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
Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)
ML Fundamentals
Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)
TensorFlow Beginner 6y ago
Introdução ao Machine Learning (ML de Zero a 100, parte 1)
ML Fundamentals
Introdução ao Machine Learning (ML de Zero a 100, parte 1)
TensorFlow Beginner 6y ago
How To Become Freelancer Data Scientist
ML Fundamentals
How To Become Freelancer Data Scientist
Krish Naik Intermediate 6y ago
How do I encode categorical features using scikit-learn?
ML Fundamentals
How do I encode categorical features using scikit-learn?
Data School Beginner 6y ago
My Experience In Service Based and Product Based Company
ML Fundamentals
My Experience In Service Based and Product Based Company
Krish Naik Intermediate 6y ago
Cryptography: Hill Cipher Python
ML Fundamentals
Cryptography: Hill Cipher Python
Aladdin Persson Beginner 6y ago
Quotes #5 on Big Data and Data Science
ML Fundamentals
Quotes #5 on Big Data and Data Science
Data Professor Beginner 6y ago
Cryptography: Vigenere Cipher Python
ML Fundamentals
Cryptography: Vigenere Cipher Python
Aladdin Persson Beginner 6y ago
Let's make an AI that destroys video games: Crash Course AI #13
ML Fundamentals
Let's make an AI that destroys video games: Crash Course AI #13
CrashCourse Beginner 6y ago
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
ML Fundamentals
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Dart Static Extension Methods - Dart 2.6
ML Fundamentals
Dart Static Extension Methods - Dart 2.6
Tensor Programming Beginner 6y ago
t-SNE with RAPIDS (600x Speedup)
ML Fundamentals
t-SNE with RAPIDS (600x Speedup)
Connor Shorten Intermediate 6y ago
PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs
ML Fundamentals
PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs
PyTorch Beginner 6y ago
PyTorch at Microsoft - Saurabh Tiwary, Microsoft
ML Fundamentals
PyTorch at Microsoft - Saurabh Tiwary, Microsoft
PyTorch Beginner 6y ago
First Time on the Internet (Internet at 50) - Computerphile
ML Fundamentals
First Time on the Internet (Internet at 50) - Computerphile
Computerphile Beginner 6y ago
Quotes #4 on Big Data and Data Science
ML Fundamentals
Quotes #4 on Big Data and Data Science
Data Professor Beginner 6y ago
Logistic Regression - VISUALIZED!
ML Fundamentals
Logistic Regression - VISUALIZED!
CodeEmporium Advanced 6y ago
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
ML Fundamentals
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
First Contact (Internet at 50) - Computerphile
ML Fundamentals
First Contact (Internet at 50) - Computerphile
Computerphile Intermediate 6y ago
How do CPUs read machine code? — 6502 part 2
ML Fundamentals
How do CPUs read machine code? — 6502 part 2
Ben Eater Intermediate 6y ago
AI Playing Games: Crash Course AI #12
ML Fundamentals
AI Playing Games: Crash Course AI #12
CrashCourse Beginner 6y ago
Construa um classificador de imagens (ML de Zero a 100, parte 4)
ML Fundamentals
Construa um classificador de imagens (ML de Zero a 100, parte 4)
TensorFlow Beginner 6y ago
Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets)
ML Fundamentals
Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets)
TensorFlow Beginner 6y ago
What Can We Do After Engineering? Career Guidance(MBA or MTech or Masters or UPSC)
ML Fundamentals
What Can We Do After Engineering? Career Guidance(MBA or MTech or Masters or UPSC)
Krish Naik Intermediate 6y ago
Tutorial 24- Max Pooling Layer In CNN
ML Fundamentals
Tutorial 24- Max Pooling Layer In CNN
Krish Naik Beginner 6y ago
Tutorial 23- Operation Of CNN(CNN vs ANN)
ML Fundamentals
Tutorial 23- Operation Of CNN(CNN vs ANN)
Krish Naik Beginner 6y ago
Reverse Engineering -An Efficient Way To Learn Machine Learning
ML Fundamentals
Reverse Engineering -An Efficient Way To Learn Machine Learning
Krish Naik Beginner 6y ago
Cryptography: Caesar Cipher Python
ML Fundamentals
Cryptography: Caesar Cipher Python
Aladdin Persson Beginner 6y ago
Machine Learning Researcher Vs Data Scientist
ML Fundamentals
Machine Learning Researcher Vs Data Scientist
Krish Naik Beginner 6y ago
Inside TensorFlow: AutoGraph
ML Fundamentals
Inside TensorFlow: AutoGraph
TensorFlow Intermediate 6y ago
Standardization Vs Normalization- Feature Scaling
ML Fundamentals
Standardization Vs Normalization- Feature Scaling
Krish Naik Intermediate 6y ago
PyTorch at Uber - Sidney Zhang, Uber
ML Fundamentals
PyTorch at Uber - Sidney Zhang, Uber
PyTorch Beginner 6y ago
Privacy Preserving AI - Andrew Trask, OpenMined
ML Fundamentals
Privacy Preserving AI - Andrew Trask, OpenMined
PyTorch Beginner 6y ago
PyTorch in Robotics - Yisong Yue, Caltech
ML Fundamentals
PyTorch in Robotics - Yisong Yue, Caltech
PyTorch Intermediate 6y ago
Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
ML Fundamentals
Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
PyTorch Beginner 6y ago
Apex -  Michael Carilli, NVIDIA
ML Fundamentals
Apex - Michael Carilli, NVIDIA
PyTorch Advanced 6y ago
PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
ML Fundamentals
PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
PyTorch Beginner 6y ago
PyTorch Developer Conference Keynote - Mike Schroepfer
ML Fundamentals
PyTorch Developer Conference Keynote - Mike Schroepfer
PyTorch Advanced 6y ago
Tutorial 21- Python OOPS Tutorial- Classes, Variables, Methods and Objects
ML Fundamentals
Tutorial 21- Python OOPS Tutorial- Classes, Variables, Methods and Objects
Krish Naik Intermediate 6y ago
Business Analyst Vs Data Analyst
ML Fundamentals
Business Analyst Vs Data Analyst
Krish Naik Beginner 6y ago
Quotes #3 on Big Data and Data Science
ML Fundamentals
Quotes #3 on Big Data and Data Science
Data Professor Beginner 6y ago
Tutorial 20- How To Import All Important Python Data Science Libraries Using Pyforest
ML Fundamentals
Tutorial 20- How To Import All Important Python Data Science Libraries Using Pyforest
Krish Naik Intermediate 6y ago
Skillset Data Scientist, Data Engineer and Domain Expertise Should Be Strong At
ML Fundamentals
Skillset Data Scientist, Data Engineer and Domain Expertise Should Be Strong At
Krish Naik Beginner 6y ago
Tutorial 19-  Python Iterables vs Iterators
ML Fundamentals
Tutorial 19- Python Iterables vs Iterators
Krish Naik Beginner 6y ago
Top 5 Programming Language To Learn in 2020
ML Fundamentals
Top 5 Programming Language To Learn in 2020
Krish Naik Beginner 6y ago
Tutorial 18- Python Advanced String Formatting
ML Fundamentals
Tutorial 18- Python Advanced String Formatting
Krish Naik Beginner 6y ago
Tutorial 17- Python List Comprehension
ML Fundamentals
Tutorial 17- Python List Comprehension
Krish Naik Beginner 6y ago
My Path Towards 50K Subscribers
ML Fundamentals
My Path Towards 50K Subscribers
Krish Naik Intermediate 6y ago
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Bracketology with Google Machine Learning
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Bracketology with Google Machine Learning
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Linear Regression & Supervised Learning in Python
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Linear Regression & Supervised Learning in Python
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Building and Optimizing AI Models
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Building and Optimizing AI Models
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Introduction to Generative AI - Português Brasileiro
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Introduction to Generative AI - Português Brasileiro
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AI & Quantum Computing – Zero to Expert Bootcamp
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AI & Quantum Computing – Zero to Expert Bootcamp
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Applied Text Mining in Python
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Applied Text Mining in Python
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