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📐 ML Fundamentals

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

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DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
📐 ML Fundamentals
DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
What's AI by Louis-François Bouchard Beginner 5y ago
Mean Average Precision (mAP) Explained and PyTorch Implementation
📐 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
📐 ML Fundamentals
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
Patrick Loeber Beginner 5y ago
Batch normalization
📐 ML Fundamentals
Batch normalization
Brandon Rohrer Beginner 5y ago
Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
📐 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
📐 ML Fundamentals
Non Max Suppression Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 07 - Functional API + Multi-output Project
📐 ML Fundamentals
TensorFlow Tutorial 07 - Functional API + Multi-output Project
Patrick Loeber Beginner 5y ago
6.3 Types of decision trees (L06: Decision Trees)
📐 ML Fundamentals
6.3 Types of decision trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
"AI & Machine Learning" Cybersecurity Conversation
📐 ML Fundamentals
"AI & Machine Learning" Cybersecurity Conversation
John Hammond Beginner 5y ago
Backwards Design
📐 ML Fundamentals
Backwards Design
Coursera Beginner 5y ago
Pedagogy Principles
📐 ML Fundamentals
Pedagogy Principles
Coursera Beginner 5y ago
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
📐 ML Fundamentals
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ritvikmath Beginner 5y ago
Getting started with Jetson Nano 2GB Developer Kit
📐 ML Fundamentals
Getting started with Jetson Nano 2GB Developer Kit
NVIDIA Developer Beginner 5y ago
6.2 Recursive algorithms & Big-O (L06: Decision Trees)
📐 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
📐 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 🔥🔥🔥🔥
📐 ML Fundamentals
Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥
Krish Naik Beginner 5y ago
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
📐 ML Fundamentals
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
MLOps.community Beginner 5y ago
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
📐 ML Fundamentals
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
Krish Naik Beginner 5y ago
Most underrated topics regarding deploying ML models in production?
📐 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
📐 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
📐 ML Fundamentals
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
Announcing Discord Server For Codebasics
📐 ML Fundamentals
Announcing Discord Server For Codebasics
codebasics Beginner 5y ago
My GDE journey - Akshay Bahadur
📐 ML Fundamentals
My GDE journey - Akshay Bahadur
Google for Developers Beginner 5y ago
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
📐 ML Fundamentals
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
Weights & Biases Beginner 5y ago
Learn Deep Learning from NVIDIA
📐 ML Fundamentals
Learn Deep Learning from NVIDIA
Data Professor Beginner 5y ago
Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
📐 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
📐 ML Fundamentals
Summarize News Articles with Machine Learning in Python
NeuralNine Beginner 5y ago
Ensembling, Blending & Stacking
📐 ML Fundamentals
Ensembling, Blending & Stacking
Abhishek Thakur Beginner 5y ago
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS
📐 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
📐 ML Fundamentals
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
Elvis Saravia Beginner 5y ago
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
📐 ML Fundamentals
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
Abhishek Thakur Beginner 5y ago
Machine Learning Projects (Intermediate level) | 2021
📐 ML Fundamentals
Machine Learning Projects (Intermediate level) | 2021
Aleksa Gordić - The AI Epiphany Beginner 5y ago
Intersection over Union Explained and PyTorch Implementation
📐 ML Fundamentals
Intersection over Union Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 06 - Save & Load Models
📐 ML Fundamentals
TensorFlow Tutorial 06 - Save & Load Models
Patrick Loeber Beginner 5y ago
6.1 Intro to Decision Trees (L06: Decision Trees)
📐 ML Fundamentals
6.1 Intro to Decision Trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
Introduction to Object Detection in Deep Learning
📐 ML Fundamentals
Introduction to Object Detection in Deep Learning
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
📐 ML Fundamentals
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
Patrick Loeber Beginner 5y ago
Solar Lighting Example, Exploring Fairness in Machine Learning
📐 ML Fundamentals
Solar Lighting Example, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
📐 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)
📐 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)
📐 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)
📐 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
📐 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
📐 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)
📐 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)
📐 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)
📐 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
📐 ML Fundamentals
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
Patrick Loeber Beginner 5y ago
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Using Machine Learning in Trading and Finance
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Using Machine Learning in Trading and Finance
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Discrete Math for Computer Science - Counting & Probability
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Discrete Math for Computer Science - Counting & Probability
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Responsible Innovation and Trustworthy AI
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Responsible Innovation and Trustworthy AI
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Classify Images with TensorFlow Convolutional Neural Networks
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Classify Images with TensorFlow Convolutional Neural Networks
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Explainable deep learning models for healthcare - CDSS 3
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Explainable deep learning models for healthcare - CDSS 3
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Analysis of Algorithms
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Analysis of Algorithms
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