Foundations

ML Fundamentals

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

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ML Maths Basics

Manipulate vectors and matrices

Supervised Learning

Train decision trees, random forests, and neural nets

Unsupervised Learning

Apply k-means and DBSCAN clustering

Engineer features and handle missing data

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Intro: A New Way to Start Linear Algebra

ML Fundamentals

Intro: A New Way to Start Linear Algebra

MIT OpenCourseWare Beginner 5y ago

Part 1: The Column Space of a Matrix

ML Fundamentals

Part 1: The Column Space of a Matrix

MIT OpenCourseWare Beginner 5y ago

Machine Learning-Bias And Variance In Depth Intuition| Overfitting Underfitting

ML Fundamentals

Machine Learning-Bias And Variance In Depth Intuition| Overfitting Underfitting

Krish Naik Beginner 5y ago

Candlestick Patterns : Stock Trading Basics

ML Fundamentals

Candlestick Patterns : Stock Trading Basics

ritvikmath Beginner 5y ago

BERT Neural Network - EXPLAINED!

ML Fundamentals

BERT Neural Network - EXPLAINED!

CodeEmporium Advanced 5y ago

Avoiding buzzwords when hiring for data scientists

ML Fundamentals

Avoiding buzzwords when hiring for data scientists

MLOps.community Beginner 5y ago

DevOps Vs MLOps

ML Fundamentals

DevOps Vs MLOps

MLOps.community Beginner 5y ago

3 Lessons from Interviewing Jonathan Frankle

ML Fundamentals

3 Lessons from Interviewing Jonathan Frankle

Connor Shorten Beginner 5y ago

Who Are My Channel Audience? (Important Message For Everyone)

ML Fundamentals

Who Are My Channel Audience? (Important Message For Everyone)

Krish Naik Intermediate 5y ago

Neural Network Dreams About Beautiful Natural Scenes

ML Fundamentals

Neural Network Dreams About Beautiful Natural Scenes

Two Minute Papers Beginner 5y ago

Neural Networks from Scratch - P.4 Batches, Layers, and Objects

ML Fundamentals

Neural Networks from Scratch - P.4 Batches, Layers, and Objects

sentdex Beginner 5y ago

What You Need to Know for a Data Science Internship

ML Fundamentals

What You Need to Know for a Data Science Internship

Ken Jee Beginner 5y ago

Track your machine learning experiments locally, with W&B Local - Chris Van Pelt

ML Fundamentals

Track your machine learning experiments locally, with W&B Local - Chris Van Pelt

Weights & Biases Intermediate 5y ago

Surprising Utility of Surprise: Why ML Uses Negative Log Probabilities - Charles Frye

ML Fundamentals

Surprising Utility of Surprise: Why ML Uses Negative Log Probabilities - Charles Frye

Weights & Biases Advanced 5y ago

Contact Tracing Technology - Computerphile

ML Fundamentals

Contact Tracing Technology - Computerphile

Computerphile Intermediate 5y ago

AI Enterprise Workflow Study Group - Course 4, Week 1

ML Fundamentals

AI Enterprise Workflow Study Group - Course 4, Week 1

The TWIML AI Podcast with Sam Charrington Intermediate 5y ago

AI Enterprise Workflow Study Group - Course 4, Week 2

ML Fundamentals

AI Enterprise Workflow Study Group - Course 4, Week 2

The TWIML AI Podcast with Sam Charrington Intermediate 5y ago

Coding ARMA Model : Time Series Talk

ML Fundamentals

Coding ARMA Model : Time Series Talk

ritvikmath Intermediate 5y ago

Correlation-alternative PPS (Predictive Power Score) Python Package Demo

ML Fundamentals

Correlation-alternative PPS (Predictive Power Score) Python Package Demo

1littlecoder Beginner 5y ago

What’s Inside a Neural Network?

ML Fundamentals

What’s Inside a Neural Network?

Two Minute Papers Beginner 5y ago

How To Load Machine Learning Data From Files In Python

ML Fundamentals

How To Load Machine Learning Data From Files In Python

Patrick Loeber Beginner 5y ago

Neural Network from Scratch - Machine Learning Python

ML Fundamentals

Neural Network from Scratch - Machine Learning Python

Aladdin Persson Advanced 5y ago

Oxford Scenarios Programme

ML Fundamentals

Oxford Scenarios Programme

Saïd Business School, University of Oxford Intermediate 5y ago

AI Weekly Update - April 27th, 2020 (#19)

ML Fundamentals

AI Weekly Update - April 27th, 2020 (#19)

Connor Shorten Advanced 5y ago

Part 5: Singular Values and Singular Vectors

ML Fundamentals

Part 5: Singular Values and Singular Vectors

MIT OpenCourseWare Beginner 5y ago

Part 4: Eigenvalues and Eigenvectors

ML Fundamentals

Part 4: Eigenvalues and Eigenvectors

MIT OpenCourseWare Intermediate 5y ago

Part 3: Orthogonal Vectors

ML Fundamentals

Part 3: Orthogonal Vectors

MIT OpenCourseWare Intermediate 5y ago

Part 2: The Big Picture of Linear Algebra

ML Fundamentals

Part 2: The Big Picture of Linear Algebra

MIT OpenCourseWare Intermediate 5y ago

Different mentalities between ML engineers and Data Scientists

ML Fundamentals

Different mentalities between ML engineers and Data Scientists

MLOps.community Beginner 5y ago

Evolution of data scientist titles and roles

ML Fundamentals

Evolution of data scientist titles and roles

MLOps.community Beginner 5y ago

Qualities to look for in an ML engineer

ML Fundamentals

Qualities to look for in an ML engineer

MLOps.community Beginner 5y ago

Natural Language Processing|TF-IDF Intuition| Text Prerocessing

ML Fundamentals

Natural Language Processing|TF-IDF Intuition| Text Prerocessing

Krish Naik Intermediate 5y ago

Natural Language Processing|Bag Of Words Intuition

ML Fundamentals

Natural Language Processing|Bag Of Words Intuition

Krish Naik Intermediate 5y ago

Natural Language Processing| Stemming And Lemmatization Intuition

ML Fundamentals

Natural Language Processing| Stemming And Lemmatization Intuition

Krish Naik Intermediate 5y ago

Maths Intuition Behind Support Vector Machine Part 2 | Machine Learning Data Science

ML Fundamentals

Maths Intuition Behind Support Vector Machine Part 2 | Machine Learning Data Science

Krish Naik Beginner 5y ago

Are Certification Necessary For Data Science?

ML Fundamentals

Are Certification Necessary For Data Science?

Krish Naik Intermediate 5y ago

How To Develop Multi Output Regression Models With Python- Machine Learning

ML Fundamentals

How To Develop Multi Output Regression Models With Python- Machine Learning

Krish Naik Beginner 5y ago

Impacts On Hiring For Jobs Due To The Recent Events

ML Fundamentals

Impacts On Hiring For Jobs Due To The Recent Events

Krish Naik Intermediate 5y ago

Hottest Domains To Work To Get Into Data Science Careers

ML Fundamentals

Hottest Domains To Work To Get Into Data Science Careers

Krish Naik Intermediate 5y ago

Support Vector Machine (SVM) Basic Intuition- Part 1| Machine Learning

ML Fundamentals

Support Vector Machine (SVM) Basic Intuition- Part 1| Machine Learning

Krish Naik Beginner 5y ago

How To visualize Decision Tree In Random Forest- Machine Learning

ML Fundamentals

How To visualize Decision Tree In Random Forest- Machine Learning

Krish Naik Beginner 5y ago

Lecture 1: Introduction to Private Pilot Ground School

ML Fundamentals

Lecture 1: Introduction to Private Pilot Ground School

MIT OpenCourseWare Beginner 5y ago

Special Lecture: The How and the Why of IFR

ML Fundamentals

Special Lecture: The How and the Why of IFR

MIT OpenCourseWare Intermediate 5y ago

Lecture 5: Charts and Airspace

ML Fundamentals

Lecture 5: Charts and Airspace

MIT OpenCourseWare Intermediate 5y ago

Lecture 18: Weight and Balance

ML Fundamentals

Lecture 18: Weight and Balance

MIT OpenCourseWare Intermediate 5y ago

Lecture 17: Small UAS Operations

ML Fundamentals

Lecture 17: Small UAS Operations

MIT OpenCourseWare Intermediate 5y ago

Lecture 16: Seaplanes

ML Fundamentals

Lecture 16: Seaplanes

MIT OpenCourseWare Beginner 5y ago

Lecture 7: Navigation

ML Fundamentals

Lecture 7: Navigation

MIT OpenCourseWare Beginner 5y ago

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Deep Learning with PyTorch : Siamese Network

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Deep Learning with PyTorch : Siamese Network

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📚 Coursera Course ↗

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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Optimize Vision Datasets: Augment and Analyze

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Optimize Vision Datasets: Augment and Analyze

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📚 Coursera Course ↗

Responsible AI: Applying AI Principles with Google Cloud

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📚 Coursera Course ↗

Convolutional Neural Networks in TensorFlow

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📚 Coursera Course ↗

Build Decision Trees, SVMs, and Artificial Neural Networks

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Advanced Healthcare Analytics

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Advanced Healthcare Analytics

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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

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Guided Tour of Machine Learning in Finance

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Guided Tour of Machine Learning in Finance

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Managing Machine Learning Models

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Managing Machine Learning Models

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Validate, Analyze, and Monitor ML Models

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Validate, Analyze, and Monitor ML Models

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Building and Optimizing AI Models

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Building and Optimizing AI Models

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Fundamentos de IA Aplicados ao CRM

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Fundamentos de IA Aplicados ao CRM

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Fundamental Linear Algebra Concepts with Python

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Fundamental Linear Algebra Concepts with Python

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📚 Coursera Course ↗

Structuring Machine Learning Projects

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Modeling Data in the Tidyverse

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Modeling Data in the Tidyverse

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Advanced CNNs, Transfer Learning, and Recurrent Networks

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Advanced CNNs, Transfer Learning, and Recurrent Networks

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Deploy & Optimize ML Services Confidently

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Deploy & Optimize ML Services Confidently

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