How to think about data science /, Miranda-Saavedra, Diego,
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Maosong Sun, Xiaojie Wang, Baobao Chang Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data ISBN: 3319690043 ISBN-13(EAN): 9783319690049 Издательство: Springer Рейтинг: Цена: 5300.00 р. Наличие на складе: Есть (3 шт.) Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.
Автор: Masland, Richard Название: We know it when we see it ISBN: 1786078163 ISBN-13(EAN): 9781786078162 Издательство: TBS/GBS Рейтинг: Цена: 3364.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Definitive pop science from a world expert.
The truth is: Python, an advanced third-generation programming language come scripting language, has shown an extraordinary growth in terms of popularity and usage in the last 5 years.
But why Python? Why IT industries are choosing python over anything else? Why one must learn Python keeping in mind the current market situation? Obviously, there are several reasons behind it, let's explore...
Whether you are already a programmer or a newcomer to the programming world, Python offers you to code with the ultimate simple syntaxes and lets you focus on programming logic. A huge relief from the fear of compilation error
With the increasing popularity and usage of Python in every field of IT, huge requirements have been created and recruiters are looking for experienced Python professionals as well as freshers having knowledge on Python. And, of course, yes, Python professionals are one of the highest paid among all.
Python provides programmers with a huge extensive 'built-in library' which can reduce programming effort drastically, days' effort can come down to hours. Thus a significant amount of cost-saving has been accounted and as a result, IT industries, as well as, freelancers are tending to be inclined more towards Python.Python is being widely used in every sector of IT.
DOWNLOAD: Learn Python Programming, Python Programming Will Teach You About the Python Language, Data Analysis and Algorithms and Will Level Up Your Skills in Computer Programming to Become and Expert Pythonista.
Python is being widely used in each and every sector of IT.
Product development: From companies like Google, Amazon, Facebook, Instagram to start-ups and service-based MNCs are using Python to develop their software.
Software Testing: All the testing tools are being migrated to collaborate with Python from Java, Ruby and other languages.
Data Science: Python provides many libraries and frameworks (e.g PyBrain, NumPy, SymPy, matplotlib, PyMySQL) which can be used effectively in data analysis.
Artificial Intelligence: Again due to the vast 'in-built library functions' and simple syntaxes, Python is being used in every sector of Machine learning and robotics.
Python is also being used in Server configuration, Scripts for desktop programs, building Raspberry Pi applications
The goal of the eBook is simple: A great guide to learn Python and know about its widespread applications, the eBook helps to become quite an expert in the language.
You will also learn:
What is python programming
How to install python
Data types used in python
methods and functions of python
Conditional programming
Loops
processing data analysis and algorithms
Object oriented programming in python
Teaching you the python language
Important python frameworks
Would you like to know more?
Автор: Z. Pawlak Название: Rough Sets ISBN: 9401055645 ISBN-13(EAN): 9789401055642 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.
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Автор: Xiaohui Liu; Paul Cohen; Michael R. Berthold Название: Advances in Intelligent Data Analysis. Reasoning about Data ISBN: 3540633464 ISBN-13(EAN): 9783540633464 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997.The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J.
Автор: Moody Название: Big Data and Public Policy ISBN: 3031160304 ISBN-13(EAN): 9783031160301 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive overview of how the course, content and outcome of policy making is affected by big data. It scrutinises the notion that big and open data makes policymaking a more rational process, in which policy makers are able to predict, assess and evaluate societal problems. It also examines how policy makers deal with big data, the problems and limitations they face, and how big data shapes policymaking on the ground. The book considers big data from various perspectives, not just the political, but also the technological, legal, institutional and ethical dimensions. The potential of big data use in the public sector is also assessed, as well as the risks and dangers this might pose. Through several extended case studies, it demonstrates the dynamics of big data and public policy. Offering a holistic approach to the study of big data, this book will appeal to students and scholars of public policy, public administration and data science, as well as those interested in governance and politics.
Описание: This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
Название: 97 Things about Ethics Everyone in Data Should Know ISBN: 1492072664 ISBN-13(EAN): 9781492072669 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically.
Описание: These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.
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