Daftar istilah, bibliografi, dan indeks
Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. Included Appendix, Bibliography, and Index
Bibliografi dan indeks, Terdapat 5 Volume
indeks
SMEs make the most of the industrial fabric in many countries and regions, they create jobs (most jobs sometimes) and are the cement of inclusive and sustainable societies. The SME digital gap has increased inequalities among people, places and firms, and there are concerns that the benefits of the digital transformation could accrue to early adopters, further broadening these inequalities.
The eighth edition of Chapra and Canale's 'Numerical Methods for Engineers' retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving.
This book addresses global digital data governance from polycentric perspectives. Theories of (global) digital data governance remain little consolidated, with monodisciplinary accounts and different approaches focusing on actors, processes and norms.
Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication …
Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as…