Doug Rose Knihy

Part I: Defining Data Science -- Chapter 1: Understanding Data Science -- Chapter 2: Covering Database Basics -- Chapter 3: Recognizing Different Data Types -- Chapter 4: Applying Statistical Analysis -- Chapter 5: Avoiding Pitfalls in Defining Data Science -- Part II: Building your Data Science Team -- Chapter 6: Rounding Out Your Talent -- Chapter 7: Forming the Team -- Chapter 8: Starting the Work -- Chapter 9: Thinking Like a Data Science Team -- Chapter 10: Avoiding Pitfalls in Building Your Data Science Team -- Part III: Delivering in Data Science Sprints -- Chapter 11: A New Way of Working -- Chapter 12: Using a Data Science Life Cycle -- Chapter 13: Working in Sprints -- Chapter 14: Avoiding Pitfalls in Delivering in Data Science Sprints -- Part IV: Asking Great Questions -- Chapter 15: Understanding Critical Thinking -- Chapter 16: Encouraging Questions -- Chapter 17: Places to Look for Questions -- Chapter 18: Avoiding Pitfalls in Asking Great Questions -- Part V: Storytelling with Data Science -- Chapter 19: Defining a Story -- Chapter 20: Understanding Story Structure -- Chapter 21: Defining Story Details -- Chapter 22: Humanizing Your Story -- Chapter 23: Using Metaphors -- Chapter 24: Avoiding Storytelling Pitfalls -- Part VI: Finishing Up -- Chapter 25: Starting an Organizational Change

Manage and improve your organization's agile transformation Adopting an enterprise agile framework is a radical organizational change, and this book will help you get there without ever breaking a sweat.

Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) -- whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either been too complicated and mathematical, or have simply avoided the big picture by focusing on the use of specific software libraries. In Artificial Intelligence for Business, Doug Rose bridges the gap, offering today's most accessible and useful introduction to AI and ML technologies -- and what they can and can't do. Rose begins by tracing AI's evolution from the early 1950s to the present, illuminating core ideas that still drive its development. Next, he explores recent innovations that have reinvigorated the field by providing the "big data" that makes machine learning so powerful - innovations such as GPS, social media and electronic transactions. Finally, he explains how today's machines learn by combining powerful processing, advanced algorithms, and artificial neural networks that mimic the human brain

Wer sein Unternehmen in Zeiten permanenten Wandels konkurrenzfähig halten will, kommt am Konzept der Agilität nicht vorbei. Was in der Softwareentwicklung und über das Projektmanagement Einzug in die Teams von Unternehmen gefunden hat, gilt inzwischen als die passende Antwort auf die Herausforderungen an das gesamte Unternehmen - schnell, innovativ und frei von festgefahrenen Strukturen auf ein verändertes Marktumfeld reagieren zu können. Doug Rose erläutert die Grundideen agiler Praktiken, erklärt Tools wie Disciplined Agile Delievery, Large Scale Scrum, Lean Product Delivery, Kanban, Scale Agile Framework und Spotify Engineering Culture und zeigt auf, für welche Art von Unternehmen und Unternehmenskultur welche Rahmenstrukturen passen - ein Start-up-Unternehmen hat nun einmal andere Voraussetzungen als eines, das sich durch starke hierarchische Strukturen definiert. Sie erfahren, wie Sie Schritt-für-Schritt agile Praktiken umsetzen und Ihr Unternehmen so fit für die kommenden Herausforderungen machen.