📐 ML Fundamentals

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

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

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

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

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

Weights & Biases 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

What is Cloud Computing In Layman Terms

Krish Naik 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

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

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

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

codebasics Beginner 4y ago

ML Fundamentals

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

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)

codebasics Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | PennyLane | Tom & Josh

PyTorch Beginner 4y ago

ML Fundamentals

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

MLOps.community Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Introduction to Statistics | 365 Data Science Courses

365 Data Science Beginner 4y ago

ML Fundamentals

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

1littlecoder Beginner 4y ago

ML Fundamentals

Robot Dogs: A Programmer's Best Friend

sentdex 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

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

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

Weights & Biases Beginner 4y ago

ML Fundamentals

Gartner Hype Cycle Of Emerging Technologies 2021 Is Out

Krish Naik Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 12. What is a convolution, really?

Weights & Biases Beginner 4y ago

ML Fundamentals

Use AUC to evaluate multiclass problems

Data School Beginner 4y ago

ML Fundamentals

Building a Simple Digits Image Classification Model

Data Professor Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend

codebasics Beginner 4y ago

ML Fundamentals

Shuffle your dataset when using cross_val_score

Data School Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 3 : Model Building

codebasics Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Affordable Machine Learning And Advance Deep Learning Course From iNeuron

Krish Naik Beginner 4y ago

ML Fundamentals

Kaggle 30 Days of ML (Day 18) - SHAP - Shapley Values - Interpretable Machine Learning - XAI

1littlecoder Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement

codebasics Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Modelos predictivos con aprendizaje automático

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Introduction to Image Generation - Français

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Introduction to Image Generation - Bahasa Indonesia

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NumPy, Matplotlib & Pandas – Data Science Prerequisites

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Pengantar AI dan Machine Learning di Google Cloud

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Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

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Data for Machine Learning

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R Programming: Data Analysis and Modeling

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Custom Models, Layers, and Loss Functions with TensorFlow

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Machine Learning in Healthcare: Fundamentals & Applications

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Web Applications and Command-Line Tools for Data Engineering

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Integral Calculus and Numerical Analysis for Data Science

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Satellite Remote Sensing Data Bootcamp With Opensource Tools

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Machine Learning for Computer Vision

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Deep learning in Electronic Health Records - CDSS 2

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AI-900 - Azure AI Fundamentals and Two Practice Tests

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AI & Quantum Computing – Zero to Expert Bootcamp

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No-Code Machine Learning Using Amazon AWS SageMaker Canvas

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