{"id":14251,"date":"2023-12-05T18:18:42","date_gmt":"2023-12-05T18:18:42","guid":{"rendered":"https:\/\/lacountystore.com\/\/?p=14251"},"modified":"2023-12-05T18:18:42","modified_gmt":"2023-12-05T18:18:42","slug":"best-books-on-predictive-analytics","status":"publish","type":"post","link":"https:\/\/lacountystore.com\/best-books-on-predictive-analytics\/","title":{"rendered":"20 Best Books On Predictive Analytics (2023 Update)"},"content":{"rendered":"

Are you looking for the Best Books On Predictive Analytics<\/strong>? If so, you’ve come to the right place.<\/p>\n

Choosing the Best Books On Predictive Analytics can be difficult as there are so many considerations, such as Elsevier, Penguin Random House, WHSmith, Amazon.com. We have done a lot of research to find the Top 20 Best Books On Predictive Analytics<\/strong> available.<\/p>\n

The average cost is $51.82<\/i>. Sold comparable range in price from a low of $11.85<\/i> to a high of $124.85<\/i>.<\/p>\n

Based on the research we did, we think Data Mining and Predictive Analytics [Book]<\/strong><\/a> is the best overall. Read on for the rest of the great options and our buying guide, where you can find all the information you need to know before making an informed purchase.<\/p>\n

20 Best Books On Predictive Analytics (19 Sellers)<\/h2>\n
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Product Image<\/span><\/th>\nProduct Name<\/span><\/th>\nFeatures<\/span><\/th>\nCheck Price<\/span><\/th>\n<\/tr>\n<\/thead>\n
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    • Format: ebook<\/li>\n
    • Rental duration: lifetime<\/li>\n
    • Author: daniel t.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today<\/li>\n
    • This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions<\/li>\n
    • Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Offers common use cases to help you get started<\/li>\n
    • Covers details on modeling, k-means clustering, and more<\/li>\n
    • Includes information on structuring your data<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2017-12-19<\/li>\n
    • Number of pages: 406<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Data mining processes, methods, and techniques<\/li>\n
    • The role and management of data<\/li>\n
    • Predictive analytics tools and metrics<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Four new chapters focus on predictive analytics, recognizing the importance of these tools in today&#39;s prediction efforts<\/li>\n
    • Examples of predictive analytics are based on historical data, much like what students may encounter in their own forecasts<\/li>\n
    • Techniques are explained as procedures, allowing students to replicate them with their own data<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • How to conduct data analysis to enhance your business<\/li>\n
    • Which steps to take in performing predictive analysis<\/li>\n
    • What techniques you need to employ to achieve sustainable success<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Examine fraud patterns in historical data<\/li>\n
    • Utilize labeled, unlabeled, and networked data<\/li>\n
    • Detect fraud before the damage cascades<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Understand lean startup, analytics fundamentals, and the data-driven mindset<\/li>\n
    • Look at six sample business models and how they map to new ventures of all sizes<\/li>\n
    • Find the one metric that matters to you<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Highlight, take notes and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Master predictive analytics, from start to finish<\/li>\n
    • Start with strategy and management<\/li>\n
    • Master methods and build models<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2019-03-03<\/li>\n
    • Number of pages: 536<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Think statistically and understand the role variation plays in your life and decision making<\/li>\n
    • Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace<\/li>\n
    • Understand what&#39;s really going on with machine learning, text analytics, deep learning, and artificial intelligence<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Publisher: springer nature switzerland ag<\/li>\n
    • Year published: 2021-12-23<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Used book in good condition<\/li>\n
    • Highlight, take notes, and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Series: advanced research in reliability and system assurance engineering<\/li>\n
    • Binding type: hardback<\/li>\n
    • Publisher: taylor &amp; francis ltd<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 20150717<\/li>\n
    • Number of pages: 100<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2018-02-03<\/li>\n
    • Number of pages: 272<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2018-09-14<\/li>\n
    • Number of pages: 832<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2018-09-14<\/li>\n
    • Number of pages: 832<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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