✕ Clear filters
12,996 lessons

📐 ML Fundamentals

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

All ▶ YouTube 198,939📚 Coursera 18,124🎤 TED 1
Female leadership in a time of change in Saudi Arabia
📐 ML Fundamentals
Female leadership in a time of change in Saudi Arabia
Saïd Business School, University of Oxford Intermediate 2y ago
Types Of Artificial Intelligence | Artificial Intelligence Explained | What is AI? | Edureka
📐 ML Fundamentals
Types Of Artificial Intelligence | Artificial Intelligence Explained | What is AI? | Edureka
edureka! Beginner 2y ago
Deep Learning 101: Training, Goals, and Predictions Explained 🚀📘 - Topic 010 #ai #ml
📐 ML Fundamentals
Deep Learning 101: Training, Goals, and Predictions Explained 🚀📘 - Topic 010 #ai #ml
deeplizard Beginner 2y ago
Pistol Squat Progression with Mandy + 🦗
📐 ML Fundamentals
Pistol Squat Progression with Mandy + 🦗
deeplizard Beginner 2y ago
Maximizing the Potential of Deep Learning in Tabular Data Analysis // Sachin Abeywardana //#180 clip
📐 ML Fundamentals
Maximizing the Potential of Deep Learning in Tabular Data Analysis // Sachin Abeywardana //#180 clip
MLOps.community Beginner 2y ago
Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1
📐 ML Fundamentals
Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1
MLOps.community Beginner 2y ago
Building a GenAI Ready ML Platform with Metaflow at Autodesk
📐 ML Fundamentals
Building a GenAI Ready ML Platform with Metaflow at Autodesk
Outerbounds Beginner 2y ago
Different Front- end Full- Stack Technologies Free Webinar
📐 ML Fundamentals
Different Front- end Full- Stack Technologies Free Webinar
Entri Coding മലയാളം Beginner 2y ago
Stanford CS109 I Algorithmic Analysis I 2022 I Lecture 20
📐 ML Fundamentals
Stanford CS109 I Algorithmic Analysis I 2022 I Lecture 20
Stanford Online Beginner 2y ago
Stanford CS109 I Future of Probability I 2022 I Lecture 28
📐 ML Fundamentals
Stanford CS109 I Future of Probability I 2022 I Lecture 28
Stanford Online Beginner 2y ago
Raw Conversation-What Does Machine Learning Engineer do?
📐 ML Fundamentals
Raw Conversation-What Does Machine Learning Engineer do?
Krish Naik Beginner 2y ago
3 3 surprising, high paying jobs that don’t need a degree!
📐 ML Fundamentals
3 3 surprising, high paying jobs that don’t need a degree!
Coursera Beginner 2y ago
What are Decision Trees?
📐 ML Fundamentals
What are Decision Trees?
TensorFlow Beginner 2y ago
I Day Traded $1000 Using Reinforcement Learning and Bayesian Statistics
📐 ML Fundamentals
I Day Traded $1000 Using Reinforcement Learning and Bayesian Statistics
ritvikmath Beginner 2y ago
How to solve problems with Reinforcement Learning | Markov Decision Process
📐 ML Fundamentals
How to solve problems with Reinforcement Learning | Markov Decision Process
CodeEmporium Advanced 2y ago
Live Q&A After Long Time- Krish Naik
📐 ML Fundamentals
Live Q&A After Long Time- Krish Naik
Krish Naik Beginner 2y ago
The Pirate Bay Saga PART- 1
📐 ML Fundamentals
The Pirate Bay Saga PART- 1
Entri Coding മലയാളം Beginner 2y ago
In demand careers you should know about: Bookkeeping
📐 ML Fundamentals
In demand careers you should know about: Bookkeeping
Coursera Beginner 2y ago
Mechanical Engineer to Deep Learning Engineer with 2X Salary!
📐 ML Fundamentals
Mechanical Engineer to Deep Learning Engineer with 2X Salary!
codebasics Beginner 2y ago
Oblivious Transfer - Computerphile
📐 ML Fundamentals
Oblivious Transfer - Computerphile
Computerphile Beginner 2y ago
LSTM Explained | Introduction to LSTM | Deep Learning Training | Edureka Rewind
📐 ML Fundamentals
LSTM Explained | Introduction to LSTM | Deep Learning Training | Edureka Rewind
edureka! Beginner 2y ago
Stanford CS109 I Advanced Probability I 2022 I Lecture 27
📐 ML Fundamentals
Stanford CS109 I Advanced Probability I 2022 I Lecture 27
Stanford Online Beginner 2y ago
Stanford CS109 I Deep Learning I 2022 I Lecture 25
📐 ML Fundamentals
Stanford CS109 I Deep Learning I 2022 I Lecture 25
Stanford Online Beginner 2y ago
Stanford CS109 I Central Limit Theorem I 2022 I Lecture 18
📐 ML Fundamentals
Stanford CS109 I Central Limit Theorem I 2022 I Lecture 18
Stanford Online Beginner 2y ago
Quad Flexibility with Mandy + Lizard 🦎💪
📐 ML Fundamentals
Quad Flexibility with Mandy + Lizard 🦎💪
deeplizard Beginner 2y ago
Get started TODAY!
📐 ML Fundamentals
Get started TODAY!
Coursera Beginner 2y ago
Complete ML,DL,NLP And Computer Vision Project Guide With Free Videos And Materials
📐 ML Fundamentals
Complete ML,DL,NLP And Computer Vision Project Guide With Free Videos And Materials
Krish Naik Beginner 2y ago
Stanford Seminar - Perception-Rich Robot Autonomy with Neural Environment Models
📐 ML Fundamentals
Stanford Seminar - Perception-Rich Robot Autonomy with Neural Environment Models
Stanford Online Beginner 2y ago
Want a career that's always in demand?
📐 ML Fundamentals
Want a career that's always in demand?
Coursera Intermediate 2y ago
Stanford CS109 Probability for Computer Scientists I Logistic Regression I 2022 I Lecture 24
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Logistic Regression I 2022 I Lecture 24
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Naive Bayes I 2022 I Lecture 23
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Naive Bayes I 2022 I Lecture 23
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I M.A.P. I 2022 I Lecture 22
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I M.A.P. I 2022 I Lecture 22
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I M.L.E. I 2022 I Lecture 21
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I M.L.E. I 2022 I Lecture 21
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Adding Random Variables I 2022 I Lecture 17
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Adding Random Variables I 2022 I Lecture 17
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Beta I 2022 I Lecture 16
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Beta I 2022 I Lecture 16
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I General Inference I 2022 I Lecture 15
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I General Inference I 2022 I Lecture 15
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Modelling I 2022 I Lecture 14
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Modelling I 2022 I Lecture 14
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Inference II I 2022 I Lecture 13
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Inference II I 2022 I Lecture 13
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Inference I 2022 I Lecture 12
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Inference I 2022 I Lecture 12
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Normal Distribution I 2022 I Lecture 10
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Normal Distribution I 2022 I Lecture 10
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Joint Distributions I 2022 I Lecture 11
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Joint Distributions I 2022 I Lecture 11
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Continuous Random Variables I 2022 I Lecture 9
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Continuous Random Variables I 2022 I Lecture 9
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Poisson I 2022 I Lecture 8
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Poisson I 2022 I Lecture 8
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Variance Bernoulli Binomial I 2022 I Lecture 7
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Variance Bernoulli Binomial I 2022 I Lecture 7
Stanford Online Beginner 2y ago
Stanford CS109 I Random Variables and Expectation I 2022 I Lecture 6
📐 ML Fundamentals
Stanford CS109 I Random Variables and Expectation I 2022 I Lecture 6
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I Independence I 2022 I Lecture 5
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I Independence I 2022 I Lecture 5
Stanford Online Beginner 2y ago
Stanford CS109 I Conditional Probability and Bayes I 2022 I Lecture 4
📐 ML Fundamentals
Stanford CS109 I Conditional Probability and Bayes I 2022 I Lecture 4
Stanford Online Beginner 2y ago
Stanford CS109 Probability for Computer Scientists I What is Probability? I 2022 I Lecture 3
📐 ML Fundamentals
Stanford CS109 Probability for Computer Scientists I What is Probability? I 2022 I Lecture 3
Stanford Online Beginner 2y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Deep Learning with PyTorch : Image Segmentation
📚 Coursera Course ↗
Self-paced
Deep Learning with PyTorch : Image Segmentation
Opens on Coursera ↗
Grow Trees & Powerful Ensembles
📚 Coursera Course ↗
Self-paced
Grow Trees & Powerful Ensembles
Opens on Coursera ↗
What is Product Lifecycle Management?
📚 Coursera Course ↗
Self-paced
What is Product Lifecycle Management?
Opens on Coursera ↗
Practical Machine Learning without Coding
📚 Coursera Course ↗
Self-paced
Practical Machine Learning without Coding
Opens on Coursera ↗
Key Industry 4.0 Technologies in Manufacturing - 2
📚 Coursera Course ↗
Self-paced
Key Industry 4.0 Technologies in Manufacturing - 2
Opens on Coursera ↗
Attention Mechanism
📚 Coursera Course ↗
Self-paced
Attention Mechanism
Opens on Coursera ↗