📐 ML Fundamentals

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

ML Fundamentals

How many tools is too many?

MLOps.community Intermediate 1y ago

ML Fundamentals

Understanding Lab Dynamics and MLOps Challenges

MLOps.community Beginner 1y ago

ML Fundamentals

Does it run tho? #podcast #artificialintelligence

MLOps.community Intermediate 1y ago

ML Fundamentals

Is AI Truly That Impressive or Just an Illusion

MLOps.community Intermediate 1y ago

ML Fundamentals

Are Memory Issues the New Tech Bottleneck

MLOps.community Intermediate 1y ago

ML Fundamentals

AI is Coming for Your Toaster

MLOps.community Advanced 1y ago

ML Fundamentals

58 Billion Predictions Daily The New Normal?!

MLOps.community Intermediate 1y ago

ML Fundamentals

Should We Ditch Ontologies for AI Interactions

MLOps.community Intermediate 1y ago

ML Fundamentals

Unlocking AI Potential Why Post Training Trumps Pre Training!

MLOps.community Advanced 1y ago

ML Fundamentals

Are Small Models the Future of Fast and Cheap AI

MLOps.community Intermediate 1y ago

ML Fundamentals

Building an ML Platform from scratch

MLOps.community Intermediate 1y ago

ML Fundamentals

Unlock Unreal Performance with Small Models!

MLOps.community Advanced 1y ago

ML Fundamentals

Is More Really Better Delve Into Document Strategy

MLOps.community Intermediate 1y ago

ML Fundamentals

Mind Blowing Fact More Docs Boosts Performance!

MLOps.community Advanced 1y ago

ML Fundamentals

Balancing Act Companies vs Consumers

MLOps.community Intermediate 1y ago

ML Fundamentals

Outsmart Big Dogs with Tiny Models!

MLOps.community Intermediate 1y ago

ML Fundamentals

DSPy

MLOps.community Intermediate 1y ago

ML Fundamentals

Avoiding the Premature Optimization Trap

MLOps.community Advanced 1y ago

ML Fundamentals

Get Testing Tips Straight from the Pros!

MLOps.community Intermediate 1y ago

ML Fundamentals

Where's the Most Surprising Place You've Used AI

MLOps.community Intermediate 1y ago

ML Fundamentals

AI's Next Big Leap Blending Dimensions!

MLOps.community Intermediate 1y ago

ML Fundamentals

Beyond Numbers: The REAL RAG Improvements

MLOps.community Beginner 1y ago

ML Fundamentals

The Centralized Data Model: MLOps' Secret Weapon

MLOps.community Beginner 1y ago

ML Fundamentals

Unseen Fines €35M Compliance Shock #machinelearningoperations #podcast #aicompliance

MLOps.community Beginner 1y ago

ML Fundamentals

Why We Need More Data Science Podcasts

MLOps.community Intermediate 1y ago

ML Fundamentals

How to Actually Use Cost Effective AI in Your Business

MLOps.community Beginner 1y ago

ML Fundamentals

The EU AI Act: Navigating New Legislation // Podcast #271

MLOps.community Beginner 1y ago

ML Fundamentals

Bridging the Gap Software Meets Data Science

MLOps.community Intermediate 1y ago

ML Fundamentals

Unlocking Empathy Communication Tips from the Pros

MLOps.community Intermediate 1y ago

ML Fundamentals

Do You Really Need a Feature Store

MLOps.community Intermediate 1y ago

ML Fundamentals

MLOps Across Borders // Gottam Sai Bhrath & Cole Bailey // MLOps Podcast #263 clip

MLOps.community Intermediate 1y ago

ML Fundamentals

September reading group reel

MLOps.community Intermediate 1y ago

ML Fundamentals

Tonic Validate

MLOps.community Intermediate 1y ago

ML Fundamentals

September Reading group clip 1

MLOps.community Intermediate 1y ago

ML Fundamentals

Chronon: Airbnb's Open-Source Data Platform

MLOps.community Beginner 1y ago

ML Fundamentals

Data Engineering: The Missing Piece of Your Data Science Puzzle

MLOps.community Beginner 1y ago

ML Fundamentals

How Data Capture Transforms ML Observability

MLOps.community Intermediate 1y ago

ML Fundamentals

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI

MLOps.community Intermediate 1y ago

ML Fundamentals

The Evolution of Lyft's Feature Store // Devon Mittow // DE4AI

MLOps.community Beginner 1y ago

ML Fundamentals

How To Cut Your Data Infrastructure Costs in Half

MLOps.community Intermediate 1y ago

ML Fundamentals

Turn Data Chaos into AI Strategy with Programmatic AI Data Development // Elena Boiarskaia // DE4AI

MLOps.community Beginner 1y ago

ML Fundamentals

Centralized or Decentralized ML Platform? // Jelmer Borst and Daniela Solis // MLOps Podcast #267

MLOps.community Intermediate 1y ago

ML Fundamentals

Why We Need to Rethink Frameworks

MLOps.community Intermediate 1y ago

ML Fundamentals

Global Feature Store // Gottam Sai Bharath & Cole Bailey // MLOps Podcast #263

MLOps.community Beginner 1y ago

ML Fundamentals

Critical Importance of Vulnerability Scanning in Software Development // Harcharan Kabbay // shorts

MLOps.community Intermediate 1y ago

ML Fundamentals

MLSecOps is Fundamental to Robust AISPM // Sean Morgan // MLOps Podcast #257

MLOps.community Intermediate 1y ago

ML Fundamentals

Continuous Model Training // Nicolas Mauti // MLOps Podcast #255 clip

MLOps.community Beginner 1y ago

ML Fundamentals

Data Quality = Quality AI // Panel // AIQCON

MLOps.community Beginner 1y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Create Machine Learning Models in Microsoft Azure

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Employee Attrition Prediction Using Machine Learning

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Building and Optimizing AI Models

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Self-paced

Master Java Build Tools for ML Projects

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Machine Learning Operations (MLOps): Getting Started

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Project on Recommendation Engine - Advanced Book Recommender

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Self-paced

I/O-efficient algorithms

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Support Vector Machines in Python, From Start to Finish

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Machine Learning: Clustering & Retrieval

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Pengantar AI dan Machine Learning di Google Cloud

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Survival Analysis in R for Public Health

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Self-paced

Automate Cloud Costs & Governance

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📚 Coursera Course ↗

Self-paced

GenAI for Risk Managers: Advanced Risk Analysis Techniques

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Self-paced

CUDA at Scale for the Enterprise

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Self-paced

Cloud Machine Learning Engineering and MLOps

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📚 Coursera Course ↗

Self-paced

Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

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Self-paced

Evaluate Vision Errors: Identify Failure Patterns

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Self-paced

Unsupervised Learning, Recommenders, Reinforcement Learning

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