📐 ML Fundamentals

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

ML Fundamentals

#search ai use case at @Uber #podcast #aiinpractice #mlops

MLOps.community Intermediate 9mo ago

ML Fundamentals

Simplifying Training and GenAI Finetuning Using Serverless GPU Compute

Databricks Intermediate 9mo ago

ML Fundamentals

Optimize Cost and User Value Through Model Routing AI Agent

Databricks Beginner 9mo ago

ML Fundamentals

Physical Intelligence Unleashed: Building robust AI at scale for Edge Devices

Weights & Biases Beginner 9mo ago

ML Fundamentals

Part 5 | Deploy ML Model on Kubernetes | Setting Up Cluster&Deploy the ML Service

Abonia Sojasingarayar Beginner 9mo ago

ML Fundamentals

AI’s Secret Ingredients: Weights and Bias Explained! | #ai #education #bias #weights #english

FutureSeed AI Beginner 9mo ago

ML Fundamentals

🔥From Beginner to Data Scientist: A Complete Career Path #shorts #simplilearnShorts Data

Simplilearn Beginner 9mo ago

ML Fundamentals

New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games

AI Engineer Beginner 9mo ago

ML Fundamentals

Webinar: Alumni in Action: Oxford Insights and Sustainability Leadership

Saïd Business School, University of Oxford Advanced 9mo ago

ML Fundamentals

Tony Silveti Falls - Training neural networks at any scale

Cohere Advanced 9mo ago

ML Fundamentals

Stanford AA222 I Engineering Design Optimization | Spring 2025 | Disciplined Convex Programming

Stanford Online Advanced 9mo ago

ML Fundamentals

3 Secret Places to Show Skills on Your Resume

Coursera Beginner 9mo ago

ML Fundamentals

Run the model, not the risk: Powering private inference for enterprise AI anywhere

Weights & Biases Beginner 9mo ago

ML Fundamentals

MSc Global Healthcare Leadership: Boost your application with a rapid masterclass

Saïd Business School, University of Oxford Intermediate 9mo ago

ML Fundamentals

🔥Latent Space Explained: How AI Understands Concepts ? #shorts #simplilearn

Simplilearn Beginner 9mo ago

ML Fundamentals

Katrina Lawrence - ML Math Refresher

Cohere Beginner 9mo ago

ML Fundamentals

Busting the Big AI Myths

MLOps.community Beginner 9mo ago

ML Fundamentals

Professional Resume Template - Free Download!

Coursera Beginner 9mo ago

ML Fundamentals

The Stein Paradox - Numberphile

Numberphile Beginner 9mo ago

ML Fundamentals

Bagging vs Boosting Explained!

Analytics Vidhya Beginner 9mo ago

ML Fundamentals

AlphaGenome: DeepMind’s AI Decoding Human DNA!

Analytics Vidhya Intermediate 9mo ago

ML Fundamentals

Sponsored by: SAP | SAP and Databricks Open a Bold New Era of Data and AI​

Databricks Advanced 9mo ago

ML Fundamentals

How Databricks Powers Real-Time Threat Detection at Barracuda XDR

Databricks Beginner 9mo ago

ML Fundamentals

Scaling XGBoost With Spark Connect ML on Grace Blackwell

Databricks Intermediate 9mo ago

ML Fundamentals

Databricks as the Backbone of MLOps: From Orchestration to Inference

Databricks Advanced 9mo ago

ML Fundamentals

GenAI Observability in Customer Care

Databricks Beginner 9mo ago

ML Fundamentals

Developing the Dreamers of Data + AI’s Future: How 84.51˚ builds upskilling to accelerate adoption

Databricks Intermediate 9mo ago

ML Fundamentals

Dusting off the Cobwebs — Moving off a 26-year-old Heritage Platform to Databricks [Teradata]

Databricks Intermediate 9mo ago

ML Fundamentals

Scaling Data Engineering Pipelines: Preparing Credit Card Transactions Data for Machine Learning

Databricks Intermediate 9mo ago

ML Fundamentals

From Prediction to Prevention: Transforming Risk Management in Insurance

Databricks Beginner 9mo ago

ML Fundamentals

Telco Reimagined: Real-World Journeys in Data and AI for Customer Experience Transformation

Databricks Beginner 9mo ago

ML Fundamentals

SAP Business Data Cloud: Fuel AI with SAP Data Products Across ERP and Lines-Of-Business

Databricks Intermediate 9mo ago

ML Fundamentals

TAO and Reinforcement Learning: Building AI With the Data You Have

Databricks Advanced 9mo ago

ML Fundamentals

Sponsored by: Dataiku | Agility Meets Governance: How Morgan Stanley Scales ML in a Regulated World

Databricks Beginner 9mo ago

ML Fundamentals

Future-Ready Data at Scale: How Shutterfly Modernized for GenAI-Driven Personalization

Databricks Advanced 9mo ago

ML Fundamentals

AI Evaluation from First Principles: You Can't Manage What You Can't Measure

Databricks Intermediate 9mo ago

ML Fundamentals

Searching for Meaning in the Age of AI

Databricks Beginner 9mo ago

ML Fundamentals

Partner Summit Breakout: SAP and Partners

Databricks Intermediate 9mo ago

ML Fundamentals

Scaling Blockchain ML With Databricks: From Graph Analytics to Graph Machine Learning

Databricks Intermediate 9mo ago

ML Fundamentals

Transforming Nestlé USA’s (NUSA) data platform to unlock new analytics and GenAI capabilities

Databricks Beginner 9mo ago

ML Fundamentals

Unity Catalog Deep Dive: Practitioner's Guide to Best Practices and Patterns

Databricks Beginner 9mo ago

ML Fundamentals

Intro to the Mosaic AI Platform: Building Data Intelligence Into Your AI Solutions

Databricks Beginner 9mo ago

ML Fundamentals

Securing the Future: How Banks are Reducing Risk With Data and AI

Databricks Intermediate 9mo ago

ML Fundamentals

Synthetic data in medical device AI: Challenges and opportunities

Weights & Biases Beginner 9mo ago

ML Fundamentals

🔥Roadmap to Become a Generative AI Expert #shorts #simplilearn

Simplilearn Beginner 9mo ago

ML Fundamentals

Executive Diploma mini masterclass: ace your application

Saïd Business School, University of Oxford Intermediate 9mo ago

ML Fundamentals

3 Must-Know Data Science Interview Questions (Explained Fast!)

Analytics Vidhya Beginner 9mo ago

ML Fundamentals

Fueling innovation at scale: Inside Pinterest's machine learning platform

Weights & Biases Beginner 9mo ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Learning TensorFlow: the Hello World of Machine Learning

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Unsupervised Learning, Recommenders, Reinforcement Learning

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Data Modeling, Transformation, and Serving

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Self-paced

Machine Learning: Regression

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Self-paced

Mathematical Thinking in Computer Science

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Training, Evaluating, and Monitoring Machine Learning Models

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Introduction to Statistics

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Data Science Companion

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Basic Image Classification with TensorFlow

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Self-paced

Optimize Deep Learning: Tune PyTorch Models

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Machine Learning Projects in R with Caret

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Basic Engineering Mathematics

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Self-paced

Cloud Computing Foundations

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Self-paced

AI Infrastructure: Cloud TPUs

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Self-paced

VLSI CAD Part II: Layout

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Self-paced

Machine Learning with Neural Networks

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Self-paced

AI for Engineering: An Overview

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Self-paced

Generative AI: Foundations and Concepts

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