📐 ML Fundamentals

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

ML Fundamentals

TensorFlow.js Community "Show & Tell" #4

TensorFlow Beginner 5y ago

ML Fundamentals

Custom Handpose Gesture Detection with Tensorflow.Js and React.Js | Deep Learning Hand Tracking

Nicholas Renotte Beginner 5y ago

ML Fundamentals

W&B Deep Learning Salon

Weights & Biases Beginner 5y ago

ML Fundamentals

PCA explained with intuition, a little math and code

AI Coffee Break with Letitia Beginner 5y ago

ML Fundamentals

Diganta Mishra on smooth activations, robustness, and catastrophic forgetting

Weights & Biases Beginner 5y ago

ML Fundamentals

A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21

MLOps.community Beginner 5y ago

ML Fundamentals

Are Neural Networks Intelligent?

CodeEmporium Beginner 5y ago

ML Fundamentals

Overfitting, Underfitting And Data Leakage Explanation With Simple Example

Krish Naik Beginner 5y ago

ML Fundamentals

Deepmind's Alphafold2 Solves Protein Structures (Part 2) #shorts

Data Professor Beginner 5y ago

ML Fundamentals

Christmas GiveAway Osmo Coding Starter Kit!!! Enter To Win!!! ***CLOSED***

NPStation Beginner 5y ago

ML Fundamentals

Deepmind's Alphafold2 Solves Protein Structures (Part 1) #shorts

Data Professor Beginner 5y ago

ML Fundamentals

Deep Learning’s Most Important Ideas | Machine Learning Monthly November 2020

Daniel Bourke Beginner 5y ago

ML Fundamentals

Investing in Procurement Builds Resilience

Saïd Business School, University of Oxford Beginner 5y ago

ML Fundamentals

The opportunities with AI and machine learning

Microsoft Research Beginner 5y ago

ML Fundamentals

Ep#5 - The intersection between DataOps and privacy

MLOps.community Beginner 5y ago

ML Fundamentals

12.5 Extending Binary Metric to Multiclass Problems (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.4 Receiver Operating Characteristic (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Recent Efforts Towards Efficient And Scalable Neural Waveform Coding

Microsoft Research Beginner 5y ago

ML Fundamentals

AlphaFold2 - Quick Thoughts on 3D Spatial Graphs and Graph Neural Networks

Connor Shorten Beginner 5y ago

ML Fundamentals

Manolis Kellis: Meaning of Life, the Universe, and Everything | Lex Fridman Podcast #142

Lex Fridman Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Deploying Models with TensorRT

NVIDIA Developer Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Automatic Mixed Precision Training in PyTorch

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Big Data, Hadoop and Machine Learning Explained using Dams

Imaad Mohamed Khan Beginner 5y ago

ML Fundamentals

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)

Yannic Kilcher Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Windows edition #7: git for repository management

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Windows edition #6: pip for package management

Brandon Rohrer Beginner 5y ago

ML Fundamentals

How to get software engineering internship | How to get programming Job

codebasics Beginner 5y ago

ML Fundamentals

Credit Risk Modeling in Python Course

365 Data Science Beginner 5y ago

ML Fundamentals

10 things I'm grateful for this Thanksgiving

Lex Fridman Beginner 5y ago

ML Fundamentals

Solving Nintendo HireMe!!! with "Basic" Math

LiveOverflow Beginner 5y ago

ML Fundamentals

Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

codebasics Beginner 5y ago

ML Fundamentals

Private AI Education Series Announcement | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch/XLA Internal | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

12.3 Balanced Accuracy (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.2 Precision, Recall, and F1 Score (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.1 Confusion Matrix (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.0 Lecture Overview (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Introduction to Convolutional Neural Networks

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #7: Build repositories with git

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #6: Download packages with pip

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Level Up Your Data Science Skills #shorts

Data Professor Beginner 5y ago

ML Fundamentals

W&B Reports: Take notes, save snapshots, and collaborate on ML projects

Weights & Biases Beginner 5y ago

ML Fundamentals

Ep#4 - Are Privacy-enchancing technologies a myth?

MLOps.community Beginner 5y ago

ML Fundamentals

MLPerf & PyTorch | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

Model Interpretability | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch on Windows | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Machine Learning Essentials for Business and Technical Decision Makers

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Pre-Calculus

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Computer Vision Fundamentals with Google Cloud

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AI Fundamentals in Financial Services

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6G Vision: ML, Intelligent Surfaces & Optical Networks

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Preparing Images for AI Models

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Remote Sensing Image Acquisition, Analysis and Applications

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Tools for Data Science

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Applied Text Mining in Python

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Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

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Linear Regression with Python

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Responsible AI: Applying AI Principles with Google Cloud - Deutsch

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Reinforcement Learning in Finance

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Scikit-Learn For Machine Learning Classification Problems

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Physics of Light and Materials

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Practical Machine Learning

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Graphs and Networks

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Computer Vision with Embedded Machine Learning

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