📐 ML Fundamentals

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

ML Fundamentals

How to Avoid Suffering in MLOps/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55

MLOps.community Beginner 5y ago

ML Fundamentals

Does anyone know of a good way to manage dependencies? // MLOps Coffee Sessions #31 Part 2 Clip

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

MLOps.community Beginner 5y ago

ML Fundamentals

'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52

MLOps.community Beginner 5y ago

ML Fundamentals

Practical MLOps // Noah Gift // MLOps Coffee Sessions #27

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#8 - The revolution of Federated Learning

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Feature Store Explanation

MLOps.community Beginner 5y ago

ML Fundamentals

Machine Learning Design Patterns // Sara Robinson // MLOps Coffee Sessions #24

MLOps.community Beginner 5y ago

ML Fundamentals

Santa's Feature Store // MLOps Christmas

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Community // For The Community, By The Community

MLOps.community Beginner 5y ago

ML Fundamentals

SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23

MLOps.community Beginner 5y ago

ML Fundamentals

How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#7 - ML and Encryption - It's all about secure insights

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#6 - Privacy-preserving ML with Differential Privacy

MLOps.community Beginner 5y ago

ML Fundamentals

Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44

MLOps.community Beginner 5y ago

ML Fundamentals

A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#5 - The intersection between DataOps and privacy

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#4 - Are Privacy-enchancing technologies a myth?

MLOps.community Beginner 5y ago

ML Fundamentals

Ep#2 - What are regulations saying about data privacy?

MLOps.community Beginner 5y ago

ML Fundamentals

When Machine Learning meets privacy - Episode 1

MLOps.community Beginner 5y ago

ML Fundamentals

Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // MLOps Meetup #39

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey

MLOps.community Beginner 5y ago

ML Fundamentals

Most underrated topics regarding deploying ML models in production?

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Meetup #35 // Bring Your On-Prem ML Use Cases to Production on Google Cloud using Kubeflow

MLOps.community Intermediate 5y ago

ML Fundamentals

Continuous Delivery and Automation Pipelines in Machine Learning // Part 1 // MLOps Coffee Sessions

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Meetup #32 // Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Model Zoo

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Cubonacci workshop

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Day Conference - We Sponsored a Conference!

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Meetup #26 / How to Leverage ML Tooling Ecosystem / Mariya Davydova Head of Product at Neu ro

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #25 Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps #22 // Feature Stores: An Essential Part of the ML Stack to Build Great Data // Kevin Stumpf

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev

MLOps.community Beginner 5y ago

ML Fundamentals

Monitoring the Machine Learning Stack // Lina Weichbrodt // MLOps Meetup #23

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky

MLOps.community Advanced 5y ago

ML Fundamentals

MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Coffee Sessions #1: Serving Models with Kubeflow

MLOps.community Beginner 5y ago

ML Fundamentals

Mlflow Open source framework Hermoine demo

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps Common Mistakes why Hermione was Born

MLOps.community Intermediate 5y ago

ML Fundamentals

What is the open source ML framework Hermoine

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde

MLOps.community Intermediate 5y ago

ML Fundamentals

MLOps meetup #14 // Kubeflow vs MLflow with Byron Allen

MLOps.community Intermediate 5y ago

ML Fundamentals

Show your Versatility as a Data Scientist

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market w/ Anthony Kelly

MLOps.community Beginner 5y ago

ML Fundamentals

Model monitoring with Fury Data Apps at Mercado Libre

MLOps.community Advanced 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Calculus: Single Variable Part 1 - Functions

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Self-paced

Image Captioning with TensorFlow & Streamlit

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Self-paced

Data Engineering in AWS

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Self-paced

Introduction to Creative AI

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Self-paced

Technologies and platforms for Artificial Intelligence

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📚 Coursera Course ↗

Self-paced

Deep Learning with PyTorch : Generative Adversarial Network

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📚 Coursera Course ↗

Self-paced

Matrix Factorization and Advanced Techniques

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📚 Coursera Course ↗

Self-paced

Pricing Options with Mathematical Models

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📚 Coursera Course ↗

Self-paced

Deep Learning, NLP, and AI Applications

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📚 Coursera Course ↗

Self-paced

Foundations of Machine Learning with Azure

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📚 Coursera Course ↗

Self-paced

Physics 101 - Energy and Momentum

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📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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📚 Coursera Course ↗

Self-paced

Causal Inference

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📚 Coursera Course ↗

Self-paced

Approximation Algorithms

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📚 Coursera Course ↗

Self-paced

Applied Natural Language Processing in Engineering Part 1

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📚 Coursera Course ↗

Self-paced

KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS

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📚 Coursera Course ↗

Self-paced

Digital Signal Processing 4: Applications

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📚 Coursera Course ↗

Self-paced

Custom Models, Layers, and Loss Functions with TensorFlow

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