📐 ML Fundamentals

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

ML Fundamentals

Finishing a Proc Macro - Live Stream

Tensor Programming Intermediate 5y ago

ML Fundamentals

2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

2.4 Big O of K-nearest neighbors (L02: Nearest Neighbor Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

MLOps Meetup #32 // Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Model Zoo

MLOps.community Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 17 - Complete TensorBoard Guide

Aladdin Persson Beginner 5y ago

ML Fundamentals

Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Time Series Talk : Augmented Dickey Fuller Test + Code

ritvikmath Advanced 5y ago

ML Fundamentals

Why Domain Knowledge Is Important In Data Science?

Krish Naik Intermediate 5y ago

ML Fundamentals

What is AutoML? A conversation with Gnosis Data Analysis

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

How To Train Deep Learning Models In Google Colab- Must For Everyone

Krish Naik Beginner 5y ago

ML Fundamentals

Real Time Pose Estimation with Tensorflow.Js and Javascript

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko

Abhishek Thakur Beginner 5y ago

ML Fundamentals

How to learn PyTorch? (3 easy steps) | 2021

Aleksa Gordić - The AI Epiphany Beginner 5y ago

ML Fundamentals

Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3

Elvis Saravia Beginner 5y ago

ML Fundamentals

Calculating Vector Norms - Linear Algebra for Data Science - IV

Harshit Tyagi Beginner 5y ago

ML Fundamentals

Hamming codes part 2: The one-line implementation

3Blue1Brown Intermediate 5y ago

ML Fundamentals

But what are Hamming codes? The origin of error correction

3Blue1Brown Beginner 5y ago

ML Fundamentals

What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)

Microsoft Research Advanced 5y ago

ML Fundamentals

Machine Learning Crash Course With ML.NET

Traversy Media Beginner 5y ago

ML Fundamentals

What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)

Microsoft Research Advanced 5y ago

ML Fundamentals

TensorFlow Quantum (Quantum Summer Symposium 2020)

TensorFlow Beginner 5y ago

ML Fundamentals

VAR Model in Python : Time Series Talk

ritvikmath Intermediate 5y ago

ML Fundamentals

PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets

Patrick Loeber Beginner 5y ago

ML Fundamentals

MobileNet Image Classification with TensorFlow's Keras API

deeplizard Beginner 5y ago

ML Fundamentals

Developing the next generation of UK Further Education leaders

Saïd Business School, University of Oxford Advanced 5y ago

ML Fundamentals

Suzana Ilić — Cultivating Machine Learning Communities

Weights & Biases Intermediate 5y ago

ML Fundamentals

March 28, 2019 - MCIT Online Admissions Webinar: Big Data with Prof. Sampath Kannan

Coursera Beginner 5y ago

ML Fundamentals

Deep Learning Design Patterns with Andrew Ferlitsch

Weights & Biases Beginner 5y ago

ML Fundamentals

Techfitlab Breaks Down Tesla Autopilot, AI, ML, and DL Complexities

What's AI by Louis-François Bouchard Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 16 - Custom Training Loops

Aladdin Persson Beginner 5y ago

ML Fundamentals

2.3 K-nearest neighbors (L02: Nearest Neighbor Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

2.2 Nearest neighbor decision boundary (L02: Nearest Neighbor Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

2.1 Introduction to NN (L02: Nearest Neighbor Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

1.6 ML motivation (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

1.5 ML application (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Live - Data Science Q&A And Upcoming Videos Plan

Krish Naik Intermediate 5y ago

ML Fundamentals

How important is programming and machine learning for a Data Analyst?

codebasics Beginner 5y ago

ML Fundamentals

Machine Learning And Deep Learning Model Deployment Architecture Using TF Lite In Mobile

Krish Naik Beginner 5y ago

ML Fundamentals

Special Thanks To Youtube - Happy Teacher's Day Youtube

Krish Naik Beginner 5y ago

ML Fundamentals

Machine Learning And Deep Learning Model Deployment Architecture Using API's

Krish Naik Beginner 5y ago

ML Fundamentals

Data Science Is Just Not About Model Building

Krish Naik Intermediate 5y ago

ML Fundamentals

1.1 Course overview (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

1.4 Notation (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

1.3 Categories of Machine Learning (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

1.2 What is Machine Learning (L01: What is Machine Learning)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Live -End To End Docker Implementation Of Data Science Projects

Krish Naik Intermediate 5y ago

ML Fundamentals

W&B Deep Learning Salon - Dylan Paiton & Andrew Ferlitsch

Weights & Biases Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Generative AI for Data Science

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Generative AI: Foundations and Concepts

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Ethical Issues in Data Science

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Self-paced

Titanic Survival Prediction Using Machine Learning

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Managing Machine Learning Projects

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Deploy and Optimize Cloud AI Architectures

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What is Product Lifecycle Management?

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Machine/Deep Learning for Mining Quality Prediction-Enhanced

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Secure AI Systems Across Lifecycle Stages

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Build Image Quality Inspection using AWS Lookout for Vision

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Machine Learning Essentials for Business and Technical Decision Makers

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📚 Coursera Course ↗

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Trees, SVM and Unsupervised Learning

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Custom Models, Layers, and Loss Functions with TensorFlow

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📚 Coursera Course ↗

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Diabetes Prediction With Pyspark MLLIB

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Deep-Dive into Tensorflow Activation Functions

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What are GPTs and How can they work for my business?

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Utiliser des notebooks dans Vertex AI

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Scikit-Learn to Solve Regression Machine Learning Problems

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