Скачать или смотреть Machine Learning for Data Science Part 1 | Machine Learning Tutorial for Beginners 2018

Machine Learning for Data Science | Machine Learning Tutorial 2018 | Machine Learning for Beginners
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Hello and welcome to machine learning tutorial for data science powered by Acadgild. This tutorial is the part of Data Science tutorial which deals with the following topics,
• Introduction to Machine Learning
• What is Machine Learning
• How Machine Learning Works
• Workflow in Machine Learning
• Different types of Machine Learning

Let’s go in-deep with the above topics:

What is 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 by themselves.
The process of learning begins with observations of data, such as examples, direct experience or instruction, in order to look for patterns in data and make better decisions in the future based on these examples that we provide. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

How does Machine Learning work?
Suppose, we want to buy the best web camera available in the market, in real life the process we’d follow would be to look at several product reviews describing qualities about the model we consider purchasing for example, if we see that the reviews mostly consist of words like good, great, excellent etc. then we’d conclude that the webcam is good and we usually proceed to purchase it. Whereas if the reviews like bad, not good quality, poor resolution, then we conclude that it is probably better to look for another webcam. So, you see the reviews help us perform a decisive action based on the pattern of words that exist in the product reviews.

Hence, the relationship among the buyers who purchased the webcam and wrote product reviews will influence other buyers and their product reviews, in turn, will influence the future purchase. Thus, a pattern exists across the people who already purchased the product and the future buyers of the product.

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