📐 ML Fundamentals

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.0 Logistic Regression -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

YOLOv3 from Scratch

Aladdin Persson Advanced 5y ago

ML Fundamentals

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

'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

PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

2020 PyTorch Summer Hackathon Winners Recap

PyTorch Beginner 5y ago

ML Fundamentals

Code With Me : Gibbs Sampling

ritvikmath Advanced 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

Session On Different Types Of Loss Function In Deep Learning

Krish Naik Intermediate 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

Deep Learning News #4, Feb 20 2021

Sebastian Raschka 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 ⚡ 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

Coding MCMC : Data Science Code

ritvikmath Intermediate 5y ago

ML Fundamentals

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

Aladdin Persson Beginner 5y ago

ML Fundamentals

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

Krish Naik Intermediate 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

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Introduction to AI and Machine Learning

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Geometric Algorithms

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📚 Coursera Course ↗

Self-paced

AI-900 - Azure AI Fundamentals and Two Practice Tests

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📚 Coursera Course ↗

Self-paced

Deep Learning for Real Estate Price Prediction

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📚 Coursera Course ↗

Self-paced

Building Regression Models with Linear Algebra

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📚 Coursera Course ↗

Self-paced

Digital Signal Processing 4: Applications

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📚 Coursera Course ↗

Self-paced

Build Better Generative Adversarial Networks (GANs)

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📚 Coursera Course ↗

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Foundations of AI Engineering

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📚 Coursera Course ↗

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Smart Analytics, Machine Learning, and AI on GCP en Español

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📚 Coursera Course ↗

Self-paced

Build Regression, Classification, and Clustering Models

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📚 Coursera Course ↗

Self-paced

Building Resilient Streaming Systems on GCP em Português Brasileiro

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📚 Coursera Course ↗

Self-paced

Python: Implement & Evaluate Random Forests for ML

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📚 Coursera Course ↗

Self-paced

Medical Image Processing

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📚 Coursera Course ↗

Self-paced

Neural Networks and Deep Learning

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📚 Coursera Course ↗

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Four Rare Machine Learning Skills All Data Scientists Need

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📚 Coursera Course ↗

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Advanced Methods in Machine Learning Applications

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📚 Coursera Course ↗

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Integral Calculus & The Fundamental Theorem

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📚 Coursera Course ↗

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Fundamentals of AI, Machine Learning, and Python Programming

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