It’s worth getting to know both of these before digging into specific analysis methods. Quantitative data. Quantitative data is measurable, numerical data, often gathered through closed-ended survey questions and data analytics tools. It focuses on answering questions related to “how much” or “...
Game Data Analysis:Tools and Methods是Coupart Thibault创作的计算机网络类小说,QQ阅读提供Game Data Analysis:Tools and Methods部分章节免费在线阅读,此外还提供Game Data Analysis:Tools and Methods全本在线阅读.
Users want to get complete knowledge from big amount of data of different kinds and formats in all possible environments. Full exploitation of the knowledge hidden in huge databases is possible only if we apply efficient methods of analysis what imposes rediscovering new techniques for storage, data...
计算机网络操作系统2.3万字 更新时间:2021-07-21 18:23:59 书籍简介 Thisbookfeaturesanintroductiontothebasictheoreticaltenetsofdataanalysisfromagamedeveloper’spointofview,aswellasapracticalguidetoperforminggameplayanalysisonareal-worldgame.Thisbookisidealforvideogamedeveloperswhowanttotryandexperimentwiththegameanalytic...
Get advanced data analysis, from number crunching and spreadsheets to decision-support and strategy, including access to useful and practical Excel guidance. Plus, find out how big data is used and can benefit the accountancy profession.
Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
These Data Science tools form the backbone of data science workflows, enabling data scientists to collect, process, analyze, visualize, and model data effectively.
Use software tools to process and interpret the data, uncovering valuable insights that can guide decision-making. Techniques and methods for data analytics. Data analysts unlock the potential of data with several different methods, allowing them to process data and extract valuable information. Below...
RapidMiner is an excellent open-source tool for Big Data Analytics that can handle data preparation, model development, and deployment, as well as custom data mining methods and predictive setup analysis through a series of add-ons. It is developed in Java and performs efficiently, even when use...
and enhance the decision making. In the past, variousdata analysis toolsand methods have been adopted to improve the services provided in a plethora of areas. The improvements are in terms of the effectiveness of predictions and inferences drawn so that future usage may be eased. This book ...