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8 books on AI Predictive Analytics [PDF]
October 24, 2024 | 21 |
Predictive Analytics allows you to forecast future events, such as a 12-month sales forecast or an analysis of the likelihood of a cash flow gap (whether it will happen in the near future and when exactly it might occur). It is a combination of methods for collecting and subsequently analyzing data based on information on past events. By examining the collected and analyzed indicators, a vector of future events is determined. Knowing what will happen in the future helps you find optimal solutions for any given situation.
How can Predictive Analytics help in business?
Books often give such examples as predicting production downtime or potential equipment failures in manufacturing. This will help you understand when equipment maintenance and possible replacement parts are needed. Or in sales, forecasting seasonal demand for certain products allows a retailer to purchase in advance of the upcoming season. Or in banking, when you need to understand whether you have a reliable client who needs a loan (having information about them through analysis of their income, employment, social networks - you can predict whether a loan can be granted to this client or not).
The range of applications is vast and the list goes on and on. In short, if you've decided you want to stay informed and avoid panicking, to be prepared for any changes and to improve the efficiency of your business at various levels, you need to learn predictive analytics.
Here are some PDF books about predictive analytics:
1. Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics
2025 by Meghna Sharma, Priyanka Vashisht, A. V. Senthil Kumar, Chitra Singh, Abdelmalek Amine
This book (in particular) tells about the use of predictive analytics in medicine. Three main cases of its use are the following: 1. prediction of a patient's disease development, 2. prediction of the medical resources usage during an epidemic (for example, occupancy of beds, oxygen intensive care units), 3. predicting breakdowns/repairs of medical equipment. Interestingly, each of the three cases uses a different technology. To predict the development of a disease, universal large language models (trained on a large amount of medical literature, publications and real cases) are used. To predict the development of an epidemic, mathematical models (developed in the past) are used. To predict equipment breakdowns, ML models of the manufacturer (which receive data from various sensors as input and find dangerous patterns) are used.
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2. Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios
2023 by Felix Weber
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3. The Power of AI Prediction
2023 by HUATENG OU
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4. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-time Interventions
2022 by Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le
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5. Predictive Analytics Applications with WEKA
2021 by Shuzlina Abdul Rahman & Sofianita Mutalib
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6. Applying Predictive Analytics: Finding Value in Data
2019 by Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi
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7. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
2016 by Eric Siegel
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8. Predictive Analytics for Human Resources
2014 by Jac Fitz-enz, John Mattox, II
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How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
How can Predictive Analytics help in business?
Books often give such examples as predicting production downtime or potential equipment failures in manufacturing. This will help you understand when equipment maintenance and possible replacement parts are needed. Or in sales, forecasting seasonal demand for certain products allows a retailer to purchase in advance of the upcoming season. Or in banking, when you need to understand whether you have a reliable client who needs a loan (having information about them through analysis of their income, employment, social networks - you can predict whether a loan can be granted to this client or not).
The range of applications is vast and the list goes on and on. In short, if you've decided you want to stay informed and avoid panicking, to be prepared for any changes and to improve the efficiency of your business at various levels, you need to learn predictive analytics.
Here are some PDF books about predictive analytics:
1. Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics
2025 by Meghna Sharma, Priyanka Vashisht, A. V. Senthil Kumar, Chitra Singh, Abdelmalek Amine
This book (in particular) tells about the use of predictive analytics in medicine. Three main cases of its use are the following: 1. prediction of a patient's disease development, 2. prediction of the medical resources usage during an epidemic (for example, occupancy of beds, oxygen intensive care units), 3. predicting breakdowns/repairs of medical equipment. Interestingly, each of the three cases uses a different technology. To predict the development of a disease, universal large language models (trained on a large amount of medical literature, publications and real cases) are used. To predict the development of an epidemic, mathematical models (developed in the past) are used. To predict equipment breakdowns, ML models of the manufacturer (which receive data from various sensors as input and find dangerous patterns) are used.
Download PDF
2. Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios
2023 by Felix Weber
Download PDF
3. The Power of AI Prediction
2023 by HUATENG OU
Download PDF
4. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-time Interventions
2022 by Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le
Download PDF
5. Predictive Analytics Applications with WEKA
2021 by Shuzlina Abdul Rahman & Sofianita Mutalib
Download PDF
6. Applying Predictive Analytics: Finding Value in Data
2019 by Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi
Download PDF
7. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
2016 by Eric Siegel
Download PDF
8. Predictive Analytics for Human Resources
2014 by Jac Fitz-enz, John Mattox, II
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
