Sorry, your browser is not supported
To have the best experience using Skillshare, we recommend that you use one of these supported browsers.

Goal-Driven Artificial Intelligence and Machine Learning

Alex Castrounis, InnoArchiTech Founder, PODaaS Podcast Creator/Host

Play Speed
  • 0.5x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 2x
15 Videos (1h 42m)
    • Introduction and Overview

      4:13
    • Business Goals

      1:39
    • Customer Goals

      2:16
    • AI and Machine Learning Definitions

      8:03
    • Machine Learning Types and Algorithms

      7:07
    • AI Types and Algorithms

      8:21
    • The AI and ML Process and Tradeoffs

      12:09
    • Recommender System Applications

      8:01
    • Prediction and Classification Applications

      4:25
    • Computer Vision and Recognition Applications

      7:25
    • Clustering and Anomaly Detection Applications

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

      8:15
    • Hybrid and Miscellaneous Applications

      7:50
    • Summary and Next Steps

      1:24
    • Bonus: Class Project Overview and Demo

      19:06
23 students are watching this class

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 examples of companies and products that are using artificial intelligence and machine learning by category. Categories include:
    • Recommender systems
    • Prediction and classification
    • Computer vision and recognition
    • Clustering and anomaly detection
    • Natural language
    • Hybrid and miscellaneous applications

I hope you enjoy!

To learn more

Attribution

20 of 22 students recommendSee All

This class provides real life examples of how AI and machine learning are revolutionizing the way we work, play, and interact with others today. These examples hit home, and make it easy for anyone to see the importance of AI / ML. This was a great way for me to get my feet wet. Thanks, Alex!
ALEX YOU ARE A G! So excited about this new technological revolution, goal is to have more conversations around it, better understand and appreciate its applications
Extremely good overview || refreshment of AI and ML

541

Students

--

Projects

Alex Castrounis

InnoArchiTech Founder, PODaaS Podcast Creator/Host

Alex Castrounis founded InnoArchiTech, a company that provides consulting, education, writing, and speaking services. His expertise is in transforming data into value using artificial intelligence, deep learning, neural networks, machine learning, and data science in order to achieve business and customer goals, and also to improve human experiences.

At his day job, Alex is the vice president of product and advanced analytics at Rocket Wagon, an enterprise IoT and digital services comp...

See full profile