Python Machine Learning Book Jupyter
/blob/master/faq/preface_faq.mdThis article explains the purpose of the book and provides an overview of machine learning.
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/blob/master/faq/what-is-machine-learning.rst
Machine learning is a type of artificial intelligence that allows computers to learn from data without being explicitly programmed. It is a branch of artificial intelligence that uses algorithms to identify patterns in data and make decisions based on those patterns. By using machine learning, computers can learn from experience, identify patterns, and make predictions about future events.
Machine learning algorithms are used in a variety of applications, such as predicting customer behavior, recognizing speech, detecting fraud, and analyzing medical images. These algorithms use data to find patterns and make decisions without being explicitly programmed.
Machine learning can be divided into two main categories: supervised and unsupervised learning. Supervised learning algorithms are used when there is a known set of data and labels associated with it. Unsupervised learning algorithms are used when there is no known set of labels and the algorithm must find patterns in the data.
Machine learning is an important tool for data scientists and engineers, as it allows them to quickly and accurately analyze large amounts of data. It is also used in a variety of industries, such as healthcare, finance, and retail, to make decisions and improve operations.
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