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Название: Machine Learning : The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics. Learn the Building Block Algorithms and the Machine Learning’s Application in the Modern Life
Автор: Mark Graph
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 239
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

With the help of in-depth explanations, concepts and ideas regarding machine learning and artificial intelligence, beginners can develop basic AI models that are capable of making accurate predictions and data insights with the best performance. Thus, this book is most suitable for beginners who have an interest in methodologies of artificial intelligence and deep learning.

Big data analytics and data sciences have brought a major breakthrough in the current world by introducing models that bring long-term benefits to businesses and industries. By understanding the algorithms and approaches explained in this book, beginners can develop state of the art machine learning models for solving real work problems.

By reviewing possible challenges, performances and implementations of artificial intelligence, neural networks, big data analytics and deep learning, applications of AI can be developed to improve workflow and system efficiency as well. Moreover, industries and businesses can greatly promote their sales, profits and performance by considering the techniques and methods set out in this book.

However, this book is not only for beginners. Researchers and experts can learn about the latest the findings on artificial intelligence and machine learning for developing powerful algorithms and models.

Artificial intelligence and machine learning approaches will definitely help in bringing positive changes to our daily lives. For learning and adopting the major findings, rules and techniques of artificial intelligence and deep learning, reading “Machine Learning For Beginners: The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics. Learn the Building Block Algorithms and the Machine Learning’s Application in the Modern Life” will surely prove to be of great benefit for students and researchers.

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