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Real-world tips for creating business value
Details on modeling, data clustering, and more
Enterprise use cases to help you get started
Learn to predict the future!
Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board, and more.
Inside...
- How to start a project
- Identifying data types
- Modeling tips
- Working with algorithms
- How data clustering works
- How data classification works
- How deep learning works
- Advice on presentations
- Step-by-step predictive modeling
Real-world tips for creating business value
Details on modeling, data clustering, and more
Enterprise use cases to help you get started
Learn to predict the future!
Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board, and more.
Inside...
- How to start a project
- Identifying data types
- Modeling tips
- Working with algorithms
- How data clustering works
- How data classification works
- How deep learning works
- Advice on presentations
- Step-by-step predictive modeling
Anasse Bari, Ph.D. is data science expert and a university professor who has many years of predictive modeling and data analytics experience.
Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods.
Tommy Jung is a software engineer with expertise in enterprise web applications and analytics.
| Erscheinungsjahr: | 2016 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 464 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781119267003 |
| ISBN-10: | 1119267005 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Bari, Anasse
Chaouchi, Mohamed Jung, Tommy |
| Hersteller: | John Wiley & Sons Inc |
| Maße: | 233 x 187 x 27 mm |
| Von/Mit: | Anasse Bari (u. a.) |
| Erscheinungsdatum: | 09.12.2016 |
| Gewicht: | 0,618 kg |
Anasse Bari, Ph.D. is data science expert and a university professor who has many years of predictive modeling and data analytics experience.
Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods.
Tommy Jung is a software engineer with expertise in enterprise web applications and analytics.
| Erscheinungsjahr: | 2016 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 464 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781119267003 |
| ISBN-10: | 1119267005 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Bari, Anasse
Chaouchi, Mohamed Jung, Tommy |
| Hersteller: | John Wiley & Sons Inc |
| Maße: | 233 x 187 x 27 mm |
| Von/Mit: | Anasse Bari (u. a.) |
| Erscheinungsdatum: | 09.12.2016 |
| Gewicht: | 0,618 kg |
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