Boyan angelov (20 resultados)

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Good.

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Condición: Fine.

Condición: New.

Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback. Condición: New. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value.…

Paperback. Condición: Brand New. 248 pages. 6.14x0.43x9.21 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 175 pages. 9.19x7.00x0.42 inches. In Stock.

Condición: New.

Condición: New. In English.

295 Seiten. Gr.-8°. Gut erhalten. O-Karton.

Condición: New.

Condición: New. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you ll discover new ways to accomplish data science tasks and expand your skill set.

Taschenbuch. Condición: Neu. Neuware - Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. - Learn Python and R from the perspective of your current language - Understand the strengths and weaknesses of each language - Identify use cases where one language is better suited than the other - Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows - Learn how to integrate R and Python in a single workflow - Follow a case study that demonstrates ways to use these languages together.…

Paperback. Condición: New. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value.…