Introduction to Machine Learning and Artificial Intelligence
List of topics we will cover
Introduction to Machine Learning
How artificial intelligence relates to machine learning
Data science vs Machine Learning
Fundamentals of Machine Learning
Definition and Applications of AI and Machine Learning
AI (Artificial Intelligence) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Types of Artificial Intelligence
It Can be divide into following sections
Definition of Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Definition of Deep Learning
Deep learning, also known as deep neural networks or neural learning, is a form of artificial intelligence (AI) that seeks to replicate the workings of a human brain. It is a form of machine learning, with functions that operate in a nonlinear decision-making process. Deep learning occurs when decisions are made on unstructured data without supervision. Object recognition, speech recognition, and language translation are some of the tasks performed through deep learning.
Deep Learning Major Domain
Computer Vision
Natural Language processing
About Machine Learning Libraries
Deep Learning Frameworks
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