Richard M. Reese, Jennifer L. Reese, Alexey Grigorev

Java

Data Science Made Easy

• Broschiertes Buch

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 734
• Erscheinungstermin: 12. Juli 2017
• Englisch
• Abmessung: 235mm x 191mm x 39mm
• Gewicht: 1345g
• ISBN-13: 9781788475655
• ISBN-10: 1788475658
• Artikelnr.: 48768374

Autorenporträt

Richard M. Reese has worked in both industry and academics. For 17 years, he worked in the telephone and aerospace industries, serving in several capacities, including research and development, software development, supervision, and training. He currently teaches at Tarleton State University, where he has the opportunity to apply his years of industry experience to enhance his teaching. Richard has written several Java books and a C Pointer book. He uses a concise and easy-to-follow approach to topics at hand. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, jMonkeyEngine, natural language processing, functional programming, and networks.Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her research interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education. She previously worked as a software engineer developing software for county- and district-level government offices throughout Texas. In her free time she enjoys reading, cooking, and traveling--especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.Alexey Grigorev is a skilled data scientist, machine learning engineer, and software developer with more than 7 years of professional experience. He started his career as a Java developer working at a number of large and small companies, but after a while he switched to data science. Right now, Alexey works as a data scientist at Searchmetrics, where, in his day-to-day job, he actively uses Java and Python for data cleaning, data analysis, and modeling. His areas of expertise are machine learning and text mining, but he also enjoys working on a broad set of problems, which is why he often participates in data science competitions on platforms such as kaggle.