📐 ML Fundamentals

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

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How to save and load models in Pytorch

ML Fundamentals

How to save and load models in Pytorch

Aladdin Persson Intermediate 6y ago

My Recording Gears For Data Science Videos

ML Fundamentals

My Recording Gears For Data Science Videos

Krish Naik Intermediate 6y ago

Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]

ML Fundamentals

Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]

Sebastian Raschka Beginner 6y ago

AR Model Code Example : Time Series Talk

ML Fundamentals

AR Model Code Example : Time Series Talk

ritvikmath Advanced 6y ago

Pytorch GoogLeNet / InceptionNet implementation from scratch

ML Fundamentals

Pytorch GoogLeNet / InceptionNet implementation from scratch

Aladdin Persson Intermediate 6y ago

Paul Polman and Peter Tufano in Conversation [clip]

ML Fundamentals

Paul Polman and Peter Tufano in Conversation [clip]

Saïd Business School, University of Oxford Intermediate 6y ago

Rachael Tatman — Conversational AI and Linguistics

ML Fundamentals

Rachael Tatman — Conversational AI and Linguistics

Weights & Biases Beginner 6y ago

Why use GPU with Neural Networks?

ML Fundamentals

Why use GPU with Neural Networks?

CodeEmporium Beginner 6y ago

Ask a Machine Learning Engineer Anything (live) | April 2020

ML Fundamentals

Ask a Machine Learning Engineer Anything (live) | April 2020

Daniel Bourke Beginner 6y ago

What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20

ML Fundamentals

What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20

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

Why Domain Knowledge Is Important For Data Scientist?

ML Fundamentals

Why Domain Knowledge Is Important For Data Scientist?

Krish Naik Intermediate 6y ago

How to learn coding for beginners | Learn coding for free | learn coding from scratch

ML Fundamentals

How to learn coding for beginners | Learn coding for free | learn coding from scratch

codebasics Beginner 6y ago

Python Tutorial: Dive into Python

ML Fundamentals

Python Tutorial: Dive into Python

DataCamp Beginner 6y ago

Python Tutorial: Data distributions and transformations

ML Fundamentals

Python Tutorial: Data distributions and transformations

DataCamp Beginner 6y ago

Advance your career in Data Science with the IBM Data Science Professional Certificate

ML Fundamentals

Advance your career in Data Science with the IBM Data Science Professional Certificate

Coursera Beginner 6y ago

Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing

ML Fundamentals

Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing

Saïd Business School, University of Oxford Intermediate 6y ago

How Linear Algebra is not like Algebra with Charles Frye

ML Fundamentals

How Linear Algebra is not like Algebra with Charles Frye

Weights & Biases Advanced 6y ago

Inside TensorFlow: tf.data + tf.distribute

ML Fundamentals

Inside TensorFlow: tf.data + tf.distribute

TensorFlow Advanced 6y ago

Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]

ML Fundamentals

Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]

Sebastian Raschka Beginner 6y ago

What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19

ML Fundamentals

What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19

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

Accelerate models with TFLite Delegates (TF Dev Summit '20)

ML Fundamentals

Accelerate models with TFLite Delegates (TF Dev Summit '20)

TensorFlow Beginner 6y ago

Curried Functions - Computerphile

ML Fundamentals

Curried Functions - Computerphile

Computerphile Intermediate 6y ago

Secure and Private Deep Learning with PySyft - Democast #4

ML Fundamentals

Secure and Private Deep Learning with PySyft - Democast #4

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

Deep Learning Chatbot R&D

ML Fundamentals

Deep Learning Chatbot R&D

sentdex Beginner 6y ago

List Comprehension : Python Basics

ML Fundamentals

List Comprehension : Python Basics

ritvikmath Beginner 6y ago

Pytorch LeNet implementation from scratch

ML Fundamentals

Pytorch LeNet implementation from scratch

Aladdin Persson Advanced 6y ago

Pytorch CNN example (Convolutional Neural Network)

ML Fundamentals

Pytorch CNN example (Convolutional Neural Network)

Aladdin Persson Intermediate 6y ago

Pytorch Neural Network example

ML Fundamentals

Pytorch Neural Network example

Aladdin Persson Intermediate 6y ago

How Do I Learn Complex Topics In Machine Learning And Deep Learning?

ML Fundamentals

How Do I Learn Complex Topics In Machine Learning And Deep Learning?

Krish Naik Beginner 6y ago

Python Tutorial: Handling missing data

ML Fundamentals

Python Tutorial: Handling missing data

DataCamp Beginner 6y ago

Linear Regression Gradient Descent From Scratch in Python

ML Fundamentals

Linear Regression Gradient Descent From Scratch in Python

Aladdin Persson Beginner 6y ago

Derivation Linear Regression with Gradient Descent

ML Fundamentals

Derivation Linear Regression with Gradient Descent

Aladdin Persson Beginner 6y ago

Testing Machine Learning Models with Eric Schles

ML Fundamentals

Testing Machine Learning Models with Eric Schles

Weights & Biases Advanced 6y ago

VDLS Lavanya Product Walkthrough

ML Fundamentals

VDLS Lavanya Product Walkthrough

Weights & Biases Intermediate 6y ago

Applications of Machine Learning to COVID-19 Research with Isaac Godfried

ML Fundamentals

Applications of Machine Learning to COVID-19 Research with Isaac Godfried

Weights & Biases Beginner 6y ago

How can we build a more stable and just world after the covid-19 crisis? Paul Polman & Peter Tufano.

ML Fundamentals

How can we build a more stable and just world after the covid-19 crisis? Paul Polman & Peter Tufano.

Saïd Business School, University of Oxford Intermediate 6y ago

Layer-wise learning for quantum neural networks (TF Dev Summit '20)

ML Fundamentals

Layer-wise learning for quantum neural networks (TF Dev Summit '20)

TensorFlow Beginner 6y ago

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

ML Fundamentals

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

TensorFlow Advanced 6y ago

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

ML Fundamentals

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

TensorFlow Advanced 6y ago

ML Fundamentals

Saïd Business School, University of Oxford Beginner 6y ago

R Tutorial: Parameters vs hyperparameters

ML Fundamentals

R Tutorial: Parameters vs hyperparameters

DataCamp Beginner 6y ago

Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]

ML Fundamentals

Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]

Sebastian Raschka Beginner 6y ago

R Tutorial: Distance metrics

ML Fundamentals

R Tutorial: Distance metrics

DataCamp Beginner 6y ago

R Tutorial: Out-of-sample error measures

ML Fundamentals

R Tutorial: Out-of-sample error measures

DataCamp Beginner 6y ago

R Tutorial: Welcome to the Toolbox

ML Fundamentals

R Tutorial: Welcome to the Toolbox

DataCamp Beginner 6y ago

R Tutorial: Introduction to k-means clustering

ML Fundamentals

R Tutorial: Introduction to k-means clustering

DataCamp Beginner 6y ago

TensorFlow Lite for Microcontrollers (TF Dev Summit '20)

ML Fundamentals

TensorFlow Lite for Microcontrollers (TF Dev Summit '20)

TensorFlow Beginner 6y ago

Fairness Indicators for TensorFlow (TF Dev Summit '20)

ML Fundamentals

Fairness Indicators for TensorFlow (TF Dev Summit '20)

TensorFlow Beginner 6y ago

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Automate and Evaluate ML Pipeline Tests

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Automate and Evaluate ML Pipeline Tests

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DataPrep for H2O Driverless AI

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DataPrep for H2O Driverless AI

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Advanced Linear Models for Data Science 1: Least Squares

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Advanced Linear Models for Data Science 1: Least Squares

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Ethical Issues in Data Science

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Ethical Issues in Data Science

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Fundamentals of Deep Learning

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Fundamentals of Deep Learning

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Machine Learning and its Applications

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Machine Learning for Kyphosis Disease Classification

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Machine Learning for Kyphosis Disease Classification

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Introduction to Machine Learning in Sports Analytics

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Introduction to Machine Learning in Sports Analytics

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PyTorch: Techniques and Ecosystem Tools

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PyTorch: Techniques and Ecosystem Tools

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Machine Learning: an overview

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Machine Learning: an overview

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Introdução à IA e ao machine learning no Google Cloud

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Image Captioning with TensorFlow & Streamlit

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Image Captioning with TensorFlow & Streamlit

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Transfer Learning for NLP with TensorFlow Hub

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Transfer Learning for NLP with TensorFlow Hub

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AWS Certified AI Practitioner

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AWS Certified AI Practitioner

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Introduction to Generative AI - Italiano

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Introduction to Generative AI - Italiano

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Cloud Computing Foundations

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Machine Learning: Classification

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Machine Learning: Classification

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Developing Machine Learning Solutions

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Developing Machine Learning Solutions

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