📐 ML Fundamentals

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

ML Fundamentals

Pytorch Conditional GAN Tutorial

Aladdin Persson Beginner 5y ago

ML Fundamentals

Set a "random_state" to make your code reproducible

Data School Beginner 5y ago

ML Fundamentals

Ep#2 - What are regulations saying about data privacy?

MLOps.community Beginner 5y ago

ML Fundamentals

9.2 Holdout Evaluation (L09 Model Eval 2: Confidence Intervals)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

9.1 Introduction (L09 Model Eval 2: Confidence Intervals)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

TFIDF : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

How Deep Learning has Revolutionized OCR with Cha Zhang - #416

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

Charles Frye on using machine learning to multiply by one

Weights & Biases Intermediate 5y ago

ML Fundamentals

Chirag Agarwal on detecting out-of-distribution data with Variance-of-Gradient

Weights & Biases Advanced 5y ago

ML Fundamentals

Let's Build a Language Translator! LIVE

Siraj Raval Intermediate 5y ago

ML Fundamentals

Add a missing indicator to encode "missingness" as a feature

Data School Beginner 5y ago

ML Fundamentals

The ROC Curve : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

Flow Physics Quantification in an Aneurysm Using NVIDIA PhysicsNeMo

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Late Night Talks-Live Q&A-Ask Anything Related Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Saturday Live Q&A Ask Anything Related Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Chia liang Kao - Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub| JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Karla Spuldaro - Building AI Pipelines with Elyra | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

AIDEN physio assistant by Shivay Lamba - Made with TensorFlow.js

TensorFlow Intermediate 5y ago

ML Fundamentals

When Machine Learning meets privacy - Episode 1

MLOps.community Beginner 5y ago

ML Fundamentals

This Book will Help you Land a Data Science Job

Data Professor Beginner 5y ago

ML Fundamentals

How to Build Classification Models (Weka Tutorial #2)

Data Professor Beginner 5y ago

ML Fundamentals

WGAN implementation from scratch (with gradient penalty)

Aladdin Persson Beginner 5y ago

21:09

ML Fundamentals

Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn

Simplilearn Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S3E4 - Object Detection Inference

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Inside TensorFlow: TF NumPy

TensorFlow Intermediate 5y ago

ML Fundamentals

Backpropagation Details Pt. 2: Going bonkers with The Chain Rule

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135

Lex Fridman Beginner 5y ago

ML Fundamentals

⚡ Supercharge your Training with PyTorch Lightning + Weights & Biases

Weights & Biases Intermediate 5y ago

ML Fundamentals

Important Interview Questions On Convolution Neural Network- Deep Learning

Krish Naik Intermediate 5y ago

ML Fundamentals

Joe Spisak-Deep Learning Development with PyTorch+Jupyter using Heterogenous hardware|JupyterCon2020

JupyterCon Beginner 5y ago

ML Fundamentals

Praveen Kanamarlapud - Kernel Life Cycle Management | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Important Steps I Have Followed To Improve My Data Science Skills- Sharing My Experience

Krish Naik Beginner 5y ago

ML Fundamentals

8.5 Bias-Variance Decomposition of the 0/1 Loss (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Use Pipeline to chain together multiple steps

Data School Beginner 5y ago

ML Fundamentals

Why There Are So Many Start Ups In AI, ML And DL? Important For Everyone

Krish Naik Beginner 5y ago

ML Fundamentals

8.4 Bias and Variance vs Overfitting and Underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

8.3 Bias-Variance Decomposition of the Squared Error (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

8.2 Intuition behind bias and variance (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Curse of Dimensionality : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

8.1 Intro to overfitting and underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Devin Robison - Optimizing model performance | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers

Krish Naik Intermediate 5y ago

ML Fundamentals

Handle unknown categories with OneHotEncoder by encoding them as zeros

Data School Beginner 5y ago

ML Fundamentals

Thorin Tabor - Democratizing the accessibility of computational workflows | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus

Krish Naik Intermediate 5y ago

ML Fundamentals

DCGAN implementation from scratch

Aladdin Persson Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Build Image Quality Inspection using AWS Lookout for Vision

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Self-paced

Building Regression Models with Linear Algebra

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Self-paced

MLOps Tools: MLflow and Hugging Face

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📚 Coursera Course ↗

Self-paced

Deep Learning with PyTorch

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Self-paced

Create Image Captioning Models - Italiano

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Self-paced

Foundations of Statistical Learning & Algorithms

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Self-paced

Infraestrutura de IA: Cloud TPUs

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📚 Coursera Course ↗

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Identify Damaged Car Parts with Vertex AutoML Vision

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📚 Coursera Course ↗

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Statistics You Need to Know for Machine Learning

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📚 Coursera Course ↗

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Responsible AI: Applying AI Principles with GC - Français

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📚 Coursera Course ↗

Self-paced

How Entrepreneurs in Emerging Markets can master the Blockchain Technology

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📚 Coursera Course ↗

Self-paced

Training, Evaluating, and Monitoring Machine Learning Models

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📚 Coursera Course ↗

Self-paced

Data Engineering & Pipeline Reliability for Machine Learning

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📚 Coursera Course ↗

Self-paced

Information Extraction from Free Text Data in Health

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📚 Coursera Course ↗

Self-paced

Responsible AI: Applying AI Principles with Google Cloud - Deutsch

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📚 Coursera Course ↗

Self-paced

Advanced Java Concepts

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📚 Coursera Course ↗

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Scikit-Learn to Solve Regression Machine Learning Problems

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Self-paced

AI Engineer Explorer Course

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