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📐 ML Fundamentals

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

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Value of External Resources for Building a Company Platform
ML Fundamentals
Value of External Resources for Building a Company Platform
MLOps.community Intermediate 2y ago
Promoting Distributed Innovation // Melissa Barr & Michael Mui // MLOps Podcast #154 video clip
ML Fundamentals
Promoting Distributed Innovation // Melissa Barr & Michael Mui // MLOps Podcast #154 video clip
MLOps.community Intermediate 2y ago
Deep Learning in Google Maps
ML Fundamentals
Deep Learning in Google Maps
MLOps.community Intermediate 2y ago
ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip
ML Fundamentals
ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip
MLOps.community Advanced 2y ago
Prioritizing Needs in ML Platform Design // Jean-Michel Daignan // MLOps Podcast #151 short clip
ML Fundamentals
Prioritizing Needs in ML Platform Design // Jean-Michel Daignan // MLOps Podcast #151 short clip
MLOps.community Beginner 3y ago
ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151
ML Fundamentals
ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151
MLOps.community Intermediate 3y ago
The Importance of Communication Skills in Customer-Facing Machine Learning Engineering
ML Fundamentals
The Importance of Communication Skills in Customer-Facing Machine Learning Engineering
MLOps.community Beginner 3y ago
Ensuring Model Effectiveness in MLOps: A Customized Approach
ML Fundamentals
Ensuring Model Effectiveness in MLOps: A Customized Approach
MLOps.community Beginner 3y ago
Is Machine Learning the Right Approach for Your Business Problem?
ML Fundamentals
Is Machine Learning the Right Approach for Your Business Problem?
MLOps.community Beginner 3y ago
The 7 Lines of Code You Need to Run Faster Real-time Inference // Adrian Boguszewski // Meetup #121
ML Fundamentals
The 7 Lines of Code You Need to Run Faster Real-time Inference // Adrian Boguszewski // Meetup #121
MLOps.community Beginner 3y ago
Ethical Machine Learning: Collecting the Least Amount of Data Necessary
ML Fundamentals
Ethical Machine Learning: Collecting the Least Amount of Data Necessary
MLOps.community Beginner 3y ago
From Prototype to Production: A Successful Process for Deploying Machine Learning Models
ML Fundamentals
From Prototype to Production: A Successful Process for Deploying Machine Learning Models
MLOps.community Beginner 3y ago
Building a Centralized Background for Seamless User Experience
ML Fundamentals
Building a Centralized Background for Seamless User Experience
MLOps.community Intermediate 3y ago
The Three Layers of Flexibility in Meeting User Needs
ML Fundamentals
The Three Layers of Flexibility in Meeting User Needs
MLOps.community Beginner 3y ago
The Importance of Real-Time ML and How it Became a Critical System
ML Fundamentals
The Importance of Real-Time ML and How it Became a Critical System
MLOps.community Beginner 3y ago
The Importance of Connecting Data Science Projects to Business Goals
ML Fundamentals
The Importance of Connecting Data Science Projects to Business Goals
MLOps.community Beginner 3y ago
Evolution of Infrastructure in Machine Learning // Simon Thompson // MLOps Shorts
ML Fundamentals
Evolution of Infrastructure in Machine Learning // Simon Thompson // MLOps Shorts
MLOps.community Beginner 3y ago
The Challenges of Integrating Multiple Tasks into One Model in MLOps // Ethan Rosenthal
ML Fundamentals
The Challenges of Integrating Multiple Tasks into One Model in MLOps // Ethan Rosenthal
MLOps.community Beginner 3y ago
Advice for Technically Capable People Who Don't Know Where to Start
ML Fundamentals
Advice for Technically Capable People Who Don't Know Where to Start
MLOps.community Beginner 3y ago
Predictions for Future Changes in the Python Programming Language
ML Fundamentals
Predictions for Future Changes in the Python Programming Language
MLOps.community Intermediate 3y ago
The Use of Rules Engines in Cybersecurity Threat Detection // Jeremy Thomas Jordan // MLOps Shorts
ML Fundamentals
The Use of Rules Engines in Cybersecurity Threat Detection // Jeremy Thomas Jordan // MLOps Shorts
MLOps.community Beginner 3y ago
Challenges and Concerns of Using GPT-3 in Enterprise Settings // Alex Ratner // MLOps Podcast Shorts
ML Fundamentals
Challenges and Concerns of Using GPT-3 in Enterprise Settings // Alex Ratner // MLOps Podcast Shorts
MLOps.community Beginner 3y ago
The Motivation for MLOps // Steven Fines // MLOps Meetup #118
ML Fundamentals
The Motivation for MLOps // Steven Fines // MLOps Meetup #118
MLOps.community Beginner 3y ago
Facebook Marketplace Machine Learning System Design Review
ML Fundamentals
Facebook Marketplace Machine Learning System Design Review
MLOps.community Beginner 3y ago
Systems Engineer Navigating the World of ML // Andrew Dye // MLOps Podcast #136
ML Fundamentals
Systems Engineer Navigating the World of ML // Andrew Dye // MLOps Podcast #136
MLOps.community Beginner 3y ago
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
ML Fundamentals
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
MLOps.community Beginner 3y ago
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
ML Fundamentals
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
MLOps.community Beginner 3y ago
Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2
ML Fundamentals
Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2
MLOps.community Beginner 3y ago
MLOps at DoorDash // Hien Luu and DoorDash Leads //  Coffee Sessions #119
ML Fundamentals
MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119
MLOps.community Beginner 3y ago
From Expectations to Synthetic Data Generation // Fabiana Clemente // MLOps  Meetup #109
ML Fundamentals
From Expectations to Synthetic Data Generation // Fabiana Clemente // MLOps Meetup #109
MLOps.community Beginner 3y ago
Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113
ML Fundamentals
Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113
MLOps.community Beginner 3y ago
MLflow Pipelines: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
ML Fundamentals
MLflow Pipelines: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
MLOps.community Intermediate 3y ago
Argo Workflows // Kemal Tugrul Yesilbek // MLOps  Meetup #108
ML Fundamentals
Argo Workflows // Kemal Tugrul Yesilbek // MLOps Meetup #108
MLOps.community Beginner 3y ago
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
ML Fundamentals
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
MLOps.community Intermediate 3y ago
Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102
ML Fundamentals
Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102
MLOps.community Intermediate 3y ago
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
ML Fundamentals
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
MLOps.community Beginner 3y ago
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino
ML Fundamentals
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino
MLOps.community Beginner 3y ago
Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
ML Fundamentals
Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
MLOps.community Beginner 3y ago
Real-Time Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // Coffee Sessions #97
ML Fundamentals
Real-Time Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // Coffee Sessions #97
MLOps.community Beginner 3y ago
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
ML Fundamentals
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
MLOps.community Beginner 3y ago
The Shipyard: Lessons Learned While Building an ML Platform // Joseph Haaga // Coffee Sessions #91
ML Fundamentals
The Shipyard: Lessons Learned While Building an ML Platform // Joseph Haaga // Coffee Sessions #91
MLOps.community Beginner 4y ago
Bringing Audio ML Models into Production // @ValerioVelardoTheSoundofAI //Coffee Sessions #90
ML Fundamentals
Bringing Audio ML Models into Production // @ValerioVelardoTheSoundofAI //Coffee Sessions #90
MLOps.community Beginner 4y ago
A Journey in Scaling ML // Gabriel Straub // MLOps Coffee Sessions #89
ML Fundamentals
A Journey in Scaling ML // Gabriel Straub // MLOps Coffee Sessions #89
MLOps.community Beginner 4y ago
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
ML Fundamentals
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
MLOps.community Beginner 4y ago
Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92
ML Fundamentals
Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92
MLOps.community Intermediate 4y ago
Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // Coffee Sessions #78
ML Fundamentals
Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // Coffee Sessions #78
MLOps.community Beginner 4y ago
MLOps Song
ML Fundamentals
MLOps Song
MLOps.community Beginner 4y ago
Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
ML Fundamentals
Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
MLOps.community Intermediate 4y ago
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Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
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Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
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AppDynamics Monitoring
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AppDynamics Monitoring
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VLSI CAD Part II: Layout
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VLSI CAD Part II: Layout
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Introduction to Creative AI
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Introduction to Creative AI
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Introduction to Self-Driving Cars
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Introduction to Self-Driving Cars
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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