Early Release. — O’Reilly Media, 2016. — 90 p. — ISBN13: 978-1-491-95289-4. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and...
Manning Publications, 2016. — 320 p. — ISBN: 978-1633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data ScienceIntroducing Data...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
O’Reilly Media, Inc., 2022. — 250 p. — ISBN: 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
Wiley, 2014. — 240 p. — ISBN 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
McGraw-Hill Education, 2019. — 329 p. — ISBN: 978-1-26-045278-5. Use machine learning to understand your customers, frame decisions, and drive value Spreadsheet models and pivot tables were once the cutting-edge tools of business analysis. But the Big Data revolution has changed everything. Tasks that once required armies of business analysts are being automated and scaled with...
Packt Publishing, 2017. — 327 p. — ISBN: 978-1785886188. True PDF Key Features A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and...
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