Solutions Review has done the research for you, having reviewed many of these books. We’ve carefully selected the top business analytics books based on relevance, popularity, ratings, publish date, and ability to add business value. Each book listed has a minimum of 10 Amazon user reviews and...
Robert Sheldon is a freelance technology writer. He has written numerous books, articles and training materials on a wide range of topics, including big data, generative AI, 5D memory crystals, the dark web and the 11th dimension.
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With practice, more advanced techniques like sentiment analysis of news articles, and social media can also be incorporated. The learning can be applied to personal finance decisions too. Overall, it makes for an interesting real-world project to gain hands-on experience in analytics using real st...
A great blog for those who want a detailed, in-depth analysis of a wide variety of topics, Conversable Economist is a well-written blog that is backed up with statistics and data. The blog is written by Timothy Taylor, the author of several economics books, a lecturer for the Teaching Co...
Techniques Statistical Analysis, Data mining, visualization Machine learning, Deep learning, and Natural language processing. Example Analyze the website traffic data to understand the behavior of users. Building a model to predict future sales trends. 2. What is Supervised Learning? Supervised learnin...
(Massaro et al.2016; Secinaro et al.2022). Other types of sources, such as books, book chapters, and conference papers, are excluded from consideration as they are not usually subjected to the same rigorous review process as conceptual, empirical, and review articles published in journals (...
12. Root Cause Analysis (RCA) Root Cause Analysis is a precise procedure applied to establish why a certain problem has occurred. The idea is to identify the sources of the issues so that relevant actions can be taken to avoid further occurrence. The common tools used in RCA include Five ...
Thanks to its predictive abilities, AI can use your analytics data to forecast product demand based on available stock, seasonal trends, past purchase behavior, and more. Based on this data analysis, businesses can improve how they stock products, purchase inventory, or purchase materials. They ca...
Journals & Books Help Search My accountSign inOutline Highlights Abstract Keywords 1. Introduction 2. Composite in-service properties 3. Composite mechanical properties 4. Textile preforms & low-twist reinforcements for composites 5. Hemp fibre processing and hemp stem decortication plus separation 6....