📐 ML Fundamentals

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

ML Fundamentals

L15.6 RNNs for Classification: A Many-to-One Word RNN

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Learner Spotlight: My Journey into AI

DeepLearningAI Intermediate 4y ago

ML Fundamentals

Do Neural Networks Think Like Our Brain? OpenAI Answers! 🧠

Two Minute Papers Beginner 4y ago

ML Fundamentals

adversarial.js: Break any neural network live in your browser - Made with TensorFlow.js

TensorFlow Intermediate 4y ago

ML Fundamentals

Mars rovers and machine learning with NASA JPL's Chris Mattmann

Weights & Biases Beginner 4y ago

ML Fundamentals

Production Inference Deployment with PyTorch

PyTorch Beginner 4y ago

ML Fundamentals

Training with PyTorch

PyTorch Beginner 4y ago

ML Fundamentals

7. Linear regression model in PyTorch

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization

Microsoft Research Advanced 4y ago

ML Fundamentals

Part of Speech Tagging : Natural Language Processing

ritvikmath Beginner 4y ago

ML Fundamentals

Difference Between fit(), transform(), fit_transform() and predict() methods in Scikit-Learn

Krish Naik Beginner 4y ago

ML Fundamentals

I Built An AI That Destroys Watermarks

Aladdin Persson Beginner 4y ago

ML Fundamentals

CLIP: El Ojo MÁS POTENTE de la INTELIGENCIA ARTIFICIAL!

Dot CSV Beginner 4y ago

ML Fundamentals

Model & Data Drift Deep Dive // Ben Wilson // MLOps Meetup Clips

MLOps.community Intermediate 4y ago

ML Fundamentals

TensorfFlow 2 Beginner Course (3 HOURS)

Patrick Loeber Beginner 4y ago

ML Fundamentals

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Yannic Kilcher Beginner 4y ago

ML Fundamentals

What Is Probation Period?General Q&A

Krish Naik Beginner 4y ago

ML Fundamentals

Tensorflow Object Detection in 5 Hours with Python | Full Course with 3 Projects

Nicholas Renotte Intermediate 4y ago

ML Fundamentals

L15.5 Long Short-Term Memory

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Chris Mattmann — ML Applications on Earth, Mars, and Beyond

Weights & Biases Beginner 4y ago

ML Fundamentals

Oxford AMLP - hybrid programme design Q&A session

Saïd Business School, University of Oxford Beginner 4y ago

ML Fundamentals

PHD in machine learning or data science, is it worth?

codebasics Beginner 4y ago

ML Fundamentals

When to add more complexity in your ML infrastructure? // Daniel Stahl // MLOps Meetup Clips

MLOps.community Beginner 4y ago

ML Fundamentals

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

Patrick Loeber Beginner 4y ago

ML Fundamentals

Code With Me : Building a Spam Filter !

ritvikmath Intermediate 4y ago

ML Fundamentals

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

Yannic Kilcher Beginner 4y ago

ML Fundamentals

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

TensorFlow Beginner 4y ago

ML Fundamentals

PyTorch TensorBoard Support

PyTorch Beginner 4y ago

ML Fundamentals

The Art Of Writing Resume For Data Science- Must For EveryOne

Krish Naik Beginner 4y ago

ML Fundamentals

Amazing Initiative For Kids- Ineuron K-12 Youtube Channel- Free Content #shorts

Krish Naik Intermediate 4y ago

ML Fundamentals

How To Handle 90 Days Notice Period With HR

Krish Naik Intermediate 4y ago

ML Fundamentals

Stats Interview Series #2-Asked In Interview

Krish Naik Intermediate 4y ago

ML Fundamentals

L15.4 Backpropagation Through Time Overview

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L15.3 Different Types of Sequence Modeling Tasks

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L15.2 Sequence Modeling with RNNs

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L15.1: Different Methods for Working With Text Data

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L15.0: Introduction to Recurrent Neural Networks -- Lecture Overview

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Statistics-Left Skewed And Right Skewed Distribution And Relation With Mean, Median And Mode

Krish Naik Beginner 4y ago

ML Fundamentals

Stats Interview Series #1- Asked In Interview

Krish Naik Beginner 4y ago

ML Fundamentals

Start-ups vs Enterprise OSS Strategy in Machine Learning Tooling // MLOps Clips with Sarah Catanzaro

MLOps.community Intermediate 4y ago

ML Fundamentals

Interview Question -Risks In Data Science Projects

Krish Naik Intermediate 4y ago

ML Fundamentals

L14.6.2 Transfer Learning in PyTorch -- Code Example

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L14.6.1 Transfer Learning

Sebastian Raschka Beginner 4y ago

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

Sebastian Raschka Beginner 4y ago

ML Fundamentals

L14.4.1 Replacing Max-Pooling with Convolutional Layers

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Shapash- Python Library To Make Machine Learning Interpretable

Krish Naik Beginner 4y ago

ML Fundamentals

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

MLOps.community Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Deep Neural Network for Beginners Using Python

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Getting Started with BigQuery Machine Learning

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Machine Learning in the Enterprise - Italiano

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Curso Completo de Deep Learning

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Machine Learning Pipelines with Azure ML Studio

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Unsupervised Machine Learning

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ML Concepts, Models & Workflow Essentials

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📚 Coursera Course ↗

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Calculus: Single Variable Part 4 - Applications

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📚 Coursera Course ↗

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Artificial Intelligence Privacy and Convenience

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Secure AI: Threat Model & Test Endpoints

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📚 Coursera Course ↗

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Cyber Security: Application of AI

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Machine Learning Models in Science

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Employee Attrition Prediction Using Machine Learning

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Secure AI Systems Across Lifecycle Stages

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📚 Coursera Course ↗

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Automate, Evaluate and Deploy ML Models Confidently

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📚 Coursera Course ↗

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Recommendation Systems on Google Cloud

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Visualizing Filters of a CNN using TensorFlow

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Deep Learning Frameworks and Neural Networks Simplified

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