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 validationDown-sampling your dataMLlib vs. scikit-learnResourcesSponsorsTop End DevsCoaching | Top End DevsLinksMLlib | Apache SparkWhat is PySpark? | Domino Data Science DictionaryUCI Machine Learning RepositoryAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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The Impact of AI Tools on Software Development and Quality Assurance - ML 130

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Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149

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Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challenges and intricacies of standardizing data movement, handling data access in various systems, and migrating data across different platforms. They share insights on the importance of building a system that spans multiple data platforms, the decision-making process behind tool development, and the impact of lineage in managing and migrating data. Join them as they uncover the complexities of open-source projects, API evolution, and the future of data engineering.SponsorsChuck's Resume TemplateDeveloper Book ClubBecome a Top 1% Dev with a Top End Devs MembershipSocialsLinkedIn: Nick SchrockBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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

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