دانلود کتاب Advanced Data Science and Analytics with Python – علم داده و تجزیه و تحلیل پیشرفته با پایتون

توضیحات

enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications.

Features:

Targets readers with a background in programming, who are interested in the tools used in data analytics and data science Uses Python throughout Presents tools, alongside solved examples, with steps that the reader can easily reproduce and adapt to their needs Focuses on the practical use of the tools rather than on lengthy explanations Provides the reader with the opportunity to use the book whenever needed rather than following a sequential path
The book can be read independently from the previous volume and each of the chapters in this volume is sufficiently independent from the others, providing flexibility for the reader. Each of the topics addressed in the book tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to the book.

Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered. The book discusses the need to develop data products and addresses the subject of bringing models to their intended audiences – in this case, literally to the users’ fingertips in the form of an iPhone app.

About the Author

Dr. Jess Rogel-Salazar is a lead data scientist in the field, working for companies such as Tympa Health Technologies, Barclays, AKQA, IBM Data Science Studio and Dow Jones. He is a visiting researcher at the Department of Physics at Imperial College London, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK.

————————————————————–

ترجمه ماشینی :

علوم و تجزیه و تحلیل داده های پیشرفته با پایتون دانشمندان داده را قادر می سازد تا به توسعه مهارت های خود ادامه دهند و آنها را در محیط های تجاری و دانشگاهی به کار گیرند. موضوعات مورد بحث در این کتاب مکمل و دنباله‌ای بر مباحث مطرح شده در علوم داده و تجزیه و تحلیل با پایتون هستند. هدف این است که با استفاده از ابزارهای توسعه‌یافته در پایتون مانند SciKit-learn، Pandas، Numpy، Beautiful Soup، NLTK، NetworkX و غیره، حوزه‌های پیشرفته مهم در علم داده را پوشش دهد. توسعه مدل با استفاده از چارچوب هایی مانند Keras، TensorFlow و Core ML و همچنین Swift برای توسعه برنامه های iOS و MacOS پشتیبانی می شود.

ویژگی ها:

خوانندگان با سابقه برنامه نویسی را که به ابزارهای مورد استفاده در تجزیه و تحلیل داده ها و علم داده علاقه مند هستند، هدف قرار می دهد. از Python در سراسر ابزار Presents، در کنار مثال های حل شده، با مراحلی ا

tag : دانلود کتاب علم داده و تجزیه و تحلیل پیشرفته با پایتون , Download علم داده و تجزیه و تحلیل پیشرفته با پایتون , دانلود علم داده و تجزیه و تحلیل پیشرفته با پایتون , Download Advanced Data Science and Analytics with Python Book , علم داده و تجزیه و تحلیل پیشرفته با پایتون دانلود , buy علم داده و تجزیه و تحلیل پیشرفته با پایتون , خرید کتاب علم داده و تجزیه و تحلیل پیشرفته با پایتون , دانلود کتاب Advanced Data Science and Analytics with Python , کتاب Advanced Data Science and Analytics with Python , دانلود Advanced Data Science and Analytics with Python , خرید Advanced Data Science and Analytics with Python , خرید کتاب Advanced Data Science and Analytics with Python ,