Introduction to AI : machine learning and deep learning.
In this 3-hour course, you will build a strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning through clear explanations, essential math refreshers, and practical algorithm overviews. The course covers data concepts, regression, decision trees, neural networks, K-Means cl...
Gespeichert in:
- 1. Verfasser:
- Weitere Verfasser:
- Format:
- Elektronisch Film
- Sprache:
- Englisch
- Veröffentlicht:
-
[Birmingham, United Kingdom] :
Packt Publishing,
2026.
- Ausgabe:
- [First edition].
- Zusammenfassung:
-
In this 3-hour course, you will build a strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning through clear explanations, essential math refreshers, and practical algorithm overviews. The course covers data concepts, regression, decision trees, neural networks, K-Means clustering, performance estimation, and advanced algorithms to help you begin your AI learning journey with confidence. What I will be able to do after this course Understand core AI, Machine Learning, and Deep Learning concepts Explain how regression, decision trees, clustering, and neural networks work Apply Machine Learning concepts to practical business problem scenarios Evaluate model performance using common assessment techniques Prepare for further AI learning, projects, or certification pathways Course Instructor(s) Varad G. Varadarajan is the Founder and CEO of ConnectedWorld Technology Solutions, specializing in AI, ML, and cloud technologies. A former AWS Solutions Architect, he has led multimillion-dollar projects and advised CXOs on digital transformation. He is an author, blogger, and certified AI/ML professional with advanced degrees in engineering, computer science, and business. Who is it for? This course is for students aspiring to begin a career in AI, IT professionals, managers, and curious learners who want to understand AI fundamentals. It is suitable for beginners with basic undergraduate-level knowledge of mathematics, including linear algebra, probability, statistics, and calculus. Programming experience is helpful but not mandatory.
- Umfang:
- 1 online resource (1 video file (3 hr., 51 min.)) : sound, color.
- ISBN:
- 9781808340376
- Schlagworte:
- Links: