📐 ML Fundamentals

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.7.1 OneHot Encoding and Multi-category Cross Entropy

Sebastian Raschka Beginner 5y ago

ML Fundamentals

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

Nicholas Renotte Beginner 5y ago

ML Fundamentals

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

Krish Naik Beginner 5y ago

ML Fundamentals

Determined AI Example - CIFAR-10 Hyperparameter Search!

Connor Shorten Beginner 5y ago

ML Fundamentals

Deep Learning With PyTorch - Full Course

Patrick Loeber Beginner 5y ago

ML Fundamentals

How k-nearest neighbors works

Brandon Rohrer Beginner 5y ago

ML Fundamentals

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

1littlecoder Beginner 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

Rendering Volumes and Implicit Shapes in PyTorch3D

PyTorch Beginner 5y ago

ML Fundamentals

SVM Dual : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

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

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

Lex Fridman Beginner 5y ago

ML Fundamentals

UMAP explained | The best dimensionality reduction?

AI Coffee Break with Letitia Beginner 5y ago

ML Fundamentals

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

L8.6 Multinomial Logistic Regression / Softmax Regression

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.5 Logistic Regression in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.4 Logits and Cross Entropy

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.3 Logistic Regression Loss Derivative and Training

Sebastian Raschka Beginner 5y ago

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

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

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

📚 Coursera Courses Opens on Coursera · Free to audit

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Deep Learning, NLP, and AI Applications

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Mathematics for Machine Learning: Linear Algebra

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Self-paced

Building a Machine Learning Solution

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Self-paced

Motion Planning for Self-Driving Cars

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Evaluate Vision Errors: Identify Failure Patterns

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📚 Coursera Course ↗

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Building, Evaluating, and Operationalizing ML Models

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Optimizing and Deploying Computer Vision Models

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📚 Coursera Course ↗

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Fundamentals of Machine Learning for Healthcare

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Calculus through Data & Modelling: Integration Applications

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Machine Learning: an overview

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📚 Coursera Course ↗

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Deep Learning with PyTorch : Siamese Network

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📚 Coursera Course ↗

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ML Parameters Optimization: GridSearch, Bayesian, Random

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📚 Coursera Course ↗

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Implantação e escalonamento de modelos de IA com o Cloud Run

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📚 Coursera Course ↗

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Clinical Decision Support Systems - CDSS 4

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📚 Coursera Course ↗

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Build & Optimize TensorFlow ML Workflows

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Data Science with Python: Analyze & Visualize

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📚 Coursera Course ↗

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Physics 102 - Magnetic Fields and Faraday's Law

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📚 Coursera Course ↗

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AI Capstone Project with Deep Learning

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