📐 ML Fundamentals

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

ML Fundamentals

Python Tutorial: Image classification with Keras

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial: Classifying images

DataCamp Beginner 5y ago

ML Fundamentals

Demystifying Data Mining - A Clear and Concise Explanation

What's AI by Louis-François Bouchard Beginner 5y ago

ML Fundamentals

How to Build A Data Science Portfolio That Can Get You Jobs?

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Q&A Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

This Neural Network Learned To Look Around In Real Scenes! (NERF)

Two Minute Papers Beginner 5y ago

ML Fundamentals

Neural Networks from Scratch - P.1 Intro and Neuron Code

sentdex Beginner 5y ago

ML Fundamentals

Pytorch Quick Tip: Using a Learning Rate Scheduler

Aladdin Persson Beginner 5y ago

ML Fundamentals

Computer Vision is Not Perfect

Data Skeptic Intermediate 5y ago

ML Fundamentals

10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show

Abhishek Thakur Intermediate 5y ago

ML Fundamentals

Optimization - Lecture 3 - CS50's Introduction to Artificial Intelligence with Python 2020

CS50 Beginner 5y ago

ML Fundamentals

Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020

CS50 Beginner 5y ago

ML Fundamentals

Pytorch Quick Tip: Weight Initialization

Aladdin Persson Beginner 5y ago

ML Fundamentals

3 key parts to Machine Learning monitoring

MLOps.community Intermediate 5y ago

ML Fundamentals

Auto retrain ML models is not the question

MLOps.community Intermediate 5y ago

ML Fundamentals

How to Transition Into Data Science: From Economics to Data Science

365 Data Science Beginner 5y ago

ML Fundamentals

Evaluating Time Series Models : Time Series Talk

ritvikmath Intermediate 5y ago

ML Fundamentals

Data Science Demystified - An Essential Introduction

What's AI by Louis-François Bouchard Beginner 5y ago

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Taming Kerberos - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

Python Tutorial : Data transforms, features, and targets

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial : Linear modeling with financial data

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial : Machine Learning for Finance in Python

DataCamp Beginner 5y ago

ML Fundamentals

R Tutorial : Network analysis in R: A tidy approach

DataCamp Beginner 5y ago

ML Fundamentals

PyTorch Tutorial : Backpropagation by auto-differentiation

DataCamp Beginner 5y ago

ML Fundamentals

PyTorch Tutorial : Introduction to PyTorch

DataCamp Beginner 5y ago

ML Fundamentals

PyTorch Tutorial : Introduction to Neural Networks

DataCamp Beginner 5y ago

ML Fundamentals

PyTorch Tutorial : Forward propagation

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial : Writing Efficient Python Code

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial : Introducing XGBoost

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial: Class distribution

DataCamp Beginner 5y ago

ML Fundamentals

How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone

Krish Naik Intermediate 5y ago

ML Fundamentals

Knowledge - Lecture 1 - CS50's Introduction to Artificial Intelligence with Python 2020

CS50 Beginner 5y ago

ML Fundamentals

Learning - Lecture 4 - CS50's Introduction to Artificial Intelligence with Python 2020

CS50 Beginner 5y ago

ML Fundamentals

Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020

CS50 Beginner 5y ago

ML Fundamentals

Developing a Machine Learning Feature Store

MLOps.community Intermediate 5y ago

ML Fundamentals

Evolution of the ML feature store @SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Doing ML with Personal Information

MLOps.community Intermediate 5y ago

ML Fundamentals

How do you handle ML version control at SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Hybrid Data Science Teams @SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Message buses, Async and sync architecture

MLOps.community Intermediate 5y ago

ML Fundamentals

ML Services Gateway at SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

ML Platforms - The build vs buy question

MLOps.community Intermediate 5y ago

ML Fundamentals

Pytorch Data Augmentation using Torchvision

Aladdin Persson Beginner 5y ago

ML Fundamentals

Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science

Krish Naik Beginner 5y ago

ML Fundamentals

Python Tutorial : When should I use XGBoost?

DataCamp Beginner 5y ago

ML Fundamentals

Pytorch Transfer Learning and Fine Tuning Tutorial

Aladdin Persson Beginner 5y ago

ML Fundamentals

How to build custom Datasets for Images in Pytorch

Aladdin Persson Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Production Machine Learning Systems - Español

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Self-paced

Google Cloud Product Fundamentals em Português Brasileiro

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📚 Coursera Course ↗

Self-paced

Introduction to On-Device AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

GenAI and Model Selection

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📚 Coursera Course ↗

Self-paced

Introduction to Machine Learning in Sports Analytics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

R Programming: Data Analysis and Modeling

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📚 Coursera Course ↗

Self-paced

Ethical Issues in Data Science

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📚 Coursera Course ↗

Self-paced

Predicting Extreme Climate Behavior with Machine Learning

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📚 Coursera Course ↗

Self-paced

DevOps and AI on AWS: AIOps

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Getting Started with Machine Learning at the Edge on Arm

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deep Learning & Modern AI Architectures

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📚 Coursera Course ↗

Self-paced

Linear Regression with Python

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📚 Coursera Course ↗

Self-paced

H2O Hydrogen Torch Starter Course

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📚 Coursera Course ↗

Self-paced

Master CNNs with Python: Build, Train & Evaluate Models

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📚 Coursera Course ↗

Self-paced

Introduction to Deep Learning & Neural Networks with Keras

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📚 Coursera Course ↗

Self-paced

Predict Baby Weight with TensorFlow on AI Platform

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📚 Coursera Course ↗

Self-paced

Pricing Options with Mathematical Models

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📚 Coursera Course ↗

Self-paced

Recommendation Systems on Google Cloud

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