📐 ML Fundamentals

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

ML Fundamentals

Learning State Representations with Yael Niv - #92

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Setting up a Development Environment)

Tensor Programming Beginner 8y ago

ML Fundamentals

Rustlang Project: CLI Toy Blockchain

Tensor Programming Intermediate 8y ago

ML Fundamentals

Mapping Keras labels to image classes

deeplizard Beginner 8y ago

ML Fundamentals

Geometric Deep Learning with Joan Bruna & Michael Bronstein - #90

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Regresión Lineal y Mínimos Cuadrados Ordinarios | DotCSV

Dot CSV Beginner 8y ago

ML Fundamentals

Interacting with our Chatbot - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.9

sentdex Beginner 8y ago

ML Fundamentals

The case against Net Neutrality?

Ben Eater Beginner 8y ago

ML Fundamentals

Mercedes Benz Machine Learning Research

Data Skeptic Beginner 8y ago

ML Fundamentals

Educational Technology: Crash Course Computer Science #39

CrashCourse Beginner 8y ago

ML Fundamentals

AI Beats Radiologists at Pneumonia Detection | Two Minute Papers #214

Two Minute Papers Advanced 8y ago

ML Fundamentals

Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

Lex Fridman Beginner 8y ago

ML Fundamentals

#5 Limit orders as makers | Trading on Coinbase Pro - GDAX

deeplizard Beginner 8y ago

ML Fundamentals

Matplotlib Tutorial 6 - Pie Chart

codebasics Beginner 8y ago

ML Fundamentals

Matplotlib Tutorial 5 - Histograms

codebasics Beginner 8y ago

ML Fundamentals

To Film School or Not To Film School: Crash Course Film Production with Lily Gladstone #14

CrashCourse Beginner 8y ago

ML Fundamentals

This Neural Network Optimizes Itself | Two Minute Papers #212

Two Minute Papers Advanced 8y ago

ML Fundamentals

Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

Lex Fridman Beginner 8y ago

ML Fundamentals

The Anonymisation Problem - Computerphile

Computerphile Beginner 8y ago

ML Fundamentals

Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7

sentdex Beginner 8y ago

ML Fundamentals

Rustlang Project: Chat Application

Tensor Programming Intermediate 8y ago

ML Fundamentals

Intro to Rust-lang (Tests, Attributes, Configuration and Conditional compilation)

Tensor Programming Beginner 8y ago

ML Fundamentals

Integrative Learning for Robotic Systems with Aaron Ames - #87

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Visual Recognition in the Cloud for Law Enforcement with Chris Adzima - #86

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Embodied Visual Learning with Kristen Grauman - #85

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Concurrency, Threads, Channels, Mutex and Arc)

Tensor Programming Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Error Handling)

Tensor Programming Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Macros and Metaprogramming)

Tensor Programming Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Modules and Lifetimes)

Tensor Programming Beginner 8y ago

ML Fundamentals

re:Invent Roundup Roundtable - #83

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

Intro to Rust-lang (Closures, the Box Pointer and Iterators)

Tensor Programming Beginner 8y ago

ML Fundamentals

Intro to Rustlang (Traits and Generic Types)

Tensor Programming Beginner 8y ago

ML Fundamentals

Convolutional Neural Networks (CNNs) explained

deeplizard Beginner 8y ago

ML Fundamentals

Block-Sparse Kernels for Deep Neural Networks with Durk Kingma - #80

The TWIML AI Podcast with Sam Charrington Intermediate 8y ago

ML Fundamentals

Scaling AI for the Enterprise with Mazin Gilbert - #78

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Matplotlib Tutorial 4 - Bar Chart

codebasics Beginner 8y ago

ML Fundamentals

Intro to Rustlang (Vectors, HashMaps, Casting, If-Let, While-Let, and the Result Enum)

Tensor Programming Beginner 8y ago

ML Fundamentals

Scaleable Distributed Deep Learning with Hillery Hunter - #77

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Towards Artificial General Intelligence with Greg Brockman - #74

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Experimental Creative Writing with the Vectorized Word, w/ Allison Parrish - #72

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

#4 Limit orders as takers | Trading on Coinbase Pro - GDAX

deeplizard Beginner 8y ago

ML Fundamentals

How Do Neural Networks See The World? Pt 2. | Two Minute Papers #211

Two Minute Papers Advanced 8y ago

ML Fundamentals

Matplotlib Tutorial 3 - Axes labels, Legend, Grid

codebasics Beginner 8y ago

ML Fundamentals

Matplotlib Tutorial 2 - format strings in plot function

codebasics Beginner 8y ago

ML Fundamentals

Semi-supervised Learning explained

deeplizard Beginner 8y ago

ML Fundamentals

Intro to RustLang (Enums and Options)

Tensor Programming Beginner 8y ago

ML Fundamentals

Matplotlib Tutorial 1 - Introduction and Installation

codebasics Beginner 8y ago

ML Fundamentals

Unsupervised Learning explained

deeplizard Beginner 8y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Reinforcement Learning for Trading Strategies

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Master Java Build Tools for ML Projects

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deep Learning Essentials

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Scalable Machine Learning on Big Data using Apache Spark

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

ML Pipelines on Google Cloud - Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

DevOps, DataOps, MLOps

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Calculus: Single Variable Part 1 - Functions

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS: Machine Learning & MLOps Foundations

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Object Localization with TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics 102 - Magnetic Fields and Faraday's Law

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Embedded Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Calculus through Data & Modeling: Precalculus Review

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

The Finite Element Method for Problems in Physics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Cloud Machine Learning Engineering and MLOps

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Essential Linear Algebra for Data Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Algebra: Elementary to Advanced - Polynomials and Roots

Opens on Coursera ↗