Goal-Driven Artificial Intelligence and Machine Learning | Alex Castrounis | Skillshare

Goal-Driven Artificial Intelligence and Machine Learning

Alex Castrounis, InnoArchiTech

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15 Lessons (1h 42m)
    • 1. Introduction and Overview

      4:13
    • 2. Business Goals

      1:39
    • 3. Customer Goals

      2:16
    • 4. AI and Machine Learning Definitions

      8:03
    • 5. Machine Learning Types and Algorithms

      7:07
    • 6. AI Types and Algorithms

      8:21
    • 7. The AI and ML Process and Tradeoffs

      12:09
    • 8. Recommender System Applications

      8:01
    • 9. Prediction and Classification Applications

      4:25
    • 10. Computer Vision and Recognition Applications

      7:25
    • 11. Clustering and Anomaly Detection Applications

      1:47
    • 12. Natural Language (NLP, NLG, NLU) Applications

      8:15
    • 13. Hybrid and Miscellaneous Applications

      7:50
    • 14. Summary and Next Steps

      1:24
    • 15. Bonus: Class Project Overview and Demo

      19:06
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About This Class

Are you interested in learning about artificial intelligence (AI) and machine learning (ML)? Have you wondered how these amazing fields can help you or your business? If yes, then join Alex Castrounis to learn all about these topics and more!

Artificial intelligence and machine learning are helping people and businesses achieve key goals, obtain actionable insights, drive critical decisions, and create exciting, new, and innovative products and services.

This class is relatively high-level so that a non-technical executive can understand everything, but should be very useful to a technical practitioner as well. Please note that this class does not include coding or code examples (except for minimal coding in the class project video).

This class will

  • Give examples of common business and customer goals that can drive artificial intelligence and machine learning solutions
  • Explain artificial intelligence and machine learning, with a heavy emphasis on why they should be used
  • Provide an overview of the different types of tasks and algorithms associated with artificial intelligence and machine learning
  • Describe the typical artificial intelligence and machine learning process, along with important tradeoffs and considerations
  • Discuss real-world applications and examples of companies and products that are using artificial intelligence

I hope you enjoy!

To learn more

Please signup for the InnoArchiTech newsletter, subscribe to the  podcast, and  Alex on Twitter for the latest content updates. Please also leave a positive podcast review if you like what you hear!

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Alex Castrounis

InnoArchiTech

I am an independent consultant, author of AI for People and Business, speaker, founder of InnoArchiTech, and former IndyCar racecar engineer and race strategist.

I have helped B2B and B2C companies leverage data and advanced analytics to generate actionable insights, make better decisions, improve outcomes, and create successful data products. I have also delivered talks and trainings to thousands of people on the benefits of AI, machine learning, data science, and product st...

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