Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve.  Chris works at the Jet Propulsion Laboratory for NASA and dives into a few instances where Machine Learning is used at NASA.  Panel  Charles Max Wood  Guest  Chris Mattmann  Sponsors  Dev Heroes Accelerator  Links  Manning | Machine Learning with TensorFlow, Second EditionTwitter: Chris MattmannGitHub | ChrisMattmann  Picks  Charles- Star Trek: DiscoveryCharles- The Umbrella Academy | NetflixCharles- Dev Heroes Accelerator | Devchat.tvChris- Twitter: Sincerely, Los AngelesChris- Sincerely, Los AngelesAdvertising 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.

ML 022: Machine Learning with TensorFlow Chris Mattmann

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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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.

Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

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The Science-Engineering Blend - ML 146

Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projects, and the need for comprehensive documentation and peer reviews. The conversation also delves into the challenges of handling complex code, the significance of prototype research, and the distinction between design decisions and implementation details. Through real-world examples, they illustrate the impact of rushed processes on project outcomes and the responsibility of tech leads in analyzing and deleting unused code. Join them as they explore how process and organizational culture contribute to successful outcomes in tech companies and why companies invest in skilled individuals who can work efficiently within established processes.SponsorsChuck's Resume TemplateDeveloper Book ClubBecome a Top 1% Dev with a Top End Devs MembershipBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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ML 022: Machine Learning with TensorFlow Chris Mattmann

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