📐 ML Fundamentals

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

ML Fundamentals

Self Driving Cars and Pedestrians

Data Skeptic Beginner 5y ago

ML Fundamentals

This AI Learned to Summarize Videos 🎥

Two Minute Papers Beginner 5y ago

ML Fundamentals

Shortcut Learning in Deep Neural Networks

Yannic Kilcher Intermediate 5y ago

ML Fundamentals

Python Tutorial : Constants and variables

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial : Advanced operations

DataCamp Beginner 5y ago

ML Fundamentals

Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science

Krish Naik Beginner 5y ago

ML Fundamentals

Who has the highest standards in ML?

MLOps.community Intermediate 5y ago

ML Fundamentals

Resume driven development in Machine learning & software engineering

MLOps.community Beginner 5y ago

ML Fundamentals

Advanced Theory | Neural Style Transfer #4

Aleksa Gordić - The AI Epiphany Advanced 5y ago

ML Fundamentals

Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously

Abhishek Thakur Intermediate 5y ago

ML Fundamentals

Sharing My Experience- How Teaching Has Improved My Data Science Skills

Krish Naik Intermediate 5y ago

ML Fundamentals

Pytorch TensorBoard Tutorial

Aladdin Persson Beginner 5y ago

ML Fundamentals

Neural Networks from Scratch - P.2 Coding a Layer

sentdex Beginner 5y ago

ML Fundamentals

Neural Networks Simply Explained (Theory)

NeuralNine Beginner 5y ago

ML Fundamentals

Covid-19 and the Oxford Scenario Planning Approach

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye

Weights & Biases Beginner 5y ago

ML Fundamentals

Sequence Models with Pujaa Rajan

Weights & Biases Beginner 5y ago

ML Fundamentals

How to Transition into Data Science: from Computer Science to Data Science

365 Data Science Beginner 5y ago

ML Fundamentals

Inside TensorFlow: TF Debugging

TensorFlow Intermediate 5y ago

ML Fundamentals

Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Decoding Logistic Regression - A Simple and Comprehensive Explanation

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

ML Fundamentals

TCP Meltdown - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

How deep learning can detect cancerous tissue (AI For Medicine)

DeepLearningAI Beginner 5y ago

ML Fundamentals

Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Pytorch ResNet implementation from Scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

PyTorch Tutorial 17 - Saving and Loading Models

Patrick Loeber Beginner 5y ago

ML Fundamentals

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Yannic Kilcher Advanced 5y ago

ML Fundamentals

Dictionaries : Python Basics

ritvikmath Beginner 5y ago

ML Fundamentals

R Tutorial: Introduction to feature engineering in R

DataCamp Beginner 5y ago

ML Fundamentals

Swiss Cheese model in Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

Survivorship Bias in machine learning tutorials

MLOps.community Intermediate 5y ago

ML Fundamentals

Learning from real life Machine Learning failures

MLOps.community Beginner 5y ago

ML Fundamentals

Humans in the Loop are a defining factor in Machine Learning

MLOps.community Intermediate 5y ago

ML Fundamentals

Current State Of Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

Specific challenges in Machine Learning

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps: Airflow Pros and Cons

MLOps.community Intermediate 5y ago

ML Fundamentals

Scala Tutorial: A scalable language

DataCamp Beginner 5y ago

ML Fundamentals

R Tutorial: Machine Learning with Tree-Based Models | Intro

DataCamp Beginner 5y ago

ML Fundamentals

R Tutorial: Evaluating classification model performance

DataCamp Beginner 5y ago

ML Fundamentals

R Tutorial: Introduction to classification trees

DataCamp Beginner 5y ago

ML Fundamentals

MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali

MLOps.community Beginner 5y ago

ML Fundamentals

Theory: Applications of Data Science

DataCamp Intermediate 5y ago

ML Fundamentals

Automate LifeCycle Of Data Science Projects By Using This Open Source Library

Krish Naik Beginner 5y ago

ML Fundamentals

R Tutorial: Nonlinear Modeling in R with GAMs | Intro

DataCamp Beginner 5y ago

ML Fundamentals

Teachable Machine By Google- Train Your Model With Ease

Krish Naik Beginner 5y ago

ML Fundamentals

Python Tutorial: Introducing convolutional neural networks

DataCamp Beginner 5y ago

ML Fundamentals

Python Tutorial: Image classification with Keras

DataCamp Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Digital Signal Processing 4: Applications

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Integral Calculus & The Fundamental Theorem

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advancing Your Career in AI and Machine Learning Engineering

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Predictive Analytics Model for Term Deposit Investment

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Foundations of Quantum Mechanics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Production Machine Learning Systems - Português Brasileiro

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Deep Learning - Recurrent Neural Networks with TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Foundations of Machine Learning with Azure

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Pipelines with Azure ML Studio

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Natural Language Processing - Deep Learning Models in Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Linear Algebra for Machine Learning & AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Securing AI Systems

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Big Data, Artificial Intelligence, and Ethics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Open Source Programming - Master's

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Natural Language Processing in TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Building and Optimizing AI Models

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Modeling, Transformation, and Serving

Opens on Coursera ↗