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📐 ML Fundamentals

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

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Me he CAPTURADO en 3D... ¡DENTRO de una Red Neuronal! (y tú también puedes 👀)
ML Fundamentals
Me he CAPTURADO en 3D... ¡DENTRO de una Red Neuronal! (y tú también puedes 👀)
Dot CSV Beginner 5y ago
Oxford Africa Business Alliance Student Webinar: Oxford MBA
ML Fundamentals
Oxford Africa Business Alliance Student Webinar: Oxford MBA
Saïd Business School, University of Oxford Intermediate 5y ago
Coding SVM Kernels : Data Science Code
ML Fundamentals ⚡ AI Lesson
Coding SVM Kernels : Data Science Code
ritvikmath Intermediate 5y ago
How you SHOULD code Machine Learning
ML Fundamentals ⚡ AI Lesson
How you SHOULD code Machine Learning
CodeEmporium Beginner 5y ago
Artificial intelligence Or Machine Learning #Shorts
ML Fundamentals
Artificial intelligence Or Machine Learning #Shorts
Manish Sharma Beginner 5y ago
Will AI replace network engineers?
ML Fundamentals
Will AI replace network engineers?
David Bombal Beginner 5y ago
Convolutional Autoencoder for Image Denoising - Keras Code Examples
ML Fundamentals
Convolutional Autoencoder for Image Denoising - Keras Code Examples
Connor Shorten Beginner 5y ago
Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
ML Fundamentals
Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
codebasics Beginner 5y ago
TensorFlow DCGAN Tutorial
ML Fundamentals
TensorFlow DCGAN Tutorial
Aladdin Persson Beginner 5y ago
How to Avoid Suffering in MLOps/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55
ML Fundamentals
How to Avoid Suffering in MLOps/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55
MLOps.community Beginner 5y ago
MLOps Live Community Session Announcement
ML Fundamentals
MLOps Live Community Session Announcement
Krish Naik Beginner 5y ago
L11.7 Weight Initialization in PyTorch -- Code Example
ML Fundamentals
L11.7 Weight Initialization in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L11.6 Xavier Glorot and Kaiming He Initialization
ML Fundamentals
L11.6 Xavier Glorot and Kaiming He Initialization
Sebastian Raschka Beginner 5y ago
Dave Selinger — AI and the Next Generation of Security Systems
ML Fundamentals ⚡ AI Lesson
Dave Selinger — AI and the Next Generation of Security Systems
Weights & Biases Beginner 5y ago
Waste Classification Machine Learning Classification Project-Waste Recycling
ML Fundamentals
Waste Classification Machine Learning Classification Project-Waste Recycling
Krish Naik Beginner 5y ago
CycleGAN Paper Walkthrough
ML Fundamentals
CycleGAN Paper Walkthrough
Aladdin Persson Beginner 5y ago
Code With Me : Logistic Regression (from scratch) !
ML Fundamentals
Code With Me : Logistic Regression (from scratch) !
ritvikmath Intermediate 5y ago
[AI Access] Applied Analytics from End-to-End
ML Fundamentals
[AI Access] Applied Analytics from End-to-End
DeepLearningAI Intermediate 5y ago
Building World-Class NLP Models with Transformers and Hugging Face | Grandmaster Series E4
ML Fundamentals ⚡ AI Lesson
Building World-Class NLP Models with Transformers and Hugging Face | Grandmaster Series E4
NVIDIA Developer Advanced 5y ago
Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems
ML Fundamentals ⚡ AI Lesson
Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems
Microsoft Research Advanced 5y ago
AI and Gaming Research Summit 2021 - Understanding Players (Day 2  Track 1.2)
ML Fundamentals
AI and Gaming Research Summit 2021 - Understanding Players (Day 2 Track 1.2)
Microsoft Research Beginner 5y ago
Expectations with Machine Learning
ML Fundamentals ⚡ AI Lesson
Expectations with Machine Learning
CodeEmporium Beginner 5y ago
PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
ML Fundamentals
PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
Patrick Loeber Beginner 5y ago
Level up your software engineering skills as a data scientist | ML Monthly February 2021
ML Fundamentals
Level up your software engineering skills as a data scientist | ML Monthly February 2021
Daniel Bourke Beginner 5y ago
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)
ML Fundamentals
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)
StatQuest with Josh Starmer Beginner 5y ago
Machine Learning Frameworks - The Landscape
ML Fundamentals
Machine Learning Frameworks - The Landscape
Roboflow Beginner 5y ago
How to Learn DATA SCIENCE Ridiculously FAST
ML Fundamentals ⚡ AI Lesson
How to Learn DATA SCIENCE Ridiculously FAST
Nicholas Renotte Beginner 5y ago
Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]
ML Fundamentals
Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]
TechWorld with Nana Beginner 5y ago
PIE  & AI Kigali – Building a Career in Data Science: From Learning to Landing a Job
ML Fundamentals
PIE & AI Kigali – Building a Career in Data Science: From Learning to Landing a Job
Deep Learning Revision Beginner 5y ago
Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media | Lex Fridman Podcast #166
ML Fundamentals ⚡ AI Lesson
Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media | Lex Fridman Podcast #166
Lex Fridman Beginner 5y ago
Intro to Deep Learning (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
Intro to Deep Learning (ML Tech Talks)
TensorFlow Beginner 5y ago
L11.5 Weight Initialization -- Why Do We Care?
ML Fundamentals
L11.5 Weight Initialization -- Why Do We Care?
Sebastian Raschka Beginner 5y ago
L11.4 Why BatchNorm Works
ML Fundamentals
L11.4 Why BatchNorm Works
Sebastian Raschka Beginner 5y ago
L11.3 BatchNorm in PyTorch -- Code Example
ML Fundamentals
L11.3 BatchNorm in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L11.2 How BatchNorm Works
ML Fundamentals
L11.2 How BatchNorm Works
Sebastian Raschka Beginner 5y ago
L11.1  Input Normalization
ML Fundamentals
L11.1 Input Normalization
Sebastian Raschka Beginner 5y ago
L11.0 Input Normalization and Weight Initialization -- Lecture Overview
ML Fundamentals
L11.0 Input Normalization and Weight Initialization -- Lecture Overview
Sebastian Raschka Beginner 5y ago
L10.5.4 Dropout in PyTorch
ML Fundamentals
L10.5.4 Dropout in PyTorch
Sebastian Raschka Beginner 5y ago
L10.5.3 (Optional) Dropout Ensemble Interpretation
ML Fundamentals
L10.5.3 (Optional) Dropout Ensemble Interpretation
Sebastian Raschka Intermediate 5y ago
L10.5.2 Dropout Co-Adaptation Interpretation
ML Fundamentals
L10.5.2 Dropout Co-Adaptation Interpretation
Sebastian Raschka Intermediate 5y ago
L10.5.1 The Main Concept Behind Dropout
ML Fundamentals
L10.5.1 The Main Concept Behind Dropout
Sebastian Raschka Intermediate 5y ago
L10.4 L2 Regularization for Neural Nets
ML Fundamentals
L10.4 L2 Regularization for Neural Nets
Sebastian Raschka Beginner 5y ago
L10.3 Early Stopping
ML Fundamentals
L10.3 Early Stopping
Sebastian Raschka Intermediate 5y ago
L10.2 Data Augmentation in PyTorch
ML Fundamentals
L10.2 Data Augmentation in PyTorch
Sebastian Raschka Beginner 5y ago
L10.1 Techniques for Reducing Overfitting
ML Fundamentals
L10.1 Techniques for Reducing Overfitting
Sebastian Raschka Intermediate 5y ago
L10.0 Regularization Methods for Neural Networks -- Lecture Overview
ML Fundamentals
L10.0 Regularization Methods for Neural Networks -- Lecture Overview
Sebastian Raschka Beginner 5y ago
Pix2Pix implementation from scratch
ML Fundamentals ⚡ AI Lesson
Pix2Pix implementation from scratch
Aladdin Persson Beginner 5y ago
How (and why) you should undervolt your GPU - A step by step guide (Deep Learning/Gaming/Mining)
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
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Foundations of Probability and Random Variables
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Foundations of Probability and Random Variables
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Introduction to AI for Beginners
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Introduction to AI for Beginners
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Cloud Data Engineering
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Cloud Data Engineering
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Foundations and Core Concepts of PyTorch
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Foundations and Core Concepts of PyTorch
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Spatial Analysis, 3D Data & Machine Learning
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Spatial Analysis, 3D Data & Machine Learning
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Building a Trading Bot – Core Features and Data Integration
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Building a Trading Bot – Core Features and Data Integration
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