AutoML Discovery and Approach - ML 070

AutoML Discovery and Approach - ML 070

AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs. proprietary platforms. What is AutoML? Automated machine learning provides methods and processes to make machine learning available for non-machine learning experts, to improve efficiency of machine learning and to accelerate research on machine learning. 2 levels of implementation: Blackbox AutoML can do one, or all of the things for feature selection with a statistical outset and self optimizing outcome.
Whitebox AutoML exposes the code to explain how it behaves and allows you to produce predictions as to the influencing variables. Leveraging open-source toolkits vs. proprietary “The output is the model, the input is the data, and you can use that model to predict anything according to your business problem.” - Abid Ali Awan Sponsors Links Special Guest: Abid Ali Awan .Sponsored By:

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Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jaksot(209)

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, star...

8 Elo 202456min

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.Aaron kicks things off by underlining the cultural facets in...

24 Heinä 20241h 6min

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat,...

18 Heinä 202457min

Functional Programming Shift and Scalable Architecture Insights - ML 158

Functional Programming Shift and Scalable Architecture Insights - ML 158

In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to p...

11 Heinä 202456min

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasi...

4 Heinä 202454min

The Intersection of Success and Talent Retention in Software Development - ML 156

The Intersection of Success and Talent Retention in Software Development - ML 156

In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and gr...

27 Kesä 20241h

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledg...

20 Kesä 202457min

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, e...

13 Kesä 20241h 7min

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