- Fundamentals of Artificial Intelligence (AI) and Machine Learning
- Classification, regression, clustering, anomaly detection
- Supervised, unsupervised, reinforcement, and transfer learning
- How to collect and prepare data suitable for training and testing machine learning models
- Machine learning development and production deployment process
- Practical business applications of machine learning
- How machines learn from data
- How to identify problems suitable for machine learning
- Different types of machine learning models and how to choose among them
- How to train models using GPU instances in the cloud
- Some Python programming is helpful, but not required
- Math concepts such as linear algebra and calculus are helpful, but not required
Machine learning has always been an important field in computer science, but recent advancements in computation power and algorithm efficiency have made this field more prominent than ever.mystudyexams.com certification on Machine Learning assesses the candidate as per the company’s need for Machine learning.
In this course, you will learn Supervised Learning, Supervised Learning Models, Unsupervised Learning, Neural Networks and Applying Machine Learning etc. You will also learn and explore the fundamental techniques in machine learning and discover how to solve many different types of problems using machine learning.
This Course is intended for professionals, freshers and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.
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