📐 ML Fundamentals

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

ML Fundamentals

L8.2 Logistic Regression Loss Function

Sebastian Raschka Beginner 5y ago

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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

MLOps.community Beginner 5y ago

ML Fundamentals

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

Shaw Talebi Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Rendering Volumes and Implicit Shapes in PyTorch3D

PyTorch Beginner 5y ago

ML Fundamentals

SVM Dual : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How would a Data Scientist analyze Customer Churn?

CodeEmporium Beginner 5y ago

ML Fundamentals

GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰

Aladdin Persson Beginner 5y ago

ML Fundamentals

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

codebasics Beginner 5y ago

ML Fundamentals

Is Machine Learning by Andrew Ng on Coursera worth it in 2021? [Course Review]

Aladdin Persson Beginner 5y ago

ML Fundamentals

'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52

MLOps.community Beginner 5y ago

ML Fundamentals

Stochastic Gradient Descent and Deploying Your Python Scripts on the Web | Real Python Podcast #48

Real Python Beginner 5y ago

ML Fundamentals

Daphne Koller — Digital Biology and the Next Epoch of Science

Weights & Biases Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162

Lex Fridman Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

UMAP explained | The best dimensionality reduction?

AI Coffee Break with Letitia Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

2020 PyTorch Summer Hackathon Winners Recap

PyTorch Beginner 5y ago

ML Fundamentals

Javier Ideami on Loss Landscapes and the Flatland Perspective

Weights & Biases Beginner 5y ago

ML Fundamentals

IBM Applied AI Professional Certificate: Gain AI Skills on Coursera

Coursera Beginner 5y ago

ML Fundamentals

Explainable AI explained! | #2 By-design interpretable models with Microsofts InterpretML

DeepFindr Beginner 5y ago

ML Fundamentals

How to get started with Graph ML? (Blog walkthrough)

Aleksa Gordić - The AI Epiphany Beginner 5y ago

ML Fundamentals

An AI software able to detect and count plastic waste in the ocean

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

ML Fundamentals

The Art of Learning Data Science (How to learn data science)

Data Professor Beginner 5y ago

ML Fundamentals

Intel: Machine Learning and the Future of the Data Center w/Intel

The New Stack Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

What is OneAPI? The Software Tool Gap: A Roundtable Discussion

The New Stack Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Join us at TensorFlow Everywhere

TensorFlow Beginner 5y ago

ML Fundamentals

L8.0 Logistic Regression -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Deep Learning News #4, Feb 20 2021

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

EfficientNet from scratch in Pytorch

Aladdin Persson Beginner 5y ago

ML Fundamentals

EfficientNet Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

L7.0 GPU resources & Google Colab

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.5 A Closer Look at the PyTorch API

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.4 Training ADALINE with PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.3 Automatic Differentiation in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.2 Understanding Automatic Differentiation via Computation Graphs

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.1 Learning More About PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L6.0 Automatic Differentiation in PyTorch -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

How to solve Santander Kaggle Transaction Competition [Top 1% Solution, No Ensemble]

Aladdin Persson Beginner 5y ago

ML Fundamentals

L5.8 Adaline Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.7 Training an Adaptive Linear Neuron (Adaline)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.6 Understanding Gradient Descent

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.5 (Optional) Calculus Refresher II: Gradients

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.4 (Optional) Calculus Refresher I: Derivatives

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.3 An Iterative Training Algorithm for Linear Regression

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.2 Relation Between Perceptron and Linear Regression

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.1 Online, Batch, and Minibatch Mode

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L5.0 Gradient Descent -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Piero Molino — The Secret Behind Building Successful Open Source Projects

Weights & Biases Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How to do the Titanic Kaggle Competition

Aladdin Persson Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

How to Build an Enterprise AI Strategy

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Self-paced

Foundations of Machine Learning with Azure

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📚 Coursera Course ↗

Self-paced

Fundamentals of Machine Learning for Healthcare

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📚 Coursera Course ↗

Self-paced

Managing Machine Learning Models

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📚 Coursera Course ↗

Self-paced

Data Science with Python

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📚 Coursera Course ↗

Self-paced

Convolutional Neural Networks

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📚 Coursera Course ↗

Self-paced

Snowflake for Data Science: Intro to Snowpark ML for Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Developing Machine Learning Solutions

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📚 Coursera Course ↗

Self-paced

Learning TensorFlow: the Hello World of Machine Learning

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📚 Coursera Course ↗

Self-paced

Pre-Calculus

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced Data Structures & Algorithms in Practice

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deploy & Optimize ML Services Confidently

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Building iOS Games with SpriteKit - From Zero to Hero

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning for Engineers: Algorithms and Applications

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Chatbots with Keras & NLP: Build & Evaluate

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Harden AI: Secure Your ML Pipelines

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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📚 Coursera Course ↗

Self-paced

Scikit-Learn to Solve Regression Machine Learning Problems

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