This complete Artificial Intelligence and Machine Learning full course video cover all the topics that you need to know to become a master in the field of AI and Machine Learning. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. You will see the top 10 applications of AI in 2021. Then, we will understand Machine Learning and Deep Learning and the different algorithms used to build AI models. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2021.
00:00:00 Basics of Machine Learning
00:14:09 AI Tutorial
00:49:57 Machine Learning Algorithm
04:06:36 Deep Learning Basic
05:21:23 Neural network
05:57:51 TenserFlow 2.0
07:34:44 What are GANs
07:43:51 Keras Framework
08:54:50 Recurrent Neural network
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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
About Simplilearn Artificial Intelligence Course:
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.
✅ 3.5 hours of enriched learning
✅ Lifetime access to self-paced learning
✅ Industry-recognized course completion certificate
This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.
There are no prerequisites for opting for this Introduction to Artificial Intelligence for beginners. It does not require programming or IT background, making it ideal for professionals from all walks of corporate life.
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Also, explore our Artificial Intelligence and Machine Learning Course from Caltech CTME (US only) – https://pg-p.ctme.caltech.edu/ai-machine-learning-bootcamp-online-certification-course?utm_campaign=ArtifiicialIntelligence&utm_medium=Description&utm_source=youtube
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