📐 ML Fundamentals

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

ML Fundamentals

ML platform Fury Data Apps at Mecado Libre

MLOps.community Advanced 5y ago

ML Fundamentals

What parts of the mercado libre ML platforms are automatted

MLOps.community Advanced 5y ago

ML Fundamentals

Litox View of the state of ML today

MLOps.community Advanced 5y ago

ML Fundamentals

Fury Platform and Fury Data Apps at Mercado Libre

MLOps.community Advanced 5y ago

ML Fundamentals

MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre

MLOps.community Advanced 5y ago

ML Fundamentals

Why do you need Automation in Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps is an Organizational Problem Not a Tech Problem

MLOps.community Beginner 5y ago

ML Fundamentals

10 Years Deploying ML in the Enterprise: The Inside Scoop! // Charles Martin // MLOps meetup #9

MLOps.community Beginner 5y ago

ML Fundamentals

Case Study of when things go wrong in ML

MLOps.community Beginner 5y ago

ML Fundamentals

Training ML models on live datasets in a GDPR world

MLOps.community Advanced 5y ago

ML Fundamentals

Monitoring for ML concept drift in a Covid Era

MLOps.community Beginner 5y ago

ML Fundamentals

Have you really thought this ML platform through?

MLOps.community Beginner 5y ago

ML Fundamentals

100% 0pen sourced ML pipeline \\ MLOps open sourced

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps.community #10 // MLOps - The Blind Men and the Elephant with Saurav Chakravorty

MLOps.community Intermediate 5y ago

ML Fundamentals

Avoiding buzzwords when hiring for data scientists

MLOps.community Beginner 5y ago

ML Fundamentals

DevOps Vs MLOps

MLOps.community Beginner 5y ago

ML Fundamentals

Different mentalities between ML engineers and Data Scientists

MLOps.community Beginner 5y ago

ML Fundamentals

Evolution of data scientist titles and roles

MLOps.community Beginner 5y ago

ML Fundamentals

Qualities to look for in an ML engineer

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps meetup #7 Alex Spanos // TrueLayer 's MLOps Pipeline

MLOps.community Beginner 5y ago

ML Fundamentals

3rd wave of data scientists

MLOps.community Beginner 5y ago

ML Fundamentals

Reproducability flaws in end to end Machine Learning debugging

MLOps.community Beginner 5y ago

ML Fundamentals

Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali

MLOps.community Beginner 5y ago

ML Fundamentals

Adjacent usecases and multistep feature engineering

MLOps.community Beginner 5y ago

ML Fundamentals

Checkpointing, metadata, and confidence in your data

MLOps.community Beginner 5y ago

ML Fundamentals

How many models in prod til I need a dedicated ML platform?

MLOps.community Beginner 5y ago

ML Fundamentals

More difficult transition for data scientists to become ML engineers

MLOps.community Beginner 5y ago

ML Fundamentals

Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

Who has the highest standards in ML?

MLOps.community Intermediate 5y ago

ML Fundamentals

Resume driven development in Machine learning & software engineering

MLOps.community Beginner 5y ago

ML Fundamentals

Swiss Cheese model in Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

Survivorship Bias in machine learning tutorials

MLOps.community Intermediate 5y ago

ML Fundamentals

Learning from real life Machine Learning failures

MLOps.community Beginner 5y ago

ML Fundamentals

Humans in the Loop are a defining factor in Machine Learning

MLOps.community Intermediate 5y ago

ML Fundamentals

Current State Of Machine Learning

MLOps.community Beginner 5y ago

ML Fundamentals

Specific challenges in Machine Learning

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps: Airflow Pros and Cons

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali

MLOps.community Beginner 5y ago

ML Fundamentals

3 key parts to Machine Learning monitoring

MLOps.community Intermediate 5y ago

ML Fundamentals

Auto retrain ML models is not the question

MLOps.community Intermediate 5y ago

ML Fundamentals

Developing a Machine Learning Feature Store

MLOps.community Intermediate 5y ago

ML Fundamentals

Evolution of the ML feature store @SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Doing ML with Personal Information

MLOps.community Intermediate 5y ago

ML Fundamentals

How do you handle ML version control at SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Hybrid Data Science Teams @SurveyMonkey

MLOps.community Intermediate 5y ago

ML Fundamentals

Message buses, Async and sync architecture

MLOps.community Intermediate 5y ago

ML Fundamentals

ML Services Gateway at SurveyMonkey

MLOps.community Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

AI Ecosystem for the Absolute Beginners - Hands-On

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Self-paced

Practical Predictive Analytics: Models and Methods

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Self-paced

Recommender Systems: An Applied Approach using Deep Learning

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📚 Coursera Course ↗

Self-paced

Oracle Cloud Infrastructure AI Foundations

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Self-paced

Digital Signal Processing 3: Analog vs Digital

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Self-paced

Natural Language Processing with Sequence Models

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Self-paced

Deep Learning with Keras and Tensorflow

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Self-paced

Applied Calculus with Python

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📚 Coursera Course ↗

Self-paced

Naive Bayes 101: Resume Selection with Machine Learning

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📚 Coursera Course ↗

Self-paced

Introduction to Self-Driving Cars

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📚 Coursera Course ↗

Self-paced

AI-900 - Azure AI Fundamentals and Two Practice Tests

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📚 Coursera Course ↗

Self-paced

Introduction to Thermodynamics: Transferring Energy from Here to There

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Self-paced

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

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📚 Coursera Course ↗

Self-paced

Unlocking AI and ML : Your Path to Smart Business Solutions

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Self-paced

Interpretable Machine Learning Applications: Part 1

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📚 Coursera Course ↗

Self-paced

Advanced Generative Adversarial Networks (GANs)

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Self-paced

AWS Glue Getting Started

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📚 Coursera Course ↗

Self-paced

AI for Medical Diagnosis

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