Bari, Anasse
Predictive analytics for dummies / Anasse Bari; Mohamed Chaouchi; Tommy Jung - 2nd edition - Hoboken, NJ : Wiley, 2017. - viii, 443 p. : ill. ; 24 cm. - For dummies. .
Includes index.
"Learn to: Analyze structured and unstructured data ; Use algorithms and data analysis techniques ; Build clustering, classificaion and statistical models ; Apply predictive analytics to your website and marketing efforts"--Cover.
Introduction. --
pt. 1. Getting started with predictive analytics. Entering the arena ; Predictive analytics in the wild ; Exploring your data types and associated techniques ; Complexities of data --
pt. 2. Incorporating algorithms in your models. Applying models ; Identifying similarities in data ; Predicting the future using data classification --
pt. 3. Developing a roadmap. Convincing your management to adopt predictive analytics ; Preparing data ; Building a predictive model ; Visualization of analytical results --
pt. 4. Programming predictive analytics. Creating basic prediction examples ; Creating basic examples of unsupervised predictions ; Predictive modeling with R ; Avoiding analysis traps ; Targeting big data --
pt. 5. The part of tens. Ten reasons to implement predictive analytics ; Ten steps to build a predictive analytic model.
9788126567935
Decision making -- Data processing.
Decision making -- Mathematical models.
Management -- Data processing.
Management -- Mathematical models.
Data mining.
Big data.
658.4034 BAR
Predictive analytics for dummies / Anasse Bari; Mohamed Chaouchi; Tommy Jung - 2nd edition - Hoboken, NJ : Wiley, 2017. - viii, 443 p. : ill. ; 24 cm. - For dummies. .
Includes index.
"Learn to: Analyze structured and unstructured data ; Use algorithms and data analysis techniques ; Build clustering, classificaion and statistical models ; Apply predictive analytics to your website and marketing efforts"--Cover.
Introduction. --
pt. 1. Getting started with predictive analytics. Entering the arena ; Predictive analytics in the wild ; Exploring your data types and associated techniques ; Complexities of data --
pt. 2. Incorporating algorithms in your models. Applying models ; Identifying similarities in data ; Predicting the future using data classification --
pt. 3. Developing a roadmap. Convincing your management to adopt predictive analytics ; Preparing data ; Building a predictive model ; Visualization of analytical results --
pt. 4. Programming predictive analytics. Creating basic prediction examples ; Creating basic examples of unsupervised predictions ; Predictive modeling with R ; Avoiding analysis traps ; Targeting big data --
pt. 5. The part of tens. Ten reasons to implement predictive analytics ; Ten steps to build a predictive analytic model.
9788126567935
Decision making -- Data processing.
Decision making -- Mathematical models.
Management -- Data processing.
Management -- Mathematical models.
Data mining.
Big data.
658.4034 BAR
