📐 ML Fundamentals

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

ML Fundamentals

PyTorch Tutorial 11 - Softmax and Cross Entropy

Patrick Loeber Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Machine Learning Tutorial #1 - What is Machine Learning?

NeuralNine Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

What is Deep Learning | Introduction to DL for beginners in a minute 3

What's AI by Louis-François Bouchard Beginner 6y ago

ML Fundamentals

Lex Fridman: Recipe for Progress in AI (Hard Work)

Lex Fridman Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Lex Fridman: Best Way to Understand the Mind is to Build It

Lex Fridman Beginner 6y ago

ML Fundamentals

Master of Computer Science/Master of Computer Science Data Science | University of Illinois Webinar

Coursera Beginner 6y ago

ML Fundamentals

Tutorial 6 :Deployment of Machine Learning Models in Google Cloud Platform

Krish Naik Beginner 6y ago

ML Fundamentals

Neural Networks from Scratch announcement

sentdex Beginner 6y ago

ML Fundamentals

What is Machine Learning? | Introduction to ML for beginners in a minute 2

What's AI by Louis-François Bouchard Beginner 6y ago

ML Fundamentals

Auto Sklearn Tutorial- Quickly Selecting Machine Learning Algorithm and HyperTuning It

Krish Naik Beginner 6y ago

ML Fundamentals

Tips N Tricks #2: Setting up development environment for machine learning

Abhishek Thakur Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

PyTorch Tutorial 10 - Dataset Transforms

Patrick Loeber Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Interpretability

Data Skeptic Beginner 6y ago

ML Fundamentals

Live 2020-01-06!!! Sample Sizes, ML vs Statistics and a Poem

StatQuest with Josh Starmer Beginner 6y ago

ML Fundamentals

Episode 2: A Cross Validation Framework

Abhishek Thakur Beginner 6y ago

ML Fundamentals

Meet your advisor Gwen 3

Coursera Beginner 6y ago

ML Fundamentals

Artificial Intelligence in 2020

Connor Shorten Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Deep Learning for Coders Study Group - Session #2

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Computer science in frontend development?

Fun Fun Function Beginner 6y ago

ML Fundamentals

Optimizing Neural Network Structures with Keras-Tuner

sentdex Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Erlang Programming Language - Computerphile

Computerphile Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Jumpstart Your ML Project

Data Skeptic Beginner 6y ago

ML Fundamentals

Best Free Books For Learning Data Science in 2020

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 32- Problems In Simple Recurrent Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 31- Back Propagation In Recurrent Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

PyTorch Tutorial 08 - Logistic Regression

Patrick Loeber Beginner 6y ago

ML Fundamentals

PyTorch Tutorial 07 - Linear Regression

Patrick Loeber Beginner 6y ago

ML Fundamentals

Tutorial 30- Recurrent Neural Network Forward Propogation With Time

Krish Naik Beginner 6y ago

ML Fundamentals

PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation

Patrick Loeber Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

PyTorch Tutorial 04 - Backpropagation - Theory With Example

Patrick Loeber Beginner 6y ago

ML Fundamentals

Episode 1.2: Building an inference for the machine learning framework

Abhishek Thakur Beginner 6y ago

ML Fundamentals

Episode 1.1: Intro and building a machine learning framework

Abhishek Thakur Beginner 6y ago

ML Fundamentals

Tutorial 29- Why Use Recurrent Neural Network and Its Application

Krish Naik Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

PyTorch Tutorial 03 - Gradient Calculation With Autograd

Patrick Loeber Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Deep Learning for Coders Study Group - Session #1

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

How to Know with Celeste Kidd - #330

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Using Deep Learning to Predict Wildfires with Feng Yan - #329

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Tutorial 27- Create CNN Model and Optimize using Keras Tuner- Deep Learning

Krish Naik Beginner 6y ago

ML Fundamentals

Should We Use Machine Learning or Deep Learning For Data Science Project?

Krish Naik Beginner 6y ago

ML Fundamentals

Machine Learning Project Vs Deep Learning Project

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 25- Data Augmentation In CNN-Deep Learning

Krish Naik Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

TWiML x Fast ai Deep Learning Part 2 Study Group - Lesson 17

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Rohit Prasad: Deep Learning is Not Enough to Solve Reasoning | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

PyTorch Tutorial 02 - Tensor Basics

Patrick Loeber Beginner 6y ago

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Machine Learning in Retail

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Oracle Cloud Infrastructure AI Foundations

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PyTorch: Fundamentals

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Predictive Analytics Project Ideation

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Specialized Models: Time Series and Survival Analysis

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Machine Learning and NLP Basics

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Math for AI Beginner Part 2 : Vector Calulus

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Machine Learning Models in Science

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Debug Neural Networks: Analyze Training Dynamics

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No-Code AI Foundations for Business Professionals

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Advanced Java Concepts

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GenAI and Model Selection

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Calculus through Data & Modelling: Integration Applications

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Deep Learning with PyTorch : GradCAM

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Applied Plotting, Charting & Data Representation in Python

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Grow Trees & Powerful Ensembles

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Reading and Writing Files

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Applied Machine Learning and Model Optimization

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