Название: Essentials of Python for Artificial Intelligence and Machine LearningАвтор: Pramod Gupta, Anupam Bagchi
Издательство: Springer
Год: 2024
Страниц: 524
Язык: английский
Формат: pdf (true)
Размер: 18.2 MB
This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python’s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in the industry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.
Our goal is to teach you how to easily wrangle your data, so you can spend more time focused on the analysis and modeling. By the time you finish working through this book, you will have good knowledge and skills to deal with Machine Learning or Artificial Intelligence project using Python. We encourage you to follow along and apply the code described in each chapter. This book is for folks who want to explore data mining, Machine Learning, and Artificial Intelligence with Python. Additionally, if you are coming from another language and want to get started with Python, you will find this book useful. If you are new to Python, rest easy- we will guide every step of the way. If on the other hand, you are an old Python hand exploring, the book is structured so that you can learn the new information you need for data science, without wasting time on already-known information. In summary, this book is for anyone interested in exploring Python programming for Data Science and Machine Learning.
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