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The Decision Maker's Handbook to Data Science : AI and Data Science for Non-Technical Executives, Managers, and Founders / / by Stylianos Kampakis
| The Decision Maker's Handbook to Data Science : AI and Data Science for Non-Technical Executives, Managers, and Founders / / by Stylianos Kampakis |
| Autore | Kampakis Stylianos |
| Edizione | [3rd ed. 2024.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024 |
| Descrizione fisica | 1 online resource (189 pages) |
| Disciplina | 005.7/3 |
| Soggetto topico |
Data structures (Computer science)
Information theory Data mining Quantitative research Big data Data Structures and Information Theory Data Mining and Knowledge Discovery Data Analysis and Big Data Big Data |
| ISBN |
9798868802799
9798868802782 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Demystifying Data Science, AI and All the Other Buzzwords -- Chapter 2: Data Management -- Chapter 3: Data Collection Problems -- Chapter 4: How to Keep Data Tidy -- Chapter 5: Thinking like a Data Scientist (Without Being One) -- Chapter 6: A Short Introduction to Statistics -- Chapter 7: A Short Introduction to Machine Learning -- Chapter 8: An introduction to AI -- Chapter 9: Problem Solving -- Chapter 10: Pitfalls -- Chapter 11: Hiring and Managing Data Scientists -- Chapter 12: Building a Data-Driven Culture -- Chapter 13: AI Ethics -- Chapter 14: The Future of AI and Data Science. Epilogue: Data Science Rules the World -- Appendix: Tools for Data Science. |
| Record Nr. | UNINA-9910869161403321 |
Kampakis Stylianos
|
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Decision Maker's Handbook to Data Science : A Guide for Non-Technical Executives, Managers, and Founders / / by Stylianos Kampakis
| The Decision Maker's Handbook to Data Science : A Guide for Non-Technical Executives, Managers, and Founders / / by Stylianos Kampakis |
| Autore | Kampakis Stylianos |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (154 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Data structures (Computer science)
Data mining Big data Data Structures and Information Theory Data Mining and Knowledge Discovery Big Data/Analytics Big Data |
| ISBN |
9781523150502
1523150505 9781484254943 1484254945 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Demystifying Data Science and All the Other Buzzwords -- Chapter 2: Data Management -- Chapter 3: Data Collection Problems -- Chapter 4: How to Keep Data Tidy -- Chapter 5: Thinking like a Data Scientist (Without Being One) -- Chapter 6: A Short Introduction to Statistics -- Chapter 7: A Short Introduction to Machine Learning -- Chapter 8: Problem Solving -- Chapter 9: Pitfalls -- Chapter 10: Hiring and Managing Data Scientists -- Chapter 11: Building a Data-Science Culture -- Chapter 12: Epilogue: Data Science Rules the World -- Appendix A: Tools for Data Science -- . |
| Record Nr. | UNINA-9910369900003321 |
|
Kampakis Stylianos
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Predicting the Unknown : The History and Future of Data Science and Artificial Intelligence / / by Stylianos Kampakis
| Predicting the Unknown : The History and Future of Data Science and Artificial Intelligence / / by Stylianos Kampakis |
| Autore | Kampakis Stylianos |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Information theory Artificial intelligence - Data processing Computer science Logic programming Machine learning Artificial Intelligence Data Structures and Information Theory Data Science Computer Science Logic in AI Machine Learning |
| ISBN |
9781484295052
1484295056 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Where Are We Now? A Brief History of Uncertainty -- 2. Truth, Logic and the Problem of Induction -- 3. Swans and Space Invaders -- 4. Probability: To Bayes, or not to Bayes? -- 5. What’s Maths Got to Do With It? The Power of Probability Distributions -- 6. Alternative Ideas: Fuzzy Logic and Information Theory -- 7. Statistics: the Oldest Kid on the Block -- 8. Machine Learning: Inside the Black Box -- 9. Causality: Understanding the ‘Why’ -- 10. Forecasting, and Predicting the Future: The Fox and the Trump -- 11. The Limits of Prediction (Part A): A Futile Pursuit? -- 12. The Limits of Prediction (Part B): Game Theory, Agent-based Modelling and Complexity (Actions and Reactions) -- 13. Uncertainty in Us: How the Human Mind Handles Uncertainty -- 14. Blockchain: Uncertainty in transactions -- 15. Economies of Prediction: A New Industrial Revolution -- Epilogue: The Certainty of Uncertainty. |
| Record Nr. | UNINA-9910731486703321 |
|
Kampakis Stylianos
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||