📐 ML Fundamentals

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

ML Fundamentals

Overview - Deep Learning in Halite AI competition p.1

sentdex Beginner 7y ago

ML Fundamentals

What is Data Science? - What is the Cloud? by IBM #6

Coursera Beginner 7y ago

ML Fundamentals

What is Data Science? - Data Science Topics and Algorithms by IBM #5

Coursera Beginner 7y ago

ML Fundamentals

How do I select features for Machine Learning?

Data School Beginner 7y ago

ML Fundamentals

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

How to pick a machine learning model 5: Navigating assumptions

Brandon Rohrer Intermediate 7y ago

ML Fundamentals

How to pick a machine learning model 1: Choosing between models

Brandon Rohrer Intermediate 7y ago

ML Fundamentals

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

Unsupervised Machine Learning: Crash Course Statistics #37

CrashCourse Beginner 7y ago

ML Fundamentals

Why 5/3 is a fundamental constant for turbulence

3Blue1Brown Beginner 7y ago

ML Fundamentals

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7

CS50 Beginner 7y ago

ML Fundamentals

Infinite Data Structures: To Infinity & Beyond! - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Replay Memory Explained - Experience for Deep Q-Network Training

deeplizard Beginner 7y ago

ML Fundamentals

Detecting Fast Radio Bursts with Deep Learning

Data Skeptic Beginner 7y ago

ML Fundamentals

Supervised Machine Learning: Crash Course Statistics #36

CrashCourse Beginner 7y ago

ML Fundamentals

Making sense of the confusion matrix

Data School Beginner 7y ago

ML Fundamentals

PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI

deeplizard Advanced 7y ago

ML Fundamentals

Machine Learning Fundamentals: The Confusion Matrix

StatQuest with Josh Starmer Beginner 7y ago

ML Fundamentals

Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

TensorFlow Beginner 7y ago

ML Fundamentals

4. Autoencoders

Weights & Biases Beginner 7y ago

ML Fundamentals

Saving and Loading Models (Coding TensorFlow)

TensorFlow Advanced 7y ago

ML Fundamentals

Principal Component Analysis (PCA) - THE MATH YOU SHOULD KNOW!

CodeEmporium Intermediate 7y ago

ML Fundamentals

What is Python? Why Python is So Popular?

Programming with Mosh Beginner 7y ago

ML Fundamentals

Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4

Lex Fridman Beginner 7y ago

ML Fundamentals

Detecting Faces (Viola Jones Algorithm) - Computerphile

Computerphile Beginner 7y ago

ML Fundamentals

Future Politics | Jamie Susskind | Talks at Google

Talks at Google Beginner 7y ago

ML Fundamentals

Support Vector Machines - THE MATH YOU SHOULD KNOW

CodeEmporium Beginner 7y ago

ML Fundamentals

What is Data Science? - Advice for New Data Scientists by IBM #3

Coursera Beginner 7y ago

ML Fundamentals

What is Data Science - A day in the Life of a Data Scientist by IBM #4

Coursera Beginner 7y ago

ML Fundamentals

What is Data Science? - The Many Paths to Data Science by IBM #2

Coursera Beginner 7y ago

ML Fundamentals

What is Data Science? - Introduction by IBM #1

Coursera Beginner 7y ago

ML Fundamentals

IBM Blockchain Foundation for Developers - Why blockchain is relevant for business by IBM #3

Coursera Intermediate 7y ago

ML Fundamentals

IBM Blockchain Foundation for Developers - The Problem Area by IBM #2

Coursera Intermediate 7y ago

ML Fundamentals

IBM Blockchain Foundation for Developers - The business backdrop by IBM #1

Coursera Intermediate 7y ago

ML Fundamentals

How to pick a machine learning model 2: Separating signal from noise

Brandon Rohrer Intermediate 7y ago

ML Fundamentals

How to pick a machine learning model 3: Choosing a loss function

Brandon Rohrer Intermediate 7y ago

ML Fundamentals

How to pick a machine learning model 4: Splitting the data

Brandon Rohrer Intermediate 7y ago

ML Fundamentals

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

ASU Master of Computer Science Live Admissions Q&A

Coursera Intermediate 7y ago

ML Fundamentals

Deep Q-Learning - Combining Neural Networks and Reinforcement Learning

deeplizard Beginner 7y ago

ML Fundamentals

Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

CNN Image Preparation Code Project - Learn to Extract, Transform, Load (ETL)

deeplizard Beginner 7y ago

ML Fundamentals

AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192

The TWIML AI Podcast with Sam Charrington Intermediate 7y ago

ML Fundamentals

Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow)

TensorFlow Beginner 7y ago

ML Fundamentals

How convolutional neural networks work, in depth

Brandon Rohrer Beginner 7y ago

ML Fundamentals

Dataset for Deep Learning - Fashion MNIST

deeplizard Beginner 7y ago

ML Fundamentals

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

How optimization for machine learning works, part 4

Brandon Rohrer Intermediate 7y ago