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Artificial Intelligence & Machine Learning - Ebook

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Instructor: Eduonix Learning Solutions Enroll Now - Artificial Intelligence & Machine Learning - Ebook About this Course From the time of the Church-Turing thesis that suggested machines will be able to perform tasks akin to human beings to self-driving cars in Phoenix; Artificial Intelligence (AI) and Machine Learning has evolved significantly. Since then, it has gradually become part of many common devices. Because of its applications, people are showing tremendous interest to learn this subject. Moreover, already numerous tutorials, courses, and books are available for its learning. The e-book titled Artificial Intelligence and Machine Learning is an excellent tool if you are keen on the subject.


Difference between Machine learning and Artificial Intelligence

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Machine Learning and Artificial intelligence are two hot topics, and often seem to be used interchangeably. "The ability of machines to work and think, like the human brain, is called Artificial Intelligence." Artificial intelligence can be interpreted as adding human intelligence in machine. Artificial intelligence is not a system but a discipline that focuses on making machine smart enough to tackle the problem like human brain does. Machine Learning is the subset of AI.



The Best Machine Learning Resources – Machine Learning for Humans – Medium

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For those considering an autodidactic alternative, this is for you. You can't go deeply into every machine learning topic. There's too much to learn, and the field is advancing rapidly. Motivation is far more important than micro-optimizing a learning strategy for some long-term academic or career goal. If you're trying to force yourself forward, you'll slow down.


2018 Trends in AI & Machine Learning - AI Trends

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Previous Webinars – This webinar looks ahead to 2018 and developments we might see in the development and application of artificial intelligence and machine learning. With the pace of change so rapid in this area, predictions may be especially hard, but we will look at overall trends and pinpoint some areas of expected innovation. We will also examine the use cases we're seeing now and expect to see in 2018. And while it's very still very early days in the evolution of AI/ML but we will also look at areas of potential caution as the technology and market for it evolves.