Practical Guide to AI & ML: Mastering Future Tech Skills
Students will acquire a comprehensive comprehension of the fundamentals of machine learning, neural networks, and the practical processes involved in the development of AI models through this course.
Description for Practical Guide to AI & ML: Mastering Future Tech Skills
Features of Course
Comprehending AI, ML, and Deep Learning: Acquire a comprehensive comprehension of the differences between AI, Machine Learning, and Deep Learning, as well as the characteristics of Large Language Models such as ChatGPT and Bard.
Machine Learning Techniques: Acquire a comprehensive understanding of the distinctions between supervised, unsupervised, and reinforcement learning, as well as essential ML terms such as algorithms, models, labels, and features.
Neural Networks and Data Handling: Investigate the role of neural networks as universal function approximators and comprehend the significance of encoding and decoding non-numeric data in the context of machine learning.
Practical Application and Model Building: Utilize tools such as Microsoft Model Builder and ML.Net to observe the complete machine learning process, which encompasses data preparation, model training, and evaluation.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Udemy provided by Peter Alkema & Irlon Terblanche
Duration: 4h 50m
Schedule: Full lifetime access
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