Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” 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
Output Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 048 #ai
ML Fundamentals โšก AI Lesson
Output Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 048 #ai
deeplizard Beginner 2y ago
The emergence of capabilities is influenced by training data & patterns discovered as data scales up
ML Fundamentals โšก AI Lesson
The emergence of capabilities is influenced by training data & patterns discovered as data scales up
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Deadlifts for Combatting Sitting Fatigue with Mandy ๐Ÿ’ช
ML Fundamentals โšก AI Lesson
Deadlifts for Combatting Sitting Fatigue with Mandy ๐Ÿ’ช
deeplizard Beginner 2y ago
Better tools & open-source models enable the academic community to understand model's complex system
ML Fundamentals โšก AI Lesson
Better tools & open-source models enable the academic community to understand model's complex system
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Hack your life (with demos) and get Superpowers!
ML Fundamentals โšก AI Lesson
Hack your life (with demos) and get Superpowers!
David Bombal Beginner 2y ago
Selenium Python Tutorial | Selenium Python Automation | Selenium Python Training | Edureka
ML Fundamentals
Selenium Python Tutorial | Selenium Python Automation | Selenium Python Training | Edureka
edureka! Beginner 2y ago
Advance your cyber security career with the University of London
ML Fundamentals
Advance your cyber security career with the University of London
Coursera Beginner 2y ago
Applying for jobs?
ML Fundamentals
Applying for jobs?
Coursera Beginner 2y ago
Practical Approach to ML and AI System Design // Nathan Ryan Frank // MLOps Podcast #199 clip
ML Fundamentals โšก AI Lesson
Practical Approach to ML and AI System Design // Nathan Ryan Frank // MLOps Podcast #199 clip
MLOps.community Beginner 2y ago
Soft Skills In 21st Century ||  Free Webinar
ML Fundamentals
Soft Skills In 21st Century || Free Webinar
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Stanford Webinar - Democratizing Model Discovery with Neural Networks
ML Fundamentals
Stanford Webinar - Democratizing Model Discovery with Neural Networks
Stanford Online Beginner 2y ago
Backpropagation in Neural Networks - EXPLAINED!
ML Fundamentals โšก AI Lesson
Backpropagation in Neural Networks - EXPLAINED!
CodeEmporium Advanced 2y ago
Reality Check: Why AI Engineering Might Not Be Your Best Fit
ML Fundamentals
Reality Check: Why AI Engineering Might Not Be Your Best Fit
Jean Lee Beginner 2y ago
A simple BIOS for my breadboard computer
ML Fundamentals
A simple BIOS for my breadboard computer
Ben Eater Beginner 2y ago
You need to learn AI in 2024! (And here is your roadmap)
ML Fundamentals
You need to learn AI in 2024! (And here is your roadmap)
David Bombal Beginner 2y ago
Apple is doing the UNTHINKABLE!!!
ML Fundamentals
Apple is doing the UNTHINKABLE!!!
1littlecoder Beginner 2y ago
Perfect Roadmap To Learn Data Science With Free Videos #freedatasciencecourse #shorts  #python
ML Fundamentals
Perfect Roadmap To Learn Data Science With Free Videos #freedatasciencecourse #shorts #python
Krish Naik Beginner 2y ago
Artificial Intelligence Full Course - 10 Hours | Artificial Intelligence Tutorial [2024] | Edureka
ML Fundamentals
Artificial Intelligence Full Course - 10 Hours | Artificial Intelligence Tutorial [2024] | Edureka
edureka! Beginner 2y ago
Complete Roadmap To Become Data Analyst In 2024 With Videos And Materials
ML Fundamentals
Complete Roadmap To Become Data Analyst In 2024 With Videos And Materials
Krish Naik Beginner 2y ago
Mean absolute error #ai #datascience #machine learning #interviewpreparation #shorts
ML Fundamentals
Mean absolute error #ai #datascience #machine learning #interviewpreparation #shorts
stem ai Beginner 2y ago
Building your first Neural Network
ML Fundamentals โšก AI Lesson
Building your first Neural Network
CodeEmporium Advanced 2y ago
Top 10 GitHub Data Science Projects | Data Science Portfolio Projects | Data Science Resume Projects
ML Fundamentals
Top 10 GitHub Data Science Projects | Data Science Portfolio Projects | Data Science Resume Projects
Analytics Vidhya Beginner 2y ago
Definition of a "bit", in information theory
ML Fundamentals
Definition of a "bit", in information theory
3Blue1Brown Advanced 2y ago
Guillaume Verdon: Beff Jezos, E/acc Movement, Physics, Computation & AGI | Lex Fridman Podcast #407
ML Fundamentals โšก AI Lesson
Guillaume Verdon: Beff Jezos, E/acc Movement, Physics, Computation & AGI | Lex Fridman Podcast #407
Lex Fridman Beginner 2y ago
Share it with your friends if you found it relatable
ML Fundamentals
Share it with your friends if you found it relatable
codebasics Beginner 2y ago
Top 6 Data Science GitHub Projects || MUST BOOKMARK ๐Ÿ”ฅ
ML Fundamentals
Top 6 Data Science GitHub Projects || MUST BOOKMARK ๐Ÿ”ฅ
Analytics Vidhya Intermediate 2y ago
Hidden Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 047 #ai
ML Fundamentals โšก AI Lesson
Hidden Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 047 #ai
deeplizard Beginner 2y ago
Build robust system for an open world that can manage novelty & classify LLMs to avoid hallucination
ML Fundamentals โšก AI Lesson
Build robust system for an open world that can manage novelty & classify LLMs to avoid hallucination
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Input Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 046 #ai
ML Fundamentals โšก AI Lesson
Input Layer Nodes - How many? ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 046 #ai
deeplizard Beginner 2y ago
What is a Fully Connected (Dense) Layer ๐Ÿ“š - Deep Learning Beginner ๐Ÿง ๐Ÿ” - Topic 045
ML Fundamentals โšก AI Lesson
What is a Fully Connected (Dense) Layer ๐Ÿ“š - Deep Learning Beginner ๐Ÿง ๐Ÿ” - Topic 045
deeplizard Beginner 2y ago
Why So Many Layer Types? ๐Ÿ“š - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ” - Topic 044 #ai
ML Fundamentals โšก AI Lesson
Why So Many Layer Types? ๐Ÿ“š - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ” - Topic 044 #ai
deeplizard Beginner 2y ago
Which Are Not Layers? ๐Ÿ“š ๐Ÿšซ - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ” - Topic 043 #ai
ML Fundamentals โšก AI Lesson
Which Are Not Layers? ๐Ÿ“š ๐Ÿšซ - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ” - Topic 043 #ai
deeplizard Beginner 2y ago
Layer Types ๐Ÿ“š - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ•ธ๏ธ - Topic 042 #ai #ml
ML Fundamentals โšก AI Lesson
Layer Types ๐Ÿ“š - Deep Learning & Neural Networks ๐Ÿง ๐Ÿ•ธ๏ธ - Topic 042 #ai #ml
deeplizard Beginner 2y ago
Rethink whatโ€™s possible for your career
ML Fundamentals
Rethink whatโ€™s possible for your career
Coursera Beginner 2y ago
Using Pull-Ups to Combat Bad Posture with Mandy ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ’ช
ML Fundamentals โšก AI Lesson
Using Pull-Ups to Combat Bad Posture with Mandy ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ’ช
deeplizard Beginner 2y ago
Deep Learning for Beginners ๐Ÿง  - Summary So Far ๐Ÿ“ - Topic 041 #ai #ml
ML Fundamentals โšก AI Lesson
Deep Learning for Beginners ๐Ÿง  - Summary So Far ๐Ÿ“ - Topic 041 #ai #ml
deeplizard Beginner 2y ago
Your new career is calling.
ML Fundamentals
Your new career is calling.
Coursera Beginner 2y ago
Neural Network Construction in Code ๐Ÿ› ๏ธ - For Beginners ๐Ÿ“– - Topic 040 #ai #ml
ML Fundamentals โšก AI Lesson
Neural Network Construction in Code ๐Ÿ› ๏ธ - For Beginners ๐Ÿ“– - Topic 040 #ai #ml
deeplizard Beginner 2y ago
TensorFlow Object Detection | Realtime Object Detection with TensorFlow | TensorFlow Python |Edureka
ML Fundamentals
TensorFlow Object Detection | Realtime Object Detection with TensorFlow | TensorFlow Python |Edureka
edureka! Intermediate 2y ago
Autoencoders Tutorial | Autoencoders In Deep Learning | Tensorflow Training | Edureka
ML Fundamentals
Autoencoders Tutorial | Autoencoders In Deep Learning | Tensorflow Training | Edureka
edureka! Beginner 2y ago
Neural Network Output Layer ๐ŸŽฏ - Code From Visual ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 039 #ai
ML Fundamentals โšก AI Lesson
Neural Network Output Layer ๐ŸŽฏ - Code From Visual ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 039 #ai
deeplizard Beginner 2y ago
Learn Korean for FREE
ML Fundamentals
Learn Korean for FREE
Coursera Beginner 2y ago
Neural Network Hidden Layers Part 2 ๐Ÿ•ต๏ธโ€โ™‚๏ธ - Code From Visual ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 038 #ai
ML Fundamentals โšก AI Lesson
Neural Network Hidden Layers Part 2 ๐Ÿ•ต๏ธโ€โ™‚๏ธ - Code From Visual ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 038 #ai
deeplizard Beginner 2y ago
Computational Graphs For Neural Networks - Visual Code Demo
ML Fundamentals โšก AI Lesson
Computational Graphs For Neural Networks - Visual Code Demo
deeplizard Beginner 2y ago
Forgotten history of Calculus in India
ML Fundamentals โšก AI Lesson
Forgotten history of Calculus in India
CodeEmporium Intermediate 2y ago
Roadmap to Learn Data Science & Industry Ready Projects In 2024 With Free Videos And Materials
ML Fundamentals
Roadmap to Learn Data Science & Industry Ready Projects In 2024 With Free Videos And Materials
Krish Naik Beginner 2y ago
Calculus in 60 seconds
ML Fundamentals โšก AI Lesson
Calculus in 60 seconds
CodeEmporium Intermediate 2y ago
Programming Languages With Evergreen Huge Growth Scope In 2024
ML Fundamentals
Programming Languages With Evergreen Huge Growth Scope In 2024
Krish Naik Beginner 2y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
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Deep Learning - Artificial Neural Networks with TensorFlow
๐Ÿ“š Coursera Course โ†—
Self-paced
Deep Learning - Artificial Neural Networks with TensorFlow
Opens on Coursera โ†—
Creating Multi Task Models With Keras
๐Ÿ“š Coursera Course โ†—
Self-paced
Creating Multi Task Models With Keras
Opens on Coursera โ†—
Machine Learning Models in Science
๐Ÿ“š Coursera Course โ†—
Self-paced
Machine Learning Models in Science
Opens on Coursera โ†—
Deep Learning with PyTorch : Generative Adversarial Network
๐Ÿ“š Coursera Course โ†—
Self-paced
Deep Learning with PyTorch : Generative Adversarial Network
Opens on Coursera โ†—
Compare Models with Experiments in Azure ML Studio
๐Ÿ“š Coursera Course โ†—
Self-paced
Compare Models with Experiments in Azure ML Studio
Opens on Coursera โ†—
Create Image Captioning Models - Italiano
๐Ÿ“š Coursera Course โ†—
Self-paced
Create Image Captioning Models - Italiano
Opens on Coursera โ†—