Make sense of your data and predict the unpredictableAbout This BookA unique book that centers around develop six key practical skills needed to develop and implement predictive analyticsApply the principles and techniques of predictive analytics to effectively interpret big dataSolve real-world analytical problems with the help of practical case studies and real-world scenarios taken from the world of healthcare, marketing, and other business domainsWho This Book Is ForThis book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues.
Over insightful 90 recipes to get lightning-fast analytics with Apache SparkAbout This BookUse Apache Spark for data processing with these hands-on recipesImplement end-to-end, large-scale data analysis better than ever beforeWork with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your dataWho This Book Is ForThis book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework.
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.
Become an expert at using Python for advanced statistical analysis of data using real-world examplesKey Features[*] Clean, format, and explore data using graphical and numerical summaries[*] Leverage the IPython environment to efficiently analyze data with Python[*] Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataBook DescriptionPython, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.
An insider's guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data.
This book will inform and inspire librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience.
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack.
Data can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field.
It is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a 'data model' to represent the information that has to be handled by the system.
It is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a 'data model' to represent the information that has to be handled by the system.
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance.
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance.
First place winner in Educational Products at the 2021 International Cartographic Conference Maps are ubiquitous, yet maps are not made equally, nor are they read equally.