AGI, Neuron Simulators, and More with Charles Simon - ML 090

AGI, Neuron Simulators, and More with Charles Simon - ML 090

Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI). Mr. Simon's technical experience includes the creation of two unique AI systems along with software for successful neurological test equipment combining AI development with biomedical nerve signal testing that gives him the singular insight. Today on the show, Charles, Michael, and Ben explore the riveting future of AGI and other illuminating technology concepts. This is an exciting episode you won’t want to miss!

In this episode…
  • Charles Simon’s extensive background
  • Classical algorithms vs manual design
  • Knowledge and power generated in our brains
  • AI and ML concepts and learning patterns
  • Graph based approaches and deep learning
  • “Terminator” and AGI
  • Future AI and open source simulator
  • Leveraging technology to solve problems

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Episoder(209)

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

After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology withi...

16 Jun 202250min

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

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

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

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

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...

2 Jun 202252min

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...

26 Mai 202236min

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

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

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...

18 Mai 202253min

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

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

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...

12 Mai 202243min

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 approac...

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