Machine Learning Fundamentals: A Concise Introduction

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ASIN ‏ : ‎ B09GL1Q3G9
Publisher ‏ : ‎ Cambridge University Press (November 25, 2021)
Publication date ‏ : ‎ November 25, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 39230 KB
Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
Text-to-Speech ‏ : ‎ Not enabled
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Format ‏ : ‎ Print Replica

Machine Learning Fundamentals: A Concise Introduction

Machine learning is a powerful tool that is revolutionizing industries across the globe. In simple terms, machine learning is a subset of artificial intelligence that allows computers to learn from data without being explicitly programmed. Instead of relying on rules-based programming, machine learning algorithms can analyze large amounts of data, identify patterns, and make predictions or decisions based on that data.

There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

– Supervised learning involves training a model on a labeled dataset, where the correct answers are provided, and then using that model to make predictions on new, unseen data.
– Unsupervised learning involves training a model on an unlabeled dataset, where the correct answers are not provided, and the model must find patterns or structures in the data on its own.
– Reinforcement learning involves training a model to interact with an environment and learn from the consequences of its actions, with the goal of maximizing a reward.

Some common machine learning algorithms include linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Each algorithm has its own strengths and weaknesses, and the choice of algorithm depends on the specific problem being solved.

Machine learning is being used in a wide range of applications, including image and speech recognition, natural language processing, recommendation systems, autonomous vehicles, and more. As the field continues to advance, the possibilities for using machine learning to solve complex problems are endless.

In conclusion, machine learning is a powerful tool that is changing the way we approach problem-solving and decision-making. By understanding the fundamentals of machine learning and its various applications, you can unlock the potential to leverage this technology in your own projects and make a positive impact in your industry.
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