📐 ML Fundamentals

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

ML Fundamentals

Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AI | Lex Fridman Podcast #221

Lex Fridman Beginner 4y ago

ML Fundamentals

Change of Basis : Data Science Basics

ritvikmath Beginner 4y ago

ML Fundamentals

Create an interactive diagram of a Pipeline in Jupyter

Data School Beginner 4y ago

ML Fundamentals

Hugging Face + Zapier Demo Video

HuggingFace Beginner 4y ago

ML Fundamentals

[Webinar] How to add machine learning capabilities with just a few lines of code

HuggingFace Beginner 4y ago

ML Fundamentals

How to build machine learning models for imbalanced datasets

Data Professor Beginner 4y ago

ML Fundamentals

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

MLOps.community Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 3. Train your first neural network

Weights & Biases Beginner 4y ago

ML Fundamentals

Create Slow Motion Videos With AI - 2021 Results Highlights #shorts

What's AI by Louis-François Bouchard Beginner 4y ago

ML Fundamentals

Los ROBOTS de BOSTON DYNAMICS no FUNCIONAN como TÚ CREES...

Dot CSV Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 7 : Model Deployment To GCP

codebasics Beginner 4y ago

ML Fundamentals

Calculus for ML - How much you should know to get started

Harshit Tyagi Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API

codebasics Beginner 4y ago

ML Fundamentals

Part 4- Developing UI To Select User image and displaying it in an Android app

Krish Naik Beginner 4y ago

ML Fundamentals

Machine Learning Explained in 100 Seconds

Fireship Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 14. ResNet

Weights & Biases Beginner 4y ago

ML Fundamentals

Most parameters should be passed as keyword arguments

Data School Beginner 4y ago

ML Fundamentals

DeepMind x UCL RL Lecture Series - Function Approximation [7/13]

Google DeepMind Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | Catalyst| Sergey Kolesnikov

PyTorch Beginner 4y ago

ML Fundamentals

Part 2- Creating and Running a Hello World app in Android Studio

Krish Naik Beginner 4y ago

ML Fundamentals

Running Simulations as a Data Scientist | Monte Carlo

CodeEmporium Beginner 4y ago

ML Fundamentals

Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning

1littlecoder Beginner 4y ago

ML Fundamentals

dabl - A Python library for AutoEDA and AutoML

Data Professor 2 Beginner 4y ago

ML Fundamentals

Data Science Podcast with Tyler Richards (Facebook Data Scientist)

Data Professor Beginner 4y ago

ML Fundamentals

How Machine Learning uses Linear Algebra to solve data problems

Harshit Tyagi Beginner 4y ago

ML Fundamentals

Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Splitting Datasets in Python With scikit-learn and train_test_split()

Real Python Beginner 4y ago

ML Fundamentals

This AI Helps Making A Music Video! 💃

Two Minute Papers Beginner 4y ago

ML Fundamentals

Reading the first 42 pages of my first novel (Charlie Walks) out loud

Daniel Bourke Beginner 4y ago

ML Fundamentals

Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE

Google for Developers Beginner 4y ago

ML Fundamentals

Machine Learning Course for Beginners

freeCodeCamp.org Beginner 4y ago

ML Fundamentals

Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215

Lex Fridman Beginner 4y ago

ML Fundamentals

Channel update: reflecting on why I make videos and thoughts on future videos

Aladdin Persson Beginner 4y ago

ML Fundamentals

Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts

Nicholas Renotte Beginner 4y ago

ML Fundamentals

W&B Tables: Explore Language Data

Weights & Biases Beginner 4y ago

ML Fundamentals

Don't use .values when passing a pandas object to scikit-learn

Data School Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch

Weights & Biases Beginner 4y ago

ML Fundamentals

Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place

Weights & Biases Beginner 4y ago

ML Fundamentals

Working through "What is torch.nn really?"

Weights & Biases Beginner 4y ago

ML Fundamentals

What is Cloud Computing In Layman Terms

Krish Naik Beginner 4y ago

ML Fundamentals

Deploy Weights & Biases On-prem with Terraform Cloud

Weights & Biases Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 13. Our first CNNs from scratch

Weights & Biases Beginner 4y ago

ML Fundamentals

How Would I Learn Data Science If I Want To Start Over?

Krish Naik Beginner 4y ago

ML Fundamentals

Add feature selection to a Pipeline

Data School Beginner 4y ago

ML Fundamentals

Building and deploying your first machine learning app in Python using Gradio

Data Professor Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch

Weights & Biases Beginner 4y ago

ML Fundamentals

Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)

codebasics Beginner 4y ago

ML Fundamentals

Gartner Hype Cycle Of Emerging Technologies 2021 Is Out

Krish Naik Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Machine Learning with PySpark

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deploy, Manage, and Orchestrate Your Models

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Application of AI, InsurTech, and Real Estate Technology

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Responsible AI: Applying AI Principles with GC - Português

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Exploratory Data Analysis for Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Pricing Options with Mathematical Models

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Calculus through Data & Modelling: Series and Integration

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning in the Enterprise

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS Certified AI Practitioner

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deploy and Scale AI Models with Cloud Run

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics of Light and Materials

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Responsible AI: Applying AI Principles with GC - Italiano

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning: Clustering & Retrieval

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Cloud Data Engineering

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Solution Architecture and Ethical AI Design

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Encoder-Decoder Architecture

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Building a Machine Learning Solution

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Practical Machine Learning without Coding

Opens on Coursera ↗