Data Science
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Data Science: Innovative Developments in Data Analysis and Clustering
By Francesco Palumbo, Angela Montanari, Maurizio VichiThis edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification.
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Data Science: 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings,...
By Yan Wang, Zeguang Lu, Weipeng Jing... microscopy and 3-D reconstruction of viruses. In: Kuo, J. (ed.) Electron Microscopy. MMB, vol. 1117, pp. 401–443 ... Computational Methods for Three-Dimensional Microscopy Reconstruction. ANHA, pp. 97–132. Springer, New York (2014) ...
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Data Science: An Introduction to Statistics and Machine Learning
By Matthias PlaueThis book is suitable for professionals, students, and instructors who want to master the theory of data science and explore its applications across various domains.
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Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business,...
By Richard HurleyIf you want to learn about Data Science, then keep reading... This book will discuss everything that you need to know when it comes to working in the field of data science.
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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data...
By Herbert Jones2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data ...