📐 ML Fundamentals

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

📐 ML Fundamentals

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📐 ML Fundamentals

How Neural Networks Can Be Hacked (And What You Should Do To Protect It)!

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Stats Interview Series #1- Asked In Interview

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📐 ML Fundamentals

PAIR AI Explorables | Is the problem in the data? Examples on Fairness, Diversity, and Bias.

Yannic Kilcher Beginner 4y ago

📐 ML Fundamentals

L14.6.2 Transfer Learning in PyTorch -- Code Example

Sebastian Raschka Beginner 4y ago

📐 ML Fundamentals

ml5.js: Creative coding with ML for all - Made with TensorFlow.js

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📐 ML Fundamentals

L14.6.1 Transfer Learning

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📐 ML Fundamentals

Shapash- Python Library To Make Machine Learning Interpretable

Krish Naik Beginner 4y ago

📐 ML Fundamentals

MLOps Investments // Sarah Catanzaro // Coffee Session #33

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📐 ML Fundamentals

Kmeans-based Blink Detecter DEMO

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📐 ML Fundamentals

6. Dataloader in PyTorch

Abhishek Thakur Beginner 4y ago

📐 ML Fundamentals

5. Dataset class for simple image / vision problems

Abhishek Thakur Beginner 4y ago

📐 ML Fundamentals

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📐 ML Fundamentals

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📐 ML Fundamentals

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Building a Neural Network and How to Write Tests in Python | Real Python Podcast #54

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📐 ML Fundamentals

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📐 ML Fundamentals

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📐 ML Fundamentals

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📐 ML Fundamentals

L14.5 Convolutional Instead of Fully Connected Layers

Sebastian Raschka Beginner 4y ago

📐 ML Fundamentals

L14.4.2 All-Convolutional Network in PyTorch -- Code Example

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📐 ML Fundamentals

L14.4.1 Replacing Max-Pooling with Convolutional Layers

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📐 ML Fundamentals

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Krish Naik Beginner 4y ago

📐 ML Fundamentals

4. Dataset class for simple NLP problems

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📐 ML Fundamentals

3. The dataset class in PyTorch

Abhishek Thakur Beginner 4y ago

📐 ML Fundamentals

2. PyTorch Autograd

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📐 ML Fundamentals

1. Tensors in PyTorch

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📐 ML Fundamentals

Deployment Of ML Models Using PyWebIO And Flask

Krish Naik Beginner 4y ago

📐 ML Fundamentals

What Is P Value In Statistics In Simple Language?

Krish Naik Beginner 4y ago

📐 ML Fundamentals

Creating BMI Calculator Web APP Using Python And PyWebIO

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You Don't Require A Master's Or Phd To Become Citizen Data Scientist #shorts

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📐 ML Fundamentals

PyWebIO- Creating WebAPP Using Python Without Using HTML And JS

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📐 ML Fundamentals

Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning

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📐 ML Fundamentals

L14.3.2.2 ResNet-34 in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

📐 ML Fundamentals

L14.3.2.1 ResNet Overview

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📐 ML Fundamentals

L14.3.1.2 VGG16 in PyTorch -- Code Example

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📐 ML Fundamentals

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📐 ML Fundamentals

L14.2: Spatial Dropout and BatchNorm

Sebastian Raschka Beginner 5y ago

📐 ML Fundamentals

L14.1: Convolutions and Padding

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📐 ML Fundamentals

L14.0: Convolutional Neural Networks Architectures -- Lecture Overview

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📐 ML Fundamentals

Part 3-Model Creation-Audio Classification Project Using Deep Learning

Krish Naik Beginner 5y ago

📐 ML Fundamentals

Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning

Krish Naik Beginner 5y ago

📐 ML Fundamentals

Part 1-EDA-Audio Classification Project Using Deep Learning

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📐 ML Fundamentals

March 30th- Live Virtual Mock Interview From Mechanical To Data Scientist

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📚 Coursera Courses Opens on Coursera · Free to audit

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Reinforcement Learning for Trading Strategies

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Introduction to Generative AI - Deutsch

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Fundamentals of Machine Learning in Finance

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Deep Learning and Reinforcement Learning

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Deploy and Scale AI Models with Cloud Run

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Introduction to Neural Networks and PyTorch

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Data Mining in Python

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Python Fundamentals: Apply Data Structures

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Geometric Algorithms

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Essential Causal Inference Techniques for Data Science

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Building a Large-Scale, Automated Forecasting System

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Clinical Decision Support Systems - CDSS 4

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AI For Everyone

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Natural Language Processing - Deep Learning Models in Python

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Fundamentals of Machine Learning

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Computational Social Science Capstone Project

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Amazon Kinesis Video Streams - Getting Started

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Auto Machine Learning (AutoML) Using AutoGluon

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