AI and ML courses are becoming increasingly popular as more and more industries begin to incorporate these technologies into their operations. These courses cover topics such as definitions and techniques of AI, machine learning algorithms a
DurationStudents in these courses can expect to gain a proficient understanding of the theory behind these technologies as well as develop practical skills in programming and data analysis. With the demand for AI and ML professionals on the rise, taking these courses can open up many exciting career opportunities.
Introduction to AI & ML
Topics Covered
Definition of Artificial Intelligence History of AI The AI Landscape AI Techniques Overview of Machine Learning Types of ML: Supervised, Unsupervised, Reinforcement Learning
Linear Regression Logistic Regression Decision Trees Random Forests Naive Bayes K-Nearest Neighbors Support Vector Machines Neural Networks
Futurise Training Institute is an accredited institute by the Knowledge and Human Development Authority (KHDA) in Dubai and it provides quality higher education to stimulate success and attain a meaningful change.
(Institute Review)
55 years ago(Institute Review)
55 years ago
Artificial Intelligence is transforming industries across the board, from healthcare and finance to transportation and retail. In this 9-hour short course, you'll explore the latest AI applications and discover how they're being used to impr
This course covers the concepts of machine learning as well as the application of these concepts using case studies and examples, along with a walk through of the python codes.
In this course, we will give you knowledge of the fundamental’s concepts of the field of Artificial Intelligence. This course is designed specifically for beginners where we will take you to step by step through our intuitive curriculum.
This Artificial Intelligence Foundation training course in Dubai acquaints the professionals with terms of Machine Learning (ML), Deep Learning, and Neural Networks.
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
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