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📐 ML Fundamentals

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

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TensorFlow Tutorial 4 - Convolutional Neural Networks with Sequential and Functional API
📐 ML Fundamentals
TensorFlow Tutorial 4 - Convolutional Neural Networks with Sequential and Functional API
Aladdin Persson Beginner 5y ago
MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet
📐 ML Fundamentals
MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet
MLOps.community Beginner 5y ago
How to use Advanced Google Search to extract Email Ids from Linkedin
📐 ML Fundamentals
How to use Advanced Google Search to extract Email Ids from Linkedin
1littlecoder Beginner 5y ago
Intro to Digital Cameras
📐 ML Fundamentals
Intro to Digital Cameras
MIT OpenCourseWare Beginner 5y ago
TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API
📐 ML Fundamentals
TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API
Aladdin Persson Beginner 5y ago
Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch | Lex Fridman Podcast #114
📐 ML Fundamentals
Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch | Lex Fridman Podcast #114
Lex Fridman Beginner 5y ago
Live Data Science Q&A With Krish And Sudhanshu- Give Away ML for Deployment+Internships For Women
📐 ML Fundamentals
Live Data Science Q&A With Krish And Sudhanshu- Give Away ML for Deployment+Internships For Women
Krish Naik Beginner 5y ago
NumPy Crash Course - Complete Tutorial
📐 ML Fundamentals
NumPy Crash Course - Complete Tutorial
Patrick Loeber Beginner 5y ago
Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
📐 ML Fundamentals
Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
Microsoft Research Beginner 5y ago
Neural Augmentation for Wireless Communication with Max Welling - #398
📐 ML Fundamentals
Neural Augmentation for Wireless Communication with Max Welling - #398
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Live- Discussion On Cross Validation Techniques And Selection of Machine Learning Algorithms
📐 ML Fundamentals
Live- Discussion On Cross Validation Techniques And Selection of Machine Learning Algorithms
Krish Naik Beginner 5y ago
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
📐 ML Fundamentals
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
Elvis Saravia Beginner 5y ago
Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery
📐 ML Fundamentals
Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery
Weights & Biases Beginner 5y ago
Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
📐 ML Fundamentals
Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
Patrick Loeber Beginner 5y ago
Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
📐 ML Fundamentals
Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
codebasics Beginner 5y ago
Reviewing Your Data Science Projects - Episode 14 [Deep Learning Focus]
📐 ML Fundamentals
Reviewing Your Data Science Projects - Episode 14 [Deep Learning Focus]
Ken Jee Beginner 5y ago
TWIML Webinar: "Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker"
📐 ML Fundamentals
TWIML Webinar: "Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker"
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Data Science PC Configs: From Low Range to Super-High Range
📐 ML Fundamentals
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur Beginner 5y ago
Dive into Deep Learning (Study Group): Introduction to Deep Learning | Session 1
📐 ML Fundamentals
Dive into Deep Learning (Study Group): Introduction to Deep Learning | Session 1
Elvis Saravia Beginner 5y ago
Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
📐 ML Fundamentals
Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
codebasics Beginner 5y ago
Talks # 8: Sebastián Ramírez; Build a machine learning API  from scratch  with FastAPI
📐 ML Fundamentals
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur Beginner 5y ago
Manolis Kellis: Human Genome and Evolutionary Dynamics | Lex Fridman Podcast #113
📐 ML Fundamentals
Manolis Kellis: Human Genome and Evolutionary Dynamics | Lex Fridman Podcast #113
Lex Fridman Beginner 5y ago
Frontiers in Machine Learning: Security and Machine Learning
📐 ML Fundamentals
Frontiers in Machine Learning: Security and Machine Learning
Microsoft Research Beginner 5y ago
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
📐 ML Fundamentals
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
MLOps.community Beginner 5y ago
Code Update for CNN Training with TensorFlow's Keras API
📐 ML Fundamentals
Code Update for CNN Training with TensorFlow's Keras API
deeplizard Beginner 5y ago
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
📐 ML Fundamentals
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
Yannic Kilcher Beginner 5y ago
AI Assisted Masking - Save Your Precious Time Right Now [AE Rotobrush 2]
📐 ML Fundamentals
AI Assisted Masking - Save Your Precious Time Right Now [AE Rotobrush 2]
bycloud Beginner 5y ago
Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
📐 ML Fundamentals
Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
Harshit Tyagi Beginner 5y ago
TensorFlow Tutorial 2 - Tensor Basics
📐 ML Fundamentals
TensorFlow Tutorial 2 - Tensor Basics
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 1 - Installation and Setup Deep Learning Environment (Anaconda and PyCharm)
📐 ML Fundamentals
TensorFlow Tutorial 1 - Installation and Setup Deep Learning Environment (Anaconda and PyCharm)
Aladdin Persson Beginner 5y ago
Step By Step Playlist To Follow To Learn Data Science Through My Channel - Part 2
📐 ML Fundamentals
Step By Step Playlist To Follow To Learn Data Science Through My Channel - Part 2
Krish Naik Beginner 5y ago
Step By Step Playlist To Follow To Learn Data Science Through My Channel Part 1- Must for Everyone
📐 ML Fundamentals
Step By Step Playlist To Follow To Learn Data Science Through My Channel Part 1- Must for Everyone
Krish Naik Beginner 5y ago
Live Discussion On Outlier And Its Impacts On Machine Learning UseCases
📐 ML Fundamentals
Live Discussion On Outlier And Its Impacts On Machine Learning UseCases
Krish Naik Beginner 5y ago
HOW TO LEARN DEEP LEARNING - The Most Efficient Way To Go From Beginner to Advanced
📐 ML Fundamentals
HOW TO LEARN DEEP LEARNING - The Most Efficient Way To Go From Beginner to Advanced
Aladdin Persson Beginner 5y ago
Live Discussion On Handling Imbalanced Dataset- Machine Learning
📐 ML Fundamentals
Live Discussion On Handling Imbalanced Dataset- Machine Learning
Krish Naik Beginner 5y ago
Pytorch Quick Tip: Calculate Mean and Standard Deviation of Data
📐 ML Fundamentals
Pytorch Quick Tip: Calculate Mean and Standard Deviation of Data
Aladdin Persson Beginner 5y ago
NVIDIA TITAN RTX UNBOXING
📐 ML Fundamentals
NVIDIA TITAN RTX UNBOXING
codebasics Beginner 5y ago
Pytorch Quick Tip: Reproducible Results and Deterministic Behavior
📐 ML Fundamentals
Pytorch Quick Tip: Reproducible Results and Deterministic Behavior
Aladdin Persson Beginner 5y ago
Pytorch Tutorial 5-Live- Kaggle Advance House Price Prediction Using Pytorch Deep Learning
📐 ML Fundamentals
Pytorch Tutorial 5-Live- Kaggle Advance House Price Prediction Using Pytorch Deep Learning
Krish Naik Beginner 5y ago
PYTORCH COMMON MISTAKES - How To Save Time 🕒
📐 ML Fundamentals
PYTORCH COMMON MISTAKES - How To Save Time 🕒
Aladdin Persson Beginner 5y ago
Graph ML Research at Twitter with Michael Bronstein - #394
📐 ML Fundamentals
Graph ML Research at Twitter with Michael Bronstein - #394
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
WTFML: Simple, reusable code for PyTorch models
📐 ML Fundamentals
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur Beginner 5y ago
Live Q&A: Getting Started With Data Science
📐 ML Fundamentals
Live Q&A: Getting Started With Data Science
Abhishek Thakur Beginner 5y ago
Live In-depth Discussion Of PyCaret Automated Machine Learning Library Part 2
📐 ML Fundamentals
Live In-depth Discussion Of PyCaret Automated Machine Learning Library Part 2
Krish Naik Beginner 5y ago
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
📐 ML Fundamentals
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur Beginner 5y ago
Live In-depth Discussion Of PyCaret Automated Machine Learning Library
📐 ML Fundamentals
Live In-depth Discussion Of PyCaret Automated Machine Learning Library
Krish Naik Beginner 5y ago
Hyperparameter Tuning Techniques Genetic Algorithms And Optuna Data Science Machine Learning- Part 2
📐 ML Fundamentals
Hyperparameter Tuning Techniques Genetic Algorithms And Optuna Data Science Machine Learning- Part 2
Krish Naik Beginner 5y ago
Live-Discussing All Hyperparameter Tuning Techniques Data Science Machine Learning
📐 ML Fundamentals
Live-Discussing All Hyperparameter Tuning Techniques Data Science Machine Learning
Krish Naik Beginner 5y ago
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ML Parameters Optimization: GridSearch, Bayesian, Random
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ML Parameters Optimization: GridSearch, Bayesian, Random
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Fundamentals of Deep Learning
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Fundamentals of Deep Learning
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Chatbots
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Chatbots
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CUDA at Scale for the Enterprise
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CUDA at Scale for the Enterprise
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Deep Learning, NLP, and AI Applications
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Deep Learning, NLP, and AI Applications
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Machine Learning in the Enterprise - Français
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Machine Learning in the Enterprise - Français
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