch - Full Course

Patrick Loeber Beginner 5y ago

How k-nearest neighbors works

ML Fundamentals ⚡ AI Lesson

How k-nearest neighbors works

Brandon Rohrer Beginner 5y ago

Quick Fast Python EDA with Pandas Profiling - Kaggle Dataset Hands-on

ML Fundamentals

Quick Fast Python EDA with Pandas Profiling - Kaggle Dataset Hands-on

1littlecoder Beginner 5y ago

YOLOv3 from Scratch

ML Fundamentals

YOLOv3 from Scratch

Aladdin Persson Advanced 5y ago

MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

ML Fundamentals

MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

MLOps.community Beginner 5y ago

Principal Component Analysis (PCA) | Introduction & Example (Python) Code

ML Fundamentals

Principal Component Analysis (PCA) | Introduction & Example (Python) Code

Shaw Talebi Beginner 5y ago

Rendering Volumes and Implicit Shapes in PyTorch3D

ML Fundamentals ⚡ AI Lesson

Rendering Volumes and Implicit Shapes in PyTorch3D

PyTorch Beginner 5y ago

How would a Data Scientist analyze Customer Churn?

ML Fundamentals ⚡ AI Lesson

How would a Data Scientist analyze Customer Churn?

CodeEmporium Beginner 5y ago

GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰

ML Fundamentals

GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰

Aladdin Persson Beginner 5y ago

L9.1 Multilayer Perceptron Architecture

ML Fundamentals

L9.1 Multilayer Perceptron Architecture

Sebastian Raschka Beginner 5y ago

L9.0 Multilayer Perceptrons -- Lecture Overview

ML Fundamentals

L9.0 Multilayer Perceptrons -- Lecture Overview

Sebastian Raschka Beginner 5y ago

Nhập môn Thị giác máy tính bằng công nghệ học máy (Machine Learning: Zero to Hero, phần 2)

ML Fundamentals ⚡ AI Lesson

Nhập môn Thị giác máy tính bằng công nghệ học máy (Machine Learning: Zero to Hero, phần 2)

TensorFlow Beginner 5y ago

Giới thiệu về công nghệ học máy (Machine Learning: Zero to Hero, phần 1)

ML Fundamentals ⚡ AI Lesson

Giới thiệu về công nghệ học máy (Machine Learning: Zero to Hero, phần 1)

TensorFlow Beginner 5y ago

L8.9 Softmax Regression -- Code Example Using PyTorch

ML Fundamentals

L8.9 Softmax Regression -- Code Example Using PyTorch

Sebastian Raschka Beginner 5y ago

L8.8 Softmax Regression Derivatives for Gradient Descent

ML Fundamentals

L8.8 Softmax Regression Derivatives for Gradient Descent

Sebastian Raschka Beginner 5y ago

L8.7.2 OneHot Encoding and Multi-category Cross Entropy -- Code Example

ML Fundamentals

L8.7.2 OneHot Encoding and Multi-category Cross Entropy -- Code Example

Sebastian Raschka Beginner 5y ago

L8.7.1 OneHot Encoding and Multi-category Cross Entropy

ML Fundamentals

L8.7.1 OneHot Encoding and Multi-category Cross Entropy

Sebastian Raschka Beginner 5y ago

L8.6 Multinomial Logistic Regression / Softmax Regression

ML Fundamentals

L8.6 Multinomial Logistic Regression / Softmax Regression

Sebastian Raschka Beginner 5y ago

SVM Kernels : Data Science Concepts

ML Fundamentals ⚡ AI Lesson

SVM Kernels : Data Science Concepts

ritvikmath Intermediate 5y ago

L8.5 Logistic Regression in PyTorch -- Code Example

ML Fundamentals

L8.5 Logistic Regression in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

L8.4 Logits and Cross Entropy

ML Fundamentals

L8.4 Logits and Cross Entropy

Sebastian Raschka Beginner 5y ago

L8.3 Logistic Regression Loss Derivative and Training

ML Fundamentals

L8.3 Logistic Regression Loss Derivative and Training

Sebastian Raschka Beginner 5y ago

L8.2 Logistic Regression Loss Function

ML Fundamentals

L8.2 Logistic Regression Loss Function

Sebastian Raschka Beginner 5y ago

L8.1 Logistic Regression as a Single-Layer Neural Network

ML Fundamentals

L8.1 Logistic Regression as a Single-Layer Neural Network

Sebastian Raschka Beginner 5y ago

L8.0 Logistic Regression -- Lecture Overview

ML Fundamentals

L8.0 Logistic Regression -- Lecture Overview

Sebastian Raschka Beginner 5y ago

SVM Dual : Data Science Concepts

ML Fundamentals

SVM Dual : Data Science Concepts

ritvikmath Beginner 5y ago

Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)

ML Fundamentals

Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)

codebasics Beginner 5y ago