Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” the maths behind AI

8502
lessons
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
๐Ÿ“ ML Fundamentals
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
Elvis Saravia Beginner 5y ago
Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
๐Ÿ“ ML Fundamentals
Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
Krish Naik Beginner 5y ago
DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
๐Ÿ“ ML Fundamentals
DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
What's AI by Louis-Franรงois Bouchard Beginner 5y ago
Mean Average Precision (mAP) Explained and PyTorch Implementation
๐Ÿ“ ML Fundamentals
Mean Average Precision (mAP) Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
Patrick Loeber Beginner 5y ago
Batch normalization
๐Ÿ“ ML Fundamentals
Batch normalization
Brandon Rohrer Beginner 5y ago
Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
๐Ÿ“ ML Fundamentals
Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
Non Max Suppression Explained and PyTorch Implementation
๐Ÿ“ ML Fundamentals
Non Max Suppression Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 07 - Functional API + Multi-output Project
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 07 - Functional API + Multi-output Project
Patrick Loeber Beginner 5y ago
6.3 Types of decision trees (L06: Decision Trees)
๐Ÿ“ ML Fundamentals
6.3 Types of decision trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
"AI & Machine Learning" Cybersecurity Conversation
๐Ÿ“ ML Fundamentals
"AI & Machine Learning" Cybersecurity Conversation
John Hammond Beginner 5y ago
Backwards Design
๐Ÿ“ ML Fundamentals
Backwards Design
Coursera Beginner 5y ago
Pedagogy Principles
๐Ÿ“ ML Fundamentals
Pedagogy Principles
Coursera Beginner 5y ago
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
๐Ÿ“ ML Fundamentals
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ritvikmath Beginner 5y ago
Getting started with Jetson Nano 2GB Developer Kit
๐Ÿ“ ML Fundamentals
Getting started with Jetson Nano 2GB Developer Kit
NVIDIA Developer Beginner 5y ago
6.2 Recursive algorithms & Big-O (L06: Decision Trees)
๐Ÿ“ ML Fundamentals
6.2 Recursive algorithms & Big-O (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit
๐Ÿ“ ML Fundamentals
Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit
DeepFindr Beginner 5y ago
Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
๐Ÿ“ ML Fundamentals
Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
Krish Naik Beginner 5y ago
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
๐Ÿ“ ML Fundamentals
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
MLOps.community Beginner 5y ago
Most underrated topics regarding deploying ML models in production?
๐Ÿ“ ML Fundamentals
Most underrated topics regarding deploying ML models in production?
MLOps.community Beginner 5y ago
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
๐Ÿ“ ML Fundamentals
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
๐Ÿ“ ML Fundamentals
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
Announcing Discord Server For Codebasics
๐Ÿ“ ML Fundamentals
Announcing Discord Server For Codebasics
codebasics Beginner 5y ago
My GDE journey - Akshay Bahadur
๐Ÿ“ ML Fundamentals
My GDE journey - Akshay Bahadur
Google for Developers Beginner 5y ago
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
๐Ÿ“ ML Fundamentals
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
Weights & Biases Beginner 5y ago
Learn Deep Learning from NVIDIA
๐Ÿ“ ML Fundamentals
Learn Deep Learning from NVIDIA
Data Professor Beginner 5y ago
Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
๐Ÿ“ ML Fundamentals
Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
deeplizard Beginner 5y ago
Summarize News Articles with Machine Learning in Python
๐Ÿ“ ML Fundamentals
Summarize News Articles with Machine Learning in Python
NeuralNine Beginner 5y ago
Ensembling, Blending & Stacking
๐Ÿ“ ML Fundamentals
Ensembling, Blending & Stacking
Abhishek Thakur Beginner 5y ago
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS
๐Ÿ“ ML Fundamentals
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS
Nicholas Renotte Beginner 5y ago
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
๐Ÿ“ ML Fundamentals
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
Elvis Saravia Beginner 5y ago
Intersection over Union Explained and PyTorch Implementation
๐Ÿ“ ML Fundamentals
Intersection over Union Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 06 - Save & Load Models
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 06 - Save & Load Models
Patrick Loeber Beginner 5y ago
6.1 Intro to Decision Trees (L06: Decision Trees)
๐Ÿ“ ML Fundamentals
6.1 Intro to Decision Trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
Introduction to Object Detection in Deep Learning
๐Ÿ“ ML Fundamentals
Introduction to Object Detection in Deep Learning
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
Patrick Loeber Beginner 5y ago
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
๐Ÿ“ ML Fundamentals
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
Krish Naik Beginner 5y ago
Solar Lighting Example, Exploring Fairness in Machine Learning
๐Ÿ“ ML Fundamentals
Solar Lighting Example, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
Patrick Loeber Beginner 5y ago
5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)
๐Ÿ“ ML Fundamentals
5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)
๐Ÿ“ ML Fundamentals
5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)
Patrick Loeber Beginner 5y ago
Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold
๐Ÿ“ ML Fundamentals
Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold
Krish Naik Beginner 5y ago
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview
๐Ÿ“ ML Fundamentals
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview
Coursera Beginner 5y ago
5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)
๐Ÿ“ ML Fundamentals
5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)
๐Ÿ“ ML Fundamentals
5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)
๐Ÿ“ ML Fundamentals
5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
๐Ÿ“ ML Fundamentals
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
Patrick Loeber Beginner 5y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
1 / 3 View all โ†’
AI Infrastructure: Cloud TPUs
๐Ÿ“š Coursera Course โ†—
Self-paced
AI Infrastructure: Cloud TPUs
Opens on Coursera โ†—
The Ultimate Hands-On Hadoop
๐Ÿ“š Coursera Course โ†—
Self-paced
The Ultimate Hands-On Hadoop
Opens on Coursera โ†—
Machine Learning Essentials
๐Ÿ“š Coursera Course โ†—
Self-paced
Machine Learning Essentials
Opens on Coursera โ†—
Matrix Algebra for Engineers
๐Ÿ“š Coursera Course โ†—
Self-paced
Matrix Algebra for Engineers
Opens on Coursera โ†—
Build a Machine Learning Image Classifier with Python
๐Ÿ“š Coursera Course โ†—
Self-paced
Build a Machine Learning Image Classifier with Python
Opens on Coursera โ†—
Snowflake for Data Science: Intro to Snowpark ML for Python
๐Ÿ“š Coursera Course โ†—
Self-paced
Snowflake for Data Science: Intro to Snowpark ML for Python
Opens on Coursera โ†—