Jagare (37 Ergebnisse)

Zustand: Very Good. : Descubre cómo construir una capacidad de ciencia de datos desde cero con 'Data Science Strategy For Dummies'. Este libro responde a todas tus preguntas sobre el 'qué' y el 'por qué' de la ciencia de datos, cubriendo lo que se necesita para liderar y nutrir un equipo de científicos de datos de primer nivel. Aprenderás a incorporar la ciencia de datos como una función estratégica en cualquier negocio, grande o pequeño, y a encontrar soluciones a tus desafíos de la vida real a medida que descubres las historias y el valor oculto dentro de los datos. Con un lenguaje no técnico, este libro te ofrece nuevas perspectivas y estrategias para liderar eficazmente las funciones de análisis y ciencia de datos para crear valor real. EAN: 9781119566250 Tipo: Libros Categoría: Tecnología|Ciencias Título: Data Science Strategy For Dummies Autor: Ulrika Jägare Editorial: For Dummies Idioma: en Páginas: 352 Formato: tapa blanda.…

Paperback. Zustand: New. All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the "what" and the "why" of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you'll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it's importantAdopt a data-driven mindset as the foundation to successUnderstand the processes and common roadblocks behind data scienceKeep your data science program focused on generating business valueNurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.…

Zustand: New. pp. 364.

Zustand: New.

Paperback. Zustand: New. A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)The importance of efficient and reproduceable data pipelines, including how to manage your company's dataAn operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real worldKey competences and toolsets in AI development, deployment and operationsWhat to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world-and not just the lab-Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.…

Paperback. Zustand: New. All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the "what" and the "why" of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you'll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it's importantAdopt a data-driven mindset as the foundation to successUnderstand the processes and common roadblocks behind data scienceKeep your data science program focused on generating business valueNurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.…

Paperback. Zustand: New. A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)The importance of efficient and reproduceable data pipelines, including how to manage your company's dataAn operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real worldKey competences and toolsets in AI development, deployment and operationsWhat to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world-and not just the lab-Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.…

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: new.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. 2022. 1st Edition. Paperback. . . . . .

Zustand: New.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Paperback. Zustand: Brand New. 252 pages. 9.00x6.00x0.75 inches. In Stock.

Zustand: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: New. All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the "what" and the "why" of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you'll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it's importantAdopt a data-driven mindset as the foundation to successUnderstand the processes and common roadblocks behind data scienceKeep your data science program focused on generating business valueNurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.…

Taschenbuch. Zustand: Neu. Neuware - All the answers to your data science questionsOver half of all businesses are using data science to generate insights and value from big data. How are they doing it Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the 'what' and the 'why' of data science and covering what it takes to lead and nurture a top-notch team of data scientists.With this book, you'll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data.\* Learn exactly what data science is and why it's important\* Adopt a data-driven mindset as the foundation to success\* Understand the processes and common roadblocks behind data science\* Keep your data science program focused on generating business value\* Nurture a top-quality data science teamIn non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.…

Taschenbuch. Zustand: Neu. Neuware - A holistic and real-world approach to operationalizing artificial intelligence in your companyIn Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models.In the book, you'll also discover:\* How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)\* The importance of efficient and reproduceable data pipelines, including how to manage your company's data\* An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world\* Key competences and toolsets in AI development, deployment and operations\* What to consider when operating different types of AI business modelsWith a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world--and not just the lab--Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.…

Zustand: NEW.

Paperback. Zustand: New. A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)The importance of efficient and reproduceable data pipelines, including how to manage your company's dataAn operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real worldKey competences and toolsets in AI development, deployment and operationsWhat to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world-and not just the lab-Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.…

Kartoniert / Broschiert. Zustand: New. Ulrika Jaegare is an M.Sc. Director at Ericsson AB. With a decade of experience in analytics and machine intelligence and 19 years in telecommunications, she has held leadership positions in R&D and product management. Ulrika was key to the Ericsson??s Machi.

Zustand: New. ULRIKA JAeGARE is the MSc. Director of Technology and Architecture at Ericsson AB. She has over 10 years of experience in data, analytics, and machine learning/artificial intelligence and over 20 years experience in telecommunications.A practical guide .

Paperback. Zustand: new. Paperback. A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jaegare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, youll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)The importance of efficient and reproduceable data pipelines, including how to manage your company's dataAn operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real worldKey competences and toolsets in AI development, deployment and operationsWhat to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real worldand not just the labOperating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…