📐 ML Fundamentals

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

ML Fundamentals

Code With Me : Logistic Regression (from scratch) !

ritvikmath Intermediate 5y ago

ML Fundamentals

[AI Access] Applied Analytics from End-to-End

DeepLearningAI Intermediate 5y ago

ML Fundamentals

L10.5.4 Dropout in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L10.5.3 (Optional) Dropout Ensemble Interpretation

Sebastian Raschka Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Building World-Class NLP Models with Transformers and Hugging Face | Grandmaster Series E4

NVIDIA Developer Advanced 5y ago

ML Fundamentals ⚡ AI Lesson

Pix2Pix implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems

Microsoft Research Advanced 5y ago

ML Fundamentals

AI and Gaming Research Summit 2021 - Understanding Players (Day 2 Track 1.2)

Microsoft Research Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Expectations with Machine Learning

CodeEmporium Beginner 5y ago

ML Fundamentals

PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial

Patrick Loeber Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How (and why) you should undervolt your GPU - A step by step guide (Deep Learning/Gaming/Mining)

Aladdin Persson Beginner 5y ago

ML Fundamentals

Level up your software engineering skills as a data scientist | ML Monthly February 2021

Daniel Bourke Beginner 5y ago

ML Fundamentals

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Machine Learning Frameworks - The Landscape

Roboflow Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How to Learn DATA SCIENCE Ridiculously FAST

Nicholas Renotte Beginner 5y ago

ML Fundamentals

Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]

TechWorld with Nana Beginner 5y ago

ML Fundamentals

PIE & AI Kigali – Building a Career in Data Science: From Learning to Landing a Job

Deep Learning Revision Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media | Lex Fridman Podcast #166

Lex Fridman Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Intro to Deep Learning (ML Tech Talks)

TensorFlow Beginner 5y ago

ML Fundamentals

Does anyone know of a good way to manage dependencies? // MLOps Coffee Sessions #31 Part 2 Clip

MLOps.community Beginner 5y ago

ML Fundamentals

Live AWS For Data Science - Deploying Machine Learning Application In EC2 Instance

Krish Naik Intermediate 5y ago

ML Fundamentals

Radial Basis Function Kernel : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

Amazing Data Science End To End Project From Starters In ML and Deep Learning- Agriculture Domain

Krish Naik Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Petroleum Engineer To Data Scientist

codebasics Beginner 5y ago

ML Fundamentals

Autoencoders in Python with Tensorflow/Keras

sentdex Beginner 5y ago

ML Fundamentals

Metric Learning for Images - Keras Code Examples

Connor Shorten Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models

Abhishek Thakur Beginner 5y ago

ML Fundamentals

L10.5.2 Dropout Co-Adaptation Interpretation

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

L10.5.1 The Main Concept Behind Dropout

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

L10.4 L2 Regularization for Neural Nets

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L10.3 Early Stopping

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

L10.2 Data Augmentation in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L10.1 Techniques for Reducing Overfitting

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

L10.0 Regularization Methods for Neural Networks -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.5.2 Custom DataLoaders in PyTorch --Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.5.1 Cats & Dogs and Custom Data Loaders

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.4 Overfitting and Underfitting

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Pix2Pix Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

L9.3.3 Multilayer Perceptron in PyTorch -- Code Example Part 3/3 (Script Setup)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.3.2 Multilayer Perceptron in PyTorch -- Code Example Part 2/3 (Jupyter Notebook)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.3.1 Multilayer Perceptron -- Code Example Part 1/3 (Slide Overview)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.2 Nonlinear Activation Functions

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.1 Multilayer Perceptron Architecture

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.0 Multilayer Perceptrons -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Outliers : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

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

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer Beginner 5y ago

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Microsoft Azure Machine Learning for Data Scientists

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Health Data Science Foundation

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Deep Learning with Keras and Practical Applications

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BigQuery Machine Learning using Soccer Data

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Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

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Advanced PyTorch Techniques and Applications

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AI Infrastructure: Cloud TPUs

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Introduction to On-Device AI

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Project on Recommendation Engine - Advanced Book Recommender

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Abstracting with Functions

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Introduction to Creative AI

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Production Machine Learning Systems

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Fundamentals of AWS AI and ML Solutions

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Analytic Combinatorics

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Foundational Mathematics for AI

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Traverse Trees for ML with DFS & BFS

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Machine Learning and its Applications

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Deploy and Scale AI Models with Cloud Run

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