This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field. In this episode you will learn:• What MLOps is [11:40]• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]• The three most important MLOps tools [32:15]• The six most essential MLOps skills for data scientists [47:01]• The key factors Mikiko looks when hiring engineers [1:07:31]• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20] Additional materials: <a href="https://www.superdatascience.com/599">www.superdatascience.com/599</a>

This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field. In this episode you will learn: • What MLOps is [11:40] • Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11] • The three most important MLOps tools [32:15] • The six most essential MLOps skills for data scientists [47:01] • The key factors Mikiko looks when hiring engineers [1:07:31] • Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20] Additional materials: www.superdatascience.com/599

This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field. In this episode you will learn:• What MLOps is [11:40]• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]• The three most important MLOps tools [32:15]• The six most essential MLOps skills for data scientists [47:01]• The key factors Mikiko looks when hiring engineers [1:07:31]• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20] Additional materials: <a href="https://www.superdatascience.com/599" rel="noopener noreferrer">www.superdatascience.com/599</a>

599: MLOps: Machine Learning Operations

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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599: MLOps: Machine Learning Operations

599: MLOps: Machine Learning Operations

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