Analytics – Business Intelligence, Algorithms and Statistical Analysis
In today’s world, analysis has become an extremely important aspect to consider when you are thinking of starting any new line of business or even when it comes to purchasing a new house.
The unfortunate fact is that not many people know what analysis is all about. They tend to assume that each of the elements – analysis, business intelligence, algorithms and statistical analysis – are different entities when in reality they are all interlinked. This book will help you gather a greater insight on all the elements. And you will gain an in-depth knowledge on each of these elements in different parts of the book; helping you to increase your knowledge and widen your horizons!
Here’s what is covered:
Analytics 101 – including the challenges and risksThe Types of Analytics – Predictive, Descriptive and Prescriptive AnalyticsIntegrating Business and Analytics – Chose the right Data and AnalyticsBusiness Analytics Technology – The top emerging technologies, tools and trendsPredictive Analytics – 101Exploring Data Types Associated TechniquesBusiness Intelligence 101Business Intelligence Infrastructure – Benefits and how to use itHow to use the Business Intelligence InfrastructureThe Benefits of Business IntelligenceData MiningData Integration – Including the Value and BenefitsData Visualization Best Algorithms for Analytics -C4.5, K-Means and Support Vector MachinesStatistical Analysis 101Data Mining ToolsMachine LearningVarieties of Machine LearningUses of Machine LearningBig Data AnalyticsArtificial Intelligence and Data Science including – Artificial Intelligence 101Data ScienceAn Introduction to RAnd Much More…
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