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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Jaksot(209)

Confidence as Data Scientist - ML 130

Confidence as Data Scientist - ML 130

In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore ...

19 Loka 20231h 1min

A Case Study: Recommendation Engines - ML 129

A Case Study: Recommendation Engines - ML 129

In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorith...

5 Loka 202350min

Maximizing Efficiency in ML Project Development - ML 128

Maximizing Efficiency in ML Project Development - ML 128

Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and ...

21 Syys 202347min

AI that Make You Better - ML 127

AI that Make You Better - ML 127

In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to...

14 Syys 20231h 15min

Challenges for LLM Implementation - ML 126

Challenges for LLM Implementation - ML 126

In today's episode, we speak with Anand Das, the CTO and co-founder of bito.ai, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls...

7 Syys 20231h 16min

ML in the Cannabis Industry - ML 125

ML in the Cannabis Industry - ML 125

In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!Sponsors...

24 Elo 202353min

How AI Impacts Society - ML 124

How AI Impacts Society - ML 124

In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the m...

17 Elo 20231h

LLMs on Azure - ML 123

LLMs on Azure - ML 123

In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bi...

3 Elo 20231h 14min

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