Introduction to Machine Learning | What is Machine Learning | Intellipaat
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This introduction to machine learning video is a short demo on what is machine learning and how we all are surrounded with machine learning applications around us. You will learn how machines are being trained by various algorithms such as supervised learning, unsupervised learning and reinforcement learning.
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📕Read complete Machine Learning tutorial here: https://intellipaat.com/tutorial/machine-learning-tutorial/
🔗 Watch AI & Machine Learning video tutorials here: https://www.youtube.com/watch?v=4gqZLajDWh8&list=PLVHgQku8Z935nzWr8F1_KLiuMnzlGaAbR
🔗Get Machine Learning cheat sheet here: https://intellipaat.com/tutorial/machine-learning-tutorial/mllib-cheat-sheet/
📝Following topics are covered in this video:
Applications of Machine Learning - 0:05
What is Machine Learning? - 1:32
Analogy - 1:49
Classification of Machine Learning - 3:07
Supervised Learning - 3:11
Unsupervised Learning - 3:33
Reinforcement Learning - 4:01
Interested to learn machine learning still more? Please check similar machine learning blogs here:- https://bit.ly/2I5x3lr
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Why should you watch this machine learning Video?
Machine learning is one of the fastest growing arms of the domain of artificial intelligence. It has far reaching consequences and in the next couple of years we will be seeing every industry deploying the principles of artificial intelligence, machine learning and deep learning technologies at scale.
Who should watch this machine learning video?
This machine learning video is for everybody right from professionals in analytics, data science domains, eCommerce, or in search engine domains. If you are a Software professionals looking for a career switch and fresh graduates then also you can watch this tutorial.
Why machine learning is important?
Machine learning might just be one of the most important fields of science that we are just moving towards. It differs from other science in the sense that this is one of the one domains where the input and output are not directly correlated and neither do we provide the input for every task that the machine will perform. It is more about mimicking how humans think and solving real world problems like humans without actually the intervention of humans. It focuses on developing computer programs that can be taught to grown and change when exposed to data.
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