📐 ML Fundamentals

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

ML Fundamentals

Getting started with Jetson Nano 2GB Developer Kit

NVIDIA Developer Beginner 5y ago

ML Fundamentals

6.2 Recursive algorithms & Big-O (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

6.1 Intro to Decision Trees (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Introduction to Object Detection in Deep Learning

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

Patrick Loeber Beginner 5y ago

ML Fundamentals

Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

DeepFindr Beginner 5y ago

ML Fundamentals

Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥

Krish Naik Beginner 5y ago

ML Fundamentals

MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey

MLOps.community Beginner 5y ago

ML Fundamentals

Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation

Krish Naik Beginner 5y ago

ML Fundamentals

Most underrated topics regarding deploying ML models in production?

MLOps.community Beginner 5y ago

ML Fundamentals

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

Patrick Loeber Beginner 5y ago

ML Fundamentals

Announcing Discord Server For Codebasics

codebasics Beginner 5y ago

ML Fundamentals

My GDE journey - Akshay Bahadur

Google for Developers Beginner 5y ago

ML Fundamentals

W&B Deep Learning Salon - Sara Hooker & Hannes Hapke

Weights & Biases Beginner 5y ago

ML Fundamentals

Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview

Coursera Beginner 5y ago

ML Fundamentals

Learn Deep Learning from NVIDIA

Data Professor Beginner 5y ago

ML Fundamentals

Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API

deeplizard Beginner 5y ago

ML Fundamentals

Summarize News Articles with Machine Learning in Python

NeuralNine Beginner 5y ago

ML Fundamentals

Ensembling, Blending & Stacking

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS

Nicholas Renotte Beginner 5y ago

ML Fundamentals

Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6

Elvis Saravia Beginner 5y ago

ML Fundamentals

Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Machine Learning Projects (Intermediate level) | 2021

Aleksa Gordić - The AI Epiphany Beginner 5y ago

ML Fundamentals

Biology to Data Science (data professor's tips on how to get a data science research position)

Tina Huang Beginner 5y ago

ML Fundamentals

Diary of A Wimpy Kid Awesome Friendly Adventure & The Deep End Cover Reveal

NPStation Beginner 5y ago

ML Fundamentals

Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

Data Science and Product Development | Tina Huang | 365 Data Use Cases

365 Data Science Beginner 5y ago

ML Fundamentals

Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)

codebasics Beginner 5y ago

ML Fundamentals

Enjoying the show - Gant Laborde - Made with TensorFlow.js

TensorFlow Beginner 5y ago

ML Fundamentals

Solar Lighting Example, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)

Patrick Loeber Beginner 5y ago

ML Fundamentals

Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold

Krish Naik Beginner 5y ago

ML Fundamentals

5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 02 - Tensor Basics - Beginner Course

Patrick Loeber Beginner 5y ago

ML Fundamentals

End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Exploring RapidMiner-Amazing Data Science Platform To Solve Machine Learning And DL Usecases

Krish Naik Beginner 5y ago

ML Fundamentals

Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

4.10 Matplotlib (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.9 NumPy Linear Algebra Basics (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.8 NumPy Comparison Operators and Masks (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Build A PyTorch Style Transfer Web App With Streamlit

Patrick Loeber Beginner 5y ago

ML Fundamentals

4.6 NumPy Random Number Generators (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Classify Images with TensorFlow Convolutional Neural Networks

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Modelos predictivos con aprendizaje automático

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Analyze Financial Risk Using AI, Markets, and Governance

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No-Code Machine Learning Using Amazon AWS SageMaker Canvas

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Advanced Linear Models for Data Science 2: Statistical Linear Models

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Matrix Algebra for Engineers

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Explainable AI: Scene Classification and GradCam Visualization

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Machine Learning in Retail

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Machine Learning Models in Science

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VLSI CAD Part II: Layout

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Probabilistic Graphical Models 1: Representation

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Fundamentals of Machine Learning

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Introduction to Embedded Machine Learning

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Building and Optimizing AI Models

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Microsoft Azure - Basics

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Introduction to Social Media Analytics

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K-Means Clustering 101: World Happiness Report

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Introduction to AI and Machine Learning

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