📐 ML Fundamentals

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

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What do Computer Scientists Read? - Computerphile

ML Fundamentals

What do Computer Scientists Read? - Computerphile

Computerphile Intermediate 3y ago

Geospatial Machine Learning with Kumar Chellapilla - 607

ML Fundamentals

Geospatial Machine Learning with Kumar Chellapilla - 607

The TWIML AI Podcast with Sam Charrington Intermediate 3y ago

Using W&B Tables and Reports for Enhanced EDA in MLOps

ML Fundamentals

Using W&B Tables and Reports for Enhanced EDA in MLOps

Weights & Biases Intermediate 3y ago

FastAPI for Machine Learning: Live coding an ML web application.

ML Fundamentals

FastAPI for Machine Learning: Live coding an ML web application.

DeepLearningAI Intermediate 3y ago

Fireside Chat #8: Navigating the Full Stack of Machine Learning

ML Fundamentals

Fireside Chat #8: Navigating the Full Stack of Machine Learning

Outerbounds Intermediate 3y ago

Masterclass: Servitization - Selling products through services | Indian School of Business

ML Fundamentals

Masterclass: Servitization - Selling products through services | Indian School of Business

Coursera Intermediate 3y ago

Rosanne Liu - career creation for non-standard candidates

ML Fundamentals

Rosanne Liu - career creation for non-standard candidates

Cohere Intermediate 3y ago

Building Cohere API Demo App With Streamlit | Adrien Morisot

ML Fundamentals

Building Cohere API Demo App With Streamlit | Adrien Morisot

Cohere Intermediate 3y ago

On the Adversarial Robustness of Deep Learning

ML Fundamentals

On the Adversarial Robustness of Deep Learning

Microsoft Research Intermediate 3y ago

Building drones to restore deforestation

ML Fundamentals

Building drones to restore deforestation

Google for Developers Intermediate 3y ago

#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

ML Fundamentals

#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

DeepLearningAI Intermediate 3y ago

Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent

ML Fundamentals

Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent

Stanford Online Intermediate 3y ago

How to Assemble a Deep Learning Machine - Full Process | Part 2

ML Fundamentals

How to Assemble a Deep Learning Machine - Full Process | Part 2

Aleksa Gordić - The AI Epiphany Intermediate 3y ago

Engineering Production NLP Systems at T-Mobile - 600

ML Fundamentals

Engineering Production NLP Systems at T-Mobile - 600

The TWIML AI Podcast with Sam Charrington Intermediate 3y ago

Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch

ML Fundamentals

Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch

Outerbounds Intermediate 3y ago

The RS-232 protocol

ML Fundamentals

The RS-232 protocol

Ben Eater Intermediate 3y ago

Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google

ML Fundamentals

Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google

Talks at Google Intermediate 3y ago

Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks

ML Fundamentals

Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya

ML Fundamentals

Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya

Analytics Vidhya Intermediate 3y ago

Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker

ML Fundamentals

Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker

AWS Developers Intermediate 3y ago

Markov Decision Processes - Computerphile

ML Fundamentals

Markov Decision Processes - Computerphile

Computerphile Intermediate 3y ago

Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm

ML Fundamentals

Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm

Krish Naik Intermediate 3y ago

An Integration Conundrum - Numberphile

ML Fundamentals

An Integration Conundrum - Numberphile

Numberphile Intermediate 3y ago

Transforming Lives | Data Science Immersive Bootcamp

ML Fundamentals

Transforming Lives | Data Science Immersive Bootcamp

Analytics Vidhya Intermediate 3y ago

#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

ML Fundamentals

#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

DeepLearningAI Intermediate 3y ago

#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

ML Fundamentals

#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

DeepLearningAI Intermediate 3y ago

#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

ML Fundamentals

#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

DeepLearningAI Intermediate 3y ago

#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

ML Fundamentals

#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]

DeepLearningAI Intermediate 3y ago

#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]

ML Fundamentals

#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]

DeepLearningAI Intermediate 3y ago

#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

ML Fundamentals

#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

DeepLearningAI Intermediate 3y ago

#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]

ML Fundamentals

#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]

DeepLearningAI Intermediate 3y ago

How to Build a Real-World AI Project Portfolio

ML Fundamentals

How to Build a Real-World AI Project Portfolio

DeepLearningAI Intermediate 3y ago

Branching out of the Notebook: ML Application Development with GitHub

ML Fundamentals

Branching out of the Notebook: ML Application Development with GitHub

DeepLearningAI Intermediate 3y ago

The 3 factors that Determine the success of ML projects

ML Fundamentals

The 3 factors that Determine the success of ML projects

Outerbounds Intermediate 3y ago

Is the premise of data-centric AI flawed?

ML Fundamentals

Is the premise of data-centric AI flawed?

Outerbounds Intermediate 3y ago

The 4 main tasks in the production ML lifecycle

ML Fundamentals

The 4 main tasks in the production ML lifecycle

Outerbounds Intermediate 3y ago

What even is a 10x ML engineer?

ML Fundamentals

What even is a 10x ML engineer?

Outerbounds Intermediate 3y ago

Why data scientists love and hate notebooks: velocity and validation

ML Fundamentals

Why data scientists love and hate notebooks: velocity and validation

Outerbounds Intermediate 3y ago

ML engineering vs traditional software engineering: similarities and differences

ML Fundamentals

ML engineering vs traditional software engineering: similarities and differences

Outerbounds Intermediate 3y ago

Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk

ML Fundamentals

Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk

AWS Developers Intermediate 3y ago

Smart Manufacturing Episode #3: How Machine Learning and IIoT Improve OEE - AWS Online Tech Talks

ML Fundamentals

Smart Manufacturing Episode #3: How Machine Learning and IIoT Improve OEE - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks

ML Fundamentals

Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

Uses of Information Theory - Computerphile

ML Fundamentals

Uses of Information Theory - Computerphile

Computerphile Intermediate 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Cluster Analysis and Unsupervised Machine Learning in Python

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Cluster Analysis and Unsupervised Machine Learning in Python

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Prepare for DP-100: Data Science on Microsoft Azure Exam

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Prepare for DP-100: Data Science on Microsoft Azure Exam

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Training AI with Humans

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Training AI with Humans

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Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

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Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

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Cómo utilizar BigQuery ML para ejecutar inferencias

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CNNs with TensorFlow: Basics of Machine Learning

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CNNs with TensorFlow: Basics of Machine Learning

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Mastering Neural Networks and Model Regularization

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Mastering Neural Networks and Model Regularization

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Applied Calculus with Python

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Applied Calculus with Python

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Building Regression Models with Linear Algebra

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Building Regression Models with Linear Algebra

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Responsible AI: Applying AI Principles with GC - Français

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Excel: Apply & Evaluate Unsupervised Clustering

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Excel: Apply & Evaluate Unsupervised Clustering

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Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

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Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

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Fake News Detection with Machine Learning

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Fake News Detection with Machine Learning

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Machine Learning in Production

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Machine Learning in Production

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Regression Analysis for Statistics & Machine Learning in R

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Regression Analysis for Statistics & Machine Learning in R

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Introduction to Applied Machine Learning

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Introduction to Applied Machine Learning

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📚 Coursera Course ↗

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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Generative AI: Foundations and Concepts

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Generative AI: Foundations and Concepts

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