Machine Learning Training

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Machine Learning is the field of studide that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across.

As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Course Highlights:

• Introduction of Machine Learning
• What Today’s AI can Do?
• Traditional AI
• Categories of Machine Learning
• Supervised Learning
• Scikit-Learn Algorithm
• Unsupervised Learning
• Artificial Neural Network
• Deep Learning
• Skills for Machine Learning
• Implementing Machine Learning

Content:

• Reasoning
• Learning
• Problem Solving
• Perception
• Linguistic Intelligence
• Search and optimization
• Logic
• Probabilistic methods for uncertain reasoning
• Classifiers and statistical learning methods
• Neural networks
• Control theory
• Languages