Название: An Introduction to Machine Learning, 2019 Edition Автор: Gopinath Rebala, Ajay Ravi
Издательство: Springer
Год: 2019
Страниц: 273
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
Machine learning (ML) is the new age electricity. When electricity was discovered, nobody had anticipated the far-reaching effect it would eventually have. Machine learning has the same potential. Many people also consider machine learning (or artificial intelligence) as Industrial Revolution 4.0. There is often an apprehension that ML will cause massive loss of jobs. Our belief is that ML will not cause loss of jobs. Just like advances in electricity and computerization brought in more jobs due to increased productivity, ML has potential to create different kinds of jobs. What is needed is to be future-ready for the shift in nature of jobs.
Many people believe ML only applies to complex activities requiring human level intelligence such as automated driving and playing video/board games better than humans; however, ML has many other much simpler applications. So, ML is not just useful for the elite few. It is for anyone who has interest and willingness to apply it.
This introductory book demystifies ML. It assumes no prior knowledge of ML. We have given more importance to conceptual understanding of the underlying concepts and the algorithms involved in ML and gradual evolution from basics. We have intentionally kept the book to be software language/package and hardware implementation agnostic. Once you understand the concepts, you can implement your algorithms in the language and hardware of your choice.
- Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic;
- Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning;
- Not tied to any specific software language or hardware implementation.
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