📐 ML Fundamentals

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

ML Fundamentals

My GDE journey - Akshay Bahadur

Google for Developers Beginner 5y ago

ML Fundamentals

Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

Weights & Biases Intermediate 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

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

MLOps Meetup #35 // Bring Your On-Prem ML Use Cases to Production on Google Cloud using Kubeflow

MLOps.community Intermediate 5y ago

ML Fundamentals

Moran's I : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

Learn Deep Learning from NVIDIA

Data Professor Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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

deeplizard 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 ⚡ AI Lesson

Summarize News Articles with Machine Learning in Python

NeuralNine Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Ensembling, Blending & Stacking

Abhishek Thakur Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 02 - Tensor Basics - Beginner Course

Patrick Loeber Beginner 5y ago

ML Fundamentals

Data Science Myths Vs Reality Explained- Sharing My Experience- Must Watch For Everyone🔥🔥🔥🔥

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

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 ⚡ AI Lesson

Machine Learning Projects (Intermediate level) | 2021

Aleksa Gordić - The AI Epiphany Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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 ⚡ AI Lesson

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

Dive into Deep Learning (Study Group): Deep Learning Computation with PyTorch | Session 5

Elvis Saravia Intermediate 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 ⚡ AI Lesson

Building A Camera Classifier in Python

NeuralNine Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

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

TensorFlow Beginner 5y ago

ML Fundamentals

Multi-Armed Bandit : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

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

codebasics Beginner 5y ago

ML Fundamentals

Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants

DeepFindr Advanced 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

Interview Prep Day 4-How To Learn Machine Learning Algorithms For Interviews- Decision Trees🔥🔥

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

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

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

ML Fundamentals

4.7 Reshaping NumPy Arrays (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Final Year Student To Deep Learning Engineer Internship- Transition Story- Must For Freshers

Krish Naik Beginner 5y ago

ML Fundamentals

Interview Prep Day 1-How To Learn Machine Learning Algorithms For Interviews- Naive Bayes Classifier

Krish Naik Intermediate 5y ago

ML Fundamentals

4.3 NumPy Array Math and Universal Functions (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.5 NumPy Advanced Indexing -- Memory Views and Copies (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.4 NumPy Broadcasting (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.2 NumPy Array Construction and Indexing (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

4.1 Intro to NumPy (L04: Scientific Computing in Python)

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Data Augmented Technology Assisted Medical Decision Making

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Machine Learning Essentials

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Trees, SVM and Unsupervised Learning

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Optimize and Benchmark AI Algorithms for Speed

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Deep Learning with PyTorch : Siamese Network

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Motion Planning for Self-Driving Cars

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BigQuery Machine Learning für Inferenzen nutzen

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Linear Regression with R: Build & Optimize

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Calculus for Machine Learning and Data Science

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TensorFlow: Build & Deploy Face Mask Detection

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Introduction to Medical Software

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Responsible AI: Applying AI Principles with GC - Português

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Fundamental Linear Algebra Concepts with Python

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Encoder-Decoder Architecture - Français

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Data Prep for Machine Learning in Python

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Machine Learning Using SAS Viya

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DP-100 Microsoft Azure DS Exam

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Applied Text Mining in Python

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