Published 8/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 739.53 MB | Duration: 1h 21m
Artificial Intelligence 101
What you’ll learn
Understand the principles of Machine Learning
How is Deep Learning linked with Machine Learning
Types of Learning
Exploring Neural Network and Deep Learning
Understanding Learning Theory
Comprehending Real Life Examples of AI
Linear Regression vs Logistic Regression
Requirements
No programming experience needed
Basic Artificial Intelligence knowledge
Description
If you’re a complete beginner to the world of Robotics, This course will teach you all the basic fundamentals you’ll need.Introduction to Machine Learning is a front row seat to help beginners unravel the curious mystery behind machine learning. You can use this course to gain knowledge of basic machine learning concepts in preparation for, or alongside, more advanced courses.Machine Learning is the study of algorithms that improve their performance P at some task T with experience E. As Herbert Simon once said, “Learning is any process by which a system improves performance from experience.”This course is designed by a Robotics Engineer with over 4 years of experience in creating complex algorithms using C and C++ whilst comprehending ML and Neural Networks.It is structured in the following way:Part 1: Introduction to Machine LearningMachine learning has been essential to the success of many recent technologies, including autonomous vehicles, search engines, genomics, automated medical diagnosis, image recognition, and social network analysis, among many others.Part 2: Neural Network and Deep learning:Artificial intelligence (AI) is all round us, remodelling the manner we live, work, and interact. Farmers use artificial intelligence and deep learning to investigate their vegetation and climate conditions. Marketers use machine learning to find out more approximately the consumer’s buy choices and what advertisements are impactful for you. The movie enterprise makes use of artificial intelligence and learning algorithms to create new scenes, cities, and unique effects, transforming the manner filmmaking is done. Bankers use artificial neural networks and deep learning to find out what to anticipate from financial developments and investments. Your social media community learns approximately what you need to see, and makes use of deep learning to feed you the varieties of content material you want and need in the form of ads. But what sincerely is that underlying era that makes all this possible? Artificial neural networks and deep networks are part of artificial intelligence. But for maximum people, the ones phrases are simply buzzwords-they don’t sincerely apprehend what any of that sincerely method or the way it works.
Overview
Section 1: Introduction To Machine Learning
Lecture 1 Introduction To Machine Learning
Lecture 2 Types of Learning – Supervised Learning
Lecture 3 Types of Learning – Unsupervised Learning
Lecture 4 Types of Learning – Reinforcement Learning
Lecture 5 Types of Learning – Deep Learning
Lecture 6 Types of Learning – Deep Reinforcement Learning
Section 2: Neural Networks and Deep Learning
Lecture 7 Intro to Neural Networks
Lecture 8 What is Deep Learning and how does it effect us?
Lecture 9 Learning Theory
Competent and confident with using a computer,Beginner Engineer curious about A.I.,Artificial Intelligence enthusiasts wanting to explore the basics of Machine Learning,Any beginners who are willing to expand their knowledge base
Homepage
https://www.udemy.com/course/introduction-to-machine-learning-for-beginners-level-1/
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