Goal-Driven Artificial Intelligence and Machine Learning
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 achieve key goals, obtain actionable insights, and drive critical decisions?
If yes, then check out my Goal-Driven Artificial Intelligence and Machine Learning class on Skillshare to learn all about these topics and more!
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.
Goal-Driven Artificial Intelligence and Machine Learning is a class that will
- Give examples of common business and customer goals that can drive AI and ML solutions
- Explain what artificial intelligence and machine learning is, with a heavy emphasis on why AI and ML should be used
- Provide an overview of the different types of AI and ML tasks, along with an overview of common algorithms
- Describe the typical AI and ML process, along with important tradeoffs and considerations
- Discuss real-world examples of companies and products that are using AI and ML by category. These include: Recommender systems, prediction and classification, computer vision and recognition, clustering and anomaly detection, natural language, hybrid and miscellaneous applications.
Use this link to get two free months of premium membership on Skillshare, with full access to my class and thousands of other classes covering many different topics!
If you know of anyone else that’d be interested to learn about artificial intelligence and machine learning, please share the link with them too.
Thanks and enjoy!
→ Click here to visit my GitHub repo of resources related to data science, machine learning, artificial intelligence (AI), big data, and more!
Originally published at www.innoarchitech.com.
- Artificial neuron model: By Chrislb (Own work) [GFDL (http://www.gnu.org/copyleft/fdl.html) or CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/)], via Wikimedia Commons
- Artificial neural network: By Dake, Mysid [CC BY 1.0 (http://creativecommons.org/licenses/by/1.0)], via Wikimedia Commons