Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Tutorial 8- Matplotlib (Simple Visualization Library)
ML Fundamentals
Tutorial 8- Matplotlib (Simple Visualization Library)
Krish Naik Beginner 6y ago
LIVE FROM TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
ML Fundamentals ⚡ AI Lesson
LIVE FROM TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Recursion 'Super Power' (in Python) - Computerphile
ML Fundamentals ⚡ AI Lesson
Recursion 'Super Power' (in Python) - Computerphile
Computerphile Intermediate 6y ago
Support Vector Machines Part 1 (of 3): Main Ideas!!!
ML Fundamentals ⚡ AI Lesson
Support Vector Machines Part 1 (of 3): Main Ideas!!!
StatQuest with Josh Starmer Beginner 6y ago
Announcing TensorFlow 2.0 (Coding TensorFlow)
ML Fundamentals ⚡ AI Lesson
Announcing TensorFlow 2.0 (Coding TensorFlow)
TensorFlow Beginner 6y ago
Tutorial 7- Pandas-Reading JSON,Reading HTML, Read PICKLE, Read EXCEL Files- Part 3
ML Fundamentals
Tutorial 7- Pandas-Reading JSON,Reading HTML, Read PICKLE, Read EXCEL Files- Part 3
Krish Naik Beginner 6y ago
Naive Bayes in Python - Machine Learning From Scratch 05 - Python Tutorial
ML Fundamentals
Naive Bayes in Python - Machine Learning From Scratch 05 - Python Tutorial
Patrick Loeber Beginner 6y ago
PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase
ML Fundamentals ⚡ AI Lesson
PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase
deeplizard Beginner 6y ago
Natural Language Processing: Crash Course AI #7
ML Fundamentals
Natural Language Processing: Crash Course AI #7
CrashCourse Beginner 6y ago
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
ML Fundamentals ⚡ AI Lesson
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Training Model - Deep Learning and Neural Networks with Python and Pytorch p.4
ML Fundamentals
Training Model - Deep Learning and Neural Networks with Python and Pytorch p.4
sentdex Beginner 6y ago
Construa uma rede neural para executar a classificação (Coding TensorFlow em português)
ML Fundamentals ⚡ AI Lesson
Construa uma rede neural para executar a classificação (Coding TensorFlow em português)
TensorFlow Intermediate 6y ago
Making the Mid-career Leap from Urban Design to Deep Learning/Data Science
ML Fundamentals
Making the Mid-career Leap from Urban Design to Deep Learning/Data Science
Weights & Biases Advanced 6y ago
Building our Neural Network - Deep Learning and Neural Networks with Python and Pytorch p.3
ML Fundamentals
Building our Neural Network - Deep Learning and Neural Networks with Python and Pytorch p.3
sentdex Beginner 6y ago
Machine Learning Projects for Beginners (Datasets Included)
ML Fundamentals
Machine Learning Projects for Beginners (Datasets Included)
Tech With Tim Beginner 6y ago
Many People are Einstein but in the Patent Clerk Days - François Chollet | AI Podcast Clips
ML Fundamentals ⚡ AI Lesson
Many People are Einstein but in the Patent Clerk Days - François Chollet | AI Podcast Clips
Lex Fridman Beginner 6y ago
Yann LeCun: Benchmarks for Human-Level Intelligence | AI Podcast Clips
ML Fundamentals
Yann LeCun: Benchmarks for Human-Level Intelligence | AI Podcast Clips
Lex Fridman Beginner 6y ago
Real-World Business Problems Solved by Blockchain
ML Fundamentals
Real-World Business Problems Solved by Blockchain
Coursera Intermediate 6y ago
Principal Component Analysis (The Math) : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Principal Component Analysis (The Math) : Data Science Concepts
ritvikmath Advanced 6y ago
Linear and Logistic Regression in 60 lines of Python - Machine Learning From Scratch 04
ML Fundamentals ⚡ AI Lesson
Linear and Logistic Regression in 60 lines of Python - Machine Learning From Scratch 04
Patrick Loeber Beginner 6y ago
Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka
9:38:32
ML Fundamentals ⚡ AI Lesson
Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka
edureka! Beginner 6y ago
Closed Form of the Covariance Matrix : Data Science Basics
ML Fundamentals ⚡ AI Lesson
Closed Form of the Covariance Matrix : Data Science Basics
ritvikmath Beginner 6y ago
IDEA Talk: Adrien Pavao (INRIA) on Machine Learning Challenges: Crowdsourcing Big Data Problems
ML Fundamentals ⚡ AI Lesson
IDEA Talk: Adrien Pavao (INRIA) on Machine Learning Challenges: Crowdsourcing Big Data Problems
Tetherless World Beginner 6y ago
Why and When Should we Perform Feature Normalization?
ML Fundamentals
Why and When Should we Perform Feature Normalization?
Krish Naik Intermediate 6y ago
Tutorial 6- Pandas,Reading CSV files With Various Parameters- Part 2
ML Fundamentals
Tutorial 6- Pandas,Reading CSV files With Various Parameters- Part 2
Krish Naik Beginner 6y ago
Best Laptop Configuration For Learning Machine Learning and Deep Learning
ML Fundamentals
Best Laptop Configuration For Learning Machine Learning and Deep Learning
Krish Naik Intermediate 6y ago
How to Prepare For Data Science Interviews
ML Fundamentals
How to Prepare For Data Science Interviews
Krish Naik Intermediate 6y ago
Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português)
ML Fundamentals ⚡ AI Lesson
Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português)
TensorFlow Beginner 6y ago
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
ML Fundamentals ⚡ AI Lesson
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
The TWIML AI Podcast with Sam Charrington Intermediate 6y ago
Tutorial 5- Pandas, Data Frame and Data Series Part-1
ML Fundamentals
Tutorial 5- Pandas, Data Frame and Data Series Part-1
Krish Naik Beginner 6y ago
How To Become Expertise in Exploratory Data Analysis
ML Fundamentals
How To Become Expertise in Exploratory Data Analysis
Krish Naik Intermediate 6y ago
Tutorial 4 - Numpy and Inbuilt Functions Tutorial
ML Fundamentals
Tutorial 4 - Numpy and Inbuilt Functions Tutorial
Krish Naik Beginner 6y ago
Data - Deep Learning and Neural Networks with Python and Pytorch p.2
ML Fundamentals
Data - Deep Learning and Neural Networks with Python and Pytorch p.2
sentdex Beginner 6y ago
Tutorial 3- Python Sets, Dictionaries and Tuples
ML Fundamentals
Tutorial 3- Python Sets, Dictionaries and Tuples
Krish Naik Beginner 6y ago
Tutorial 2 - Python List  and Boolean Variables
ML Fundamentals
Tutorial 2 - Python List and Boolean Variables
Krish Naik Beginner 6y ago
Tutorial 1- Anaconda Installation and Python Basics
ML Fundamentals
Tutorial 1- Anaconda Installation and Python Basics
Krish Naik Beginner 6y ago
Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment | Lex Fridman Podcast #40
ML Fundamentals
Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment | Lex Fridman Podcast #40
Lex Fridman Beginner 6y ago
Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1
ML Fundamentals
Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1
sentdex Beginner 6y ago
Lagrange Multipliers : Data Science Basics
ML Fundamentals
Lagrange Multipliers : Data Science Basics
ritvikmath Beginner 6y ago
George Hotz: Elon is the iOS | AI Podcast Clips
ML Fundamentals
George Hotz: Elon is the iOS | AI Podcast Clips
Lex Fridman Beginner 6y ago
Vector Projections : Data Science Basics
ML Fundamentals
Vector Projections : Data Science Basics
ritvikmath Beginner 6y ago
The Covariance Matrix : Data Science Basics
ML Fundamentals
The Covariance Matrix : Data Science Basics
ritvikmath Beginner 6y ago
Deep Learning with Structured Data w/ Mark Ryan - #301
ML Fundamentals ⚡ AI Lesson
Deep Learning with Structured Data w/ Mark Ryan - #301
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Selecting YouTube As A Career Option? Is It Worth?
ML Fundamentals
Selecting YouTube As A Career Option? Is It Worth?
Krish Naik Intermediate 6y ago
Eigenvalues & Eigenvectors : Data Science Basics
ML Fundamentals ⚡ AI Lesson
Eigenvalues & Eigenvectors : Data Science Basics
ritvikmath Beginner 6y ago
Build an image classifier (ML Zero to Hero - Part 4)
ML Fundamentals ⚡ AI Lesson
Build an image classifier (ML Zero to Hero - Part 4)
TensorFlow Intermediate 6y ago
How Did I Learn Machine Learning in 3 Months
ML Fundamentals
How Did I Learn Machine Learning in 3 Months
Krish Naik Intermediate 6y ago
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea  - #300
ML Fundamentals ⚡ AI Lesson
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
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Fundamentals of Machine Learning
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Fundamentals of Machine Learning
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AppDynamics Monitoring
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Foundations of Machine Learning with Azure
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Foundations of Machine Learning with Azure
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Advanced Linear Models for Data Science 2: Statistical Linear Models
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Advanced Linear Models for Data Science 2: Statistical Linear Models
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Deploying Machine Learning Models
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Deploying Machine Learning Models
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Introduction to Generative AI - Italiano
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Introduction to Generative AI - Italiano
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