Distributed Time Series in Machine Learning - ML 088

Distributed Time Series in Machine Learning - ML 088

Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.

In this episode…
  • Understanding use case
  • ML flow models and events
  • KPI forecasts
  • Metadata outputs
  • Prediction intervals for hotdog data
  • Automated time series forecasts
  • Libraries required for optimization
  • Practical tips managing the data and
  • Setting up the data for consumption
  • Managing black swan events

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Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077

Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077

Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics.  As an active contributor on Medium.com, Maciej has already made significant contri...

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Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076

Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076

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Exploratory Data Analysis (EDA) in Machine Learning - ML 075

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EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationsh...

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

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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 M...

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Apache Spark Integration and Platform Execution for ML - ML 073

Apache Spark Integration and Platform Execution for ML - ML 073

Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, su...

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Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072

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Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines. The first is about a free on-line tutoring service for underserved commun...

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Using AI and ML to Help Humans, Not Replace Them - ML 071

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Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and u...

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AutoML Discovery and Approach - ML 070

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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 approac...

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