📐 ML Fundamentals

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

ML Fundamentals

Detailed Salary Comparison Between Data Analyst and Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 11

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Kaggle Competition- Dengue or Malaria Prediction Using Transfer Learning VGG19

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

Pie & AI Medellín: A Discussion with Andrew Ng and Helmuth Trefftz

DeepLearningAI Beginner 6y ago

ML Fundamentals

What is Intelligence? - François Chollet and Lex Fridman | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

Yann LeCun: Was HAL 9000 Good or Evil? - Space Odyssey 2001 | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

Logistic Regression in Python - Machine Learning From Scratch 03 - Python Tutorial

Patrick Loeber Beginner 6y ago

ML Fundamentals

5 Beginner Friendly Steps to Learn Machine Learning

Daniel Bourke Beginner 6y ago

ML Fundamentals

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater Beginner 6y ago

ML Fundamentals

How Backpropagation Works

Brandon Rohrer Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 10

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

The UNCOL Problem - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

Introducing convolutional neural networks (ML Zero to Hero - Part 3)

TensorFlow Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Linear Regression in Python - Machine Learning From Scratch 02 - Python Tutorial

Patrick Loeber Beginner 6y ago

ML Fundamentals

Adversarial Attacks on Neural Networks - Bug or Feature?

Two Minute Papers Intermediate 6y ago

ML Fundamentals

Basics of PCA (Principal Component Analysis) : Data Science Concepts

ritvikmath Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Derivative of a Matrix : Data Science Basics

ritvikmath Beginner 6y ago

ML Fundamentals

Applied Deep Learning - Rosanne Liu on AI Research (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

Illinois Online Master of Computer Science (& MCS-DS) Admissions Webinar

Coursera Beginner 6y ago

ML Fundamentals

DEEP LEARNING MEME REVIEW - Episode 1

Yannic Kilcher Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Basic Computer Vision with ML (ML Zero to Hero - Part 2)

TensorFlow Beginner 6y ago

ML Fundamentals

Dynamic Routing Between Capsules

Yannic Kilcher Intermediate 6y ago

ML Fundamentals

Five Lessons for Team-Oriented Research with Peter Welder (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

Salary Comparison Between Data Scientist vs Software Engineer

Krish Naik Intermediate 6y ago

ML Fundamentals

Kaggle Competition- Predicting PIMA Diabetes Prediction using Machine Learning

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A Internship Opportunities

Krish Naik Intermediate 6y ago

ML Fundamentals

François Chollet: Keras, Deep Learning, and the Progress of AI | Lex Fridman Podcast #38

Lex Fridman Beginner 6y ago

ML Fundamentals

Kaggle Competition- Implement A DNA Classifier using NLP

Krish Naik Intermediate 6y ago

ML Fundamentals

Kaggle Competition- Predict Stock Price Movement Based On News Headline using NLP

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Statistics-Finding Outliers in Dataset using Z- score and IQR

Krish Naik Intermediate 6y ago

ML Fundamentals

George Hotz: Winning - A Reinforcement Learning Approach | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

Featuring Engineering- How To Handle Ordinal Categories(Ordinal Encoding)

Krish Naik Intermediate 6y ago

ML Fundamentals

Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance

Krish Naik Beginner 6y ago

ML Fundamentals

Featuring Engineering- Handle Categorical Features Many Categories(Count/Frequency Encoding)

Krish Naik Intermediate 6y ago

ML Fundamentals

Skills Required To Become A Data Analyst and a Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

Kaggle Competition- I Used Deep Learning Technique and did the Accuracy Increase? Part 3

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

So ... What Actually is a Matrix ? : Data Science Basics

ritvikmath Beginner 6y ago

ML Fundamentals

Kaggle Competition - House Prices Regression Techniques(Hyperparameter Tuning)-Part 2

Krish Naik Intermediate 6y ago

ML Fundamentals

Kaggle Competition - House Prices: Advanced Regression Techniques Part1

Krish Naik Intermediate 6y ago

ML Fundamentals

Various Roles and Responsibilities in Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A (Discussion Regarding Upcoming Videos)

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Machine Learning Engineer VS Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Chebyshev's InEquality

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- What is Central Limit Theorem?

Krish Naik Beginner 6y ago

ML Fundamentals

STATISTICS- Gaussian/ Normal Distribution

Krish Naik Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

Testing and Deployment of Deep Learning Models with Josh Tobin (2019)

Weights & Biases Beginner 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Algebra and Differential Calculus for Data Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Image Classification on Autopilot with AWS AutoGluon

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Fundamentals

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Basic Data Processing and Visualization

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics 101 - Energy and Momentum

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Modèles de séquence

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS: Security, Governance, and Compliance

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS Certified Machine Learning - Specialty

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Basics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Managing Machine Learning Projects

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning: Clustering & Retrieval

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Analyze Financial Risk Using AI, Markets, and Governance

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Sequences, Time Series and Prediction

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deep Learning with PyTorch : Object Localization

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Foundations of Data Science and Statistical Methods

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Solve Business Problems with AI and Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

Opens on Coursera ↗