Adventures in Machine Learning

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Apache Spark (Pt. 2): MLlib - ML 074

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Published : Jun 02, 2022

Duration : 52 Minutes

Show Notes

MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.

In this episode...

Why stick with Spark libraries vs. a single node operation?
What algorithms are not in Spark Lib?
What is the min. package set to use for supervised learning?
Modeling and validation
Down-sampling your data
MLlib vs. scikit-learn
Resources

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Adventures in Machine Learning Apache Spark (Pt. 2): MLlib - ML 074
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Adventures in Machine Learning Ask Me Anything (AMA) with Host Ben Wilson - ML 078
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Adventures in Machine Learning Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164
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Adventures in Machine Learning Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147
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Adventures in Machine Learning 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS
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Adventures in Machine Learning Data Watchdogs - ML 133
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Adventures in Machine Learning Machine Learning for Movie Scripts - ML 106
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Adventures in Machine Learning Writing Production Code for ML ft. Ken Youens-Clark - ML 041
Adventures in Machine Learning The Impact of Process on Successful Tech Companies - ML 145
Adventures in Machine Learning Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
Adventures in Machine Learning Time Series Models in Machine Learning - ML 087
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Adventures in Machine Learning Using AI and ML to Help Humans, Not Replace Them - ML 071
Adventures in Machine Learning Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
Adventures in Machine Learning AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153
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Adventures in Machine Learning Accurate Predictive Modeling with Maarit Widmann - ML 061
Adventures in Machine Learning ML 002: DeOldify Your Life with Jason Antic
Adventures in Machine Learning Machine Learning for the Mars Rover with Annie Didier - ML 029
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Adventures in Machine Learning ML 012: Machine Learning for Mere Mortals with Nick Chase
Adventures in Machine Learning ML 020: How to Make an Impact on the Development Community
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Adventures in Machine Learning Evaluating and Building AI Systems - ML 166
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Adventures in Machine Learning Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
Adventures in Machine Learning Apache Spark Integration and Platform Execution for ML - ML 073
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Adventures in Machine Learning A Case Study: Recommendation Engines - ML 129
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Adventures in Machine Learning AI that Make You Better - ML 127
Adventures in Machine Learning ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
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Adventures in Machine Learning ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
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Adventures in Machine Learning LLMs on Azure - ML 123
Adventures in Machine Learning How to Create Team Utils - ML 122
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Adventures in Machine Learning How to get Promoted - ML 119
Adventures in Machine Learning How to Learn a New Tool - ML 117
Adventures in Machine Learning The Innovation Cycle of AI - ML 116
Adventures in Machine Learning How to Transition from Academics to Industry - ML 114
Adventures in Machine Learning Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
Adventures in Machine Learning How to Make your Projects Succeed - ML 113
Adventures in Machine Learning ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy
Adventures in Machine Learning Functional Programming Shift and Scalable Architecture Insights - ML 158
Adventures in Machine Learning Building, Testing, and Abandoning Software - ML 163
Adventures in Machine Learning ML 001: The Adventures in Machine Learning First Steps
Adventures in Machine Learning BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
Adventures in Machine Learning How to Think Like a Principal Architect - ML 112
Adventures in Machine Learning Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072
Adventures in Machine Learning How to Transition from Software Engineer to ML Engineer - ML 111
Adventures in Machine Learning Machine Learning for Meeting Notes - ML 110
Adventures in Machine Learning Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
Adventures in Machine Learning Model Serving at Databricks - ML 109
Adventures in Machine Learning How Does ChatGPT Work? - ML 107
Adventures in Machine Learning ChatGPT and the Divine - ML 105
Adventures in Machine Learning Deep Learning for Tabular and Time Series Data - ML 104
Adventures in Machine Learning From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080
Adventures in Machine Learning Notebooks vs. IDEs With Fabian Jakobs - ML 103
Adventures in Machine Learning How To Think About Optimization - ML 102
Adventures in Machine Learning BONUS: How Jason Weimann Became a Game Developer
Adventures in Machine Learning Protecting Your ML From Phishing And Hackers - ML 101
Adventures in Machine Learning The Disruptive Power of Artificial Intelligence - ML 100
Adventures in Machine Learning A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099
Adventures in Machine Learning Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085
Adventures in Machine Learning How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047
Adventures in Machine Learning How to Edit and Contribute to Existing Code Base - ML 097
Adventures in Machine Learning Don't Let These Things Keep You From Podcasting - BONUS
Adventures in Machine Learning Becoming the Go-To Person in Your Technology Area - BONUS
Adventures in Machine Learning AI Assisted Development ft. Sydney Lai - ML 044
Adventures in Machine Learning How To Do Post-Production with Abhilash Pattnaik - ML 062
Adventures in Machine Learning Rethinking ML Monitoring - ML 060
Adventures in Machine Learning BONUS: How Opportunities Come Your Way When You're an Influencer
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Adventures in Machine Learning ML 007: Computer Vision & AI Scientist with Beril Sirmacek
Adventures in Machine Learning Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155
Adventures in Machine Learning For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069
Adventures in Machine Learning BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?
Adventures in Machine Learning Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149
Adventures in Machine Learning Balancing Theoretical Knowledge with Hands-on Experience - ML 154
Adventures in Machine Learning The Impact of AI Tools on Software Development and Quality Assurance - ML 150
Adventures in Machine Learning Parallelizing Model Training with Michael Galarnyk - ML 032
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Adventures in Machine Learning How to Get Hired at a FANG Company - BONUS
Adventures in Machine Learning MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

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Apache Spark (Pt. 2): MLlib - ML 074

Show Notes