Описание: Focusing on the human factors involved with information security, this book explains why all the firewalls and encryption protocols in the world will never be enough to stop a savvy grifter intent on rifling a corporate database or an irate employee determined to crash a system.
Автор: Williams, Branden (cissp And Cism) Adamson, James Название: Pci compliance ISBN: 0367570033 ISBN-13(EAN): 9780367570033 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: CI DSS is now in its 18th year and it is continuing to dominate corporate security budgets and resources. If you accept, process, transmit, or store payment card data branded by Visa, MasterCard, American Express, Discover, or JCB (or their affiliates and partners), you must comply with this lengthy standard.
Автор: John Pirc Название: Threat Forecasting ISBN: 0128000066 ISBN-13(EAN): 9780128000069 Издательство: Elsevier Science Рейтинг: Цена: 5893.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "
Threat Forecasting: Leveraging Big Data for Predictive Analysis" discusses the dangers associated with relying on historical data, security incident reports, and network analysis to predict future security breaches. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk.
Drawing upon years of practical experience and using numerous examples and illustrative case studies, the book discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. In addition, the book includes a proven methodology that can be used to create a full threat forecast analysis for enterprise networks of any size. Discusses the danger of using historic data as the basis for predicting future breachesExplains how to use security intelligence as a tool to develop threat forecasting techniquesPresents case studies and actual data to demonstrate threat data visualization techniques and threat simulation toolsExplores the usage of kill chain modeling to inform actionable security intelligencePresents a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size
Автор: Nopasit Chakpitak; Vladik Kreinovich; Songsak Srib Название: Predictive Econometrics and Big Data ISBN: 3319709410 ISBN-13(EAN): 9783319709413 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques - which directly aim at predicting economic phenomena; and big data techniques - which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems.
Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.
Want to predict what your customers want to buy without them having to tell you? Want to accurately forecast sales trends for your marketing team better than any employee could ever do? Then keep reading.
You've heard it before. The rise of artificial intelligence and how it will soon replace human beings and take away our jobs. What exactly is it capable of and how does this impact me? The real question you should be asking yourself is how can I use this to my advantage? How can I use machine learning to benefit my business and surpass my business goals? This book has the answer.
Designed for the tech novice, this book will break down the fundamentals of machine learning and what it truly means. You will learn to leverage neural networks, predictive modelling, and data mining algorithms, illustrated with real-world applications for finance, business and marketing.
Machine learning isn't just for scientists or engineers anymore. It's become accessible to anyone, and you can discover it's benefits for your business.
In Machine Learning for Beginners 2019, we will reveal:
✅ The fundamentals of machine learning.
✅ Each of the buzzwords defined
✅ 20 real-world applications of machine learning.
✅ How to predict when a customer is about to churn (and prevent it from happening).
✅ How to "upsell" to your customers and close more sales.
✅ How to deal with missing data or poor data.
✅ Where to find free datasets and libraries.
✅ Exactly which machine learning libraries you need.
✅ And much much more
I know you might be overwhelmed at this point, but I assure you this book has been designed for absolute beginners. Everything is in plain English. There is no code, so no coding experience is required. You won't walk away a machine learning god, but you will walk away with key strategies you can implement right away to improve your business.
���� If you are ready to start making big changes to your business, scroll up and click buy. ����
Автор: Vladik Kreinovich; Songsak Sriboonchitta; Nopasit Название: Predictive Econometrics and Big Data ISBN: 3319890182 ISBN-13(EAN): 9783319890180 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.
Описание: This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data.
Автор: Jansen Stefan Название: Machine Learning for Algorithmic Trading - Second Edition ISBN: 1839217715 ISBN-13(EAN): 9781839217715 Издательство: Неизвестно Рейтинг: Цена: 12665.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading ...
Автор: Ashish Khanna, Nhu Gia Nguyen, Rajshree Srivastava, Siddhartha Bhattacharyya Название: Predictive Intelligence in Biomedical and Health Informatics ISBN: 3110676087 ISBN-13(EAN): 9783110676082 Издательство: Walter de Gruyter Рейтинг: Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Автор: Biecek, Przemyslaw , Burzykowski, Tomasz Название: Predictive Models ISBN: 0367135590 ISBN-13(EAN): 9780367135591 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about a new field in statistical machine learning - about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.
