دانلود کتاب تجزیه و تحلیل داده ها – مدل ها و الگوریتم ها برای تجزیه و تحلیل هوشمند داده ها

The information in the world doubles every 20 months. Important data sources are business and industrial processes, text and structured databases, images and videos, and physical and biomedical data. Data analytics allows to find relevant information, structures, and patterns, to gain new insights, to identify causes and effects, to predict future developments, or to suggest optimal decisions. We need models and algorithms to collect, preprocess, analyze, and evaluate data. This involves methods from various fields such as statistics, machine learning, pattern recognition, systems theory, operations research, or artificial intelligence.With this book, you will learn about the most important methods and algorithms for data analytics. You will be able to choose appropriate methods for specific tasks and apply these in your own data analytics projects. You will understand the basic concepts of the growing field of data analytics, which will allow you to keep pace and to actively contribute to the advancement of the field. This text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. The book is structured according to typical practical data analytics projects. Only basic mathematics is required. This material has been used for many years in courses at the Technical University of Munich, Germany, and at many other universities. Much of the content is based on the results of industrial research and development projects at Siemens.

The following list shows the history of the book versions:

• Data Analytics, third edition, 2020, English
• Data Analytics, second edition, 2016, English
• Data Mining, second edition, 2015, German
• Data Analytics, 2012, English
• Data Mining, 2010, German
• InformationMining, 2000, German