📐 ML Fundamentals

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

ML Fundamentals

Bernoulli distribution- Mean, Variance And Standard Deviation OF Bernoulli distribution

Krish Naik Intermediate 4y ago

ML Fundamentals ⚡ AI Lesson

Median, Mean, Mode, Percentile | Math, Statistics for data science, machine learning

codebasics Beginner 4y ago

ML Fundamentals

Build A Machine Learning Web App From Scratch

Patrick Loeber Beginner 4y ago

ML Fundamentals

Introduction To Statistics And Its Types For Starters

Krish Naik Beginner 4y ago

ML Fundamentals

MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37

MLOps.community Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Why Files Become Bigger in Emails - Computerphile

Computerphile Intermediate 4y ago

ML Fundamentals

GNN Project #1 - Introduction to HIV dataset

DeepFindr Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow for Deep Learning course Udemy launch Q&A (live)

Daniel Bourke Beginner 4y ago

ML Fundamentals

AutoML Frameworks Accuracy Comparison with Kaggle Data - Automated Machine Learning

1littlecoder Beginner 4y ago

ML Fundamentals

Polly Fordyce — Microfluidic Platforms and Machine Learning

Weights & Biases Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

What is machine learning lifecycle? | What is Model Development Life Cycle (MDLC)? MDLC vs SDLC

codebasics Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Explainable AI Cheat Sheet - Five Key Categories

Jay Alammar Beginner 4y ago

ML Fundamentals

Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition

Microsoft Research Advanced 4y ago

ML Fundamentals

Community Detection : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

W&B Deep Learning Salon - Pulkit Agrawal

Weights & Biases Beginner 5y ago

ML Fundamentals

Community Updates by Suraj Subramanian | PyTorch Ecosystem Day 2021

PyTorch Beginner 5y ago

ML Fundamentals

Disney's Creative Genome by Miquel Farré | PyTorch Ecosystem Day 2021

PyTorch Intermediate 5y ago

ML Fundamentals

L18.6: A DCGAN for Generating Face Images in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L18.5: Tips and Tricks to Make GANs Work

Sebastian Raschka Beginner 5y ago

ML Fundamentals

FastNeRF: High-Fidelity Neural Rendering at 200FPS [Condensed]

Microsoft Research Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Pandemic Machine Learning Pitfalls

Data Skeptic Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Decision and Classification Trees, Clearly Explained!!!

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Text Generation without Deep Learning - Markov Chain in Python

1littlecoder Beginner 5y ago

ML Fundamentals

Luigi in Production Part 2 // Luigi Patruno // MLOps Coffee Sessions #36

MLOps.community Beginner 5y ago

ML Fundamentals

Natural Language Processing (NLP) and Text Classification With Python

Real Python Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Advanced Developer Workloads with Built-In AI Acceleration

The New Stack Advanced 5y ago

ML Fundamentals ⚡ AI Lesson

Backpropagation : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

All Type Of Cross Validation With Python All In 1 Video

Krish Naik Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Applications of AI and PyTorch in Asia Pacific by Ritchie Ng | PyTorch Ecosystem Day 2021

PyTorch Beginner 5y ago

ML Fundamentals

Complete RoadMap Towards Data Analyst In 2021

Krish Naik Intermediate 5y ago

ML Fundamentals

Normal Distribution and Z Score | Math, Statistics for data science, machine learning

codebasics Beginner 5y ago

ML Fundamentals

Drawdata-Python Library To Draw Dataset In Jupyter Notebook

Krish Naik Beginner 5y ago

ML Fundamentals

Your GitHub story in 3D- View a 3D Model of your GitHub Contribution graph.

Krish Naik Intermediate 5y ago

ML Fundamentals

Sunday Live Q&A Ask Anything Related Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Autoviz-Automatically Visualize Any Dataset With Single Line Of Code

Krish Naik Intermediate 5y ago

ML Fundamentals

Detect Duplicate Images in Python with CNN using imagededup | Kaggle Notebook

1littlecoder Beginner 5y ago

ML Fundamentals

Who Are Data Scientists?

Krish Naik Intermediate 5y ago

ML Fundamentals

Deep Learning Interview Series #2- Asked In interview

Krish Naik Beginner 5y ago

ML Fundamentals

Train and Debug YOLOv5 Models with Weights & Biases Integration | YOLOv5 Series Part 0

Weights & Biases Beginner 5y ago

ML Fundamentals

L18.4: A GAN for Generating Handwritten Digits in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L18.3: Modifying the GAN Loss Function for Practical Use

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L18.2: The GAN Objective

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L18.1: The Main Idea Behind GANs

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L18.0: Introduction to Generative Adversarial Networks -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

Weights & Biases Beginner 5y ago

ML Fundamentals

Automating Web Scrapping Using AutoScraper Library

Krish Naik Intermediate 5y ago

ML Fundamentals

MLOps Community 1 Year Anniversary! // Meetup #59 clip

MLOps.community Beginner 5y ago

ML Fundamentals

L17.7 VAE Latent Space Arithmetic in PyTorch -- Making People Smile (Code Example)

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Mastering Python for Data Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Applied Math for Materials Science and Engineering

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI Applications in People Management

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Generative AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Tune HNSW

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Hands-On Data Science with PyTorch & Pandas

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

GPU Clusters & Containers

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Algorithms: Supervised Learning Tip to Tail

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Building a Trading Bot – Core Features and Data Integration

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

ML Pipelines on Google Cloud - Português

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Customer Segmentation with K-Means: Model & Visualize

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Unsupervised Text Classification for Marketing Analytics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Foundations

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Digital Marketing Tools: Machine Learning and AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

MongoDB Aggregation Framework

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Build a computer vision app with Azure Cognitive Services

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning with Implementation in Java

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning for Computer Vision

Opens on Coursera ↗