📐 ML Fundamentals

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

ML Fundamentals

L3.5 Feynman Calculus: Divergency

MIT OpenCourseWare Beginner 4y ago

ML Fundamentals

L3.2 Feynman Calculus: Fermi's Golden Rule

MIT OpenCourseWare Beginner 4y ago

ML Fundamentals

Building AI models for healthcare (ML Tech Talks)

TensorFlow Beginner 4y ago

ML Fundamentals

HistGradientBoostingClassifier natively supports missing values

Data School Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 2. DL Models in Production & Validation Sets

Weights & Biases Beginner 4y ago

ML Fundamentals

SGT Model Deployment Working Group June 22, 2021 Meeting

MLOps.community Beginner 4y ago

ML Fundamentals

Examine the intermediate steps in a Pipeline

Data School Beginner 4y ago

ML Fundamentals

Expected Values for Continuous Variables!!!

StatQuest with Josh Starmer Beginner 4y ago

ML Fundamentals

Sign Language Detection using ACTION RECOGNITION with Python | LSTM Deep Learning Model

Nicholas Renotte Beginner 4y ago

ML Fundamentals

An Overview of the PyTorch Mobile Demo Apps

PyTorch Beginner 4y ago

ML Fundamentals

Data Scientist vs. Machine Learning Engineer

DeepLearningAI Beginner 4y ago

ML Fundamentals

Intro to graph neural networks (ML Tech Talks)

TensorFlow Beginner 4y ago

ML Fundamentals

Matthew Davis — Bringing Genetic Insights to Everyone

Weights & Biases Beginner 4y ago

ML Fundamentals

Azure AI Fundamentals Certification (AI-900) - Full Course to PASS the Exam

freeCodeCamp.org Beginner 4y ago

ML Fundamentals

Twitch Affecting Felipe's Career // Felipe Campos Penha// Meetup #63 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

Video tutorial demonstrating SOLOIST: building task bots at scale

Microsoft Research Beginner 4y ago

ML Fundamentals

9. Understanding torch.nn

Abhishek Thakur Beginner 4y ago

ML Fundamentals

The Jacobian : Data Science Basics

ritvikmath Beginner 4y ago

ML Fundamentals

8. Training and validation loops in PyTorch

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)

codebasics Beginner 4y ago

ML Fundamentals

Machine Learning Explainability & Bias Detection with Watson OpenScale

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Should You Learn Machine Learning?

Tech With Tim Beginner 4y ago

ML Fundamentals

Do We Need Deep Learning in Time Series

Data Skeptic Beginner 4y ago

ML Fundamentals

Coursera Conference Highlight: Mastering For-Credit Online Learning

Coursera Beginner 4y ago

ML Fundamentals

Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)

codebasics Beginner 4y ago

ML Fundamentals

10 Deep Learning Projects (Beginner & Advanced)

Patrick Loeber Beginner 4y ago

ML Fundamentals

Non-Parametric Transformers | Paper explained

Aleksa Gordić - The AI Epiphany Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | TorchIO | Fernando Pérez-García

PyTorch Beginner 4y ago

ML Fundamentals

Bayesian Time Series : Time Series Talk

ritvikmath Beginner 4y ago

ML Fundamentals

If Machine Learning models were people

CodeEmporium Beginner 4y ago

ML Fundamentals

Neural Networks from Scratch - P.8 Implementing Loss

sentdex Beginner 4y ago

ML Fundamentals

Detecting Facial Keypoints with Deep Learning | a very simple top 5 kaggle solution

Aladdin Persson Beginner 4y ago

ML Fundamentals

What Is Machine Learning? (Explained in 5 Minutes)

365 Data Science Beginner 4y ago

ML Fundamentals

Which Machine Learning model should I use? #shorts

CodeEmporium Beginner 4y ago

ML Fundamentals

L3.3 Feynman Calculus: Toy Theory

MIT OpenCourseWare Beginner 4y ago

ML Fundamentals

L3.1 Feynman Calculus: Introduction

MIT OpenCourseWare Beginner 4y ago

ML Fundamentals

fast.ai's Jeremy Howard on Why Python is not the future of machine learning - Gradient Dissent Clip

Weights & Biases Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 1. Your Deep Learning Journey

Weights & Biases Beginner 4y ago

ML Fundamentals

Building an ML Platform from Scratch: Live Coding Session // Alon Gubkin // MLOps Meetup #67

MLOps.community Beginner 4y ago

ML Fundamentals

Being Focused on the Business Problems // Luigi Patruno // MLOps Coffee Sessions #36 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

A friendly introduction to linear algebra for ML (ML Tech Talks)

TensorFlow Beginner 4y ago

ML Fundamentals

Exploratory Data Analysis with the Binance API using Python and Pandas | MLTrader EP1

Nicholas Renotte Beginner 4y ago

ML Fundamentals

What are microfluidic devices? — Polly Fordyce

Weights & Biases Beginner 4y ago

ML Fundamentals

TensorFlow from the ground up (ML Tech Talks)

TensorFlow Beginner 4y ago

ML Fundamentals

Machine Learning with 10 Data Points - Or an Intro to PyMC3

ritvikmath Beginner 4y ago

ML Fundamentals

Practical MLOps Part 2 // Alfredo Deza // MLOps Meetup #66

MLOps.community Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 0. Introduction with Jeremy Howard

Weights & Biases Beginner 4y ago

ML Fundamentals

Wojciech Zaremba — What Could Make AI Conscious?

Weights & Biases Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

The Ultimate Hands-On Hadoop

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Advanced Deployment Scenarios with TensorFlow

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Self-paced

Programming Generative AI: Unit 1

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Self-paced

Mastering Neural Networks and Model Regularization

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Self-paced

Building, Evaluating, and Operationalizing ML Models

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Self-paced

Become AI-Ready: Deep Learning Fundamentals

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Self-paced

Coding with Generative AI

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Self-paced

Deep learning in Electronic Health Records - CDSS 2

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Practical Machine Learning without Coding

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Natural Language Processing with Attention Models

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Self-paced

Deep Learning with PyTorch : Generative Adversarial Network

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Self-paced

Deep Learning with ANN in Python: Build & Optimize

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Self-paced

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

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Deep Learning: Del Concepto a la Práctica

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Self-paced

Introduction to Long Short Term Memory (LSTM) Training

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Self-paced

Generative AI: Foundations and Concepts

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Self-paced

Mastering Python for Data Science

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Self-paced

Cyber Security: Application of AI

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