Haralambos Marmanis (36 results)

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condition: Very Good. 1st Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Very Good. Very Good condition. With access code! A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

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

Condition: Good. paperback 100% of proceeds go to charity! Good condition with all pages in tact. Item shows signs of use and may have cosmetic defects.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

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

Soft Cover. Condition: vg. 1st ptg. xxii + 345pp including bibliography & index; 9.25" tall. Paperback.

Condition: as new. Wie neu/Like new.

Paperback. Condition: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 7.5 X 0.5 X 9.25 inches; 240 pages.

Paperback. Condition: New. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users.   Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms.   KEY SELLING POINTS   Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic   AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology.   ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language.

Condition: Gut. 3445 S. Alle Bücher & Medienartikel von Book Broker sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Dieser Artikel weist folgende Merkmale auf: Helle/saubere Seiten in fester Bindung. Leichte Gebrauchsspuren. Sprache: Englisch Gewicht in Gramm: 648 Taschenbuch, Maße: 18.75 cm x 1.85 cm x 23.5 cm.

paperback. Condition: New.

Condition: New.

Condition: New.

Hardback. Condition: New. A growing number of senior executives are coming to realize that strategic supply management can be a significant driver of improved corporate performance and better risk management. Spend analysis is the most critical component, and the starting point, of strategic supply management and is essential to achieving world-class performance. If you can't analyze your spend data, many opportunities for improvement beyond the low hanging fruit are without doubt being missed. One of the foundation blocks for transforming an organization's practices to world-class supply management is the business process called strategic sourcing. And one of the requirements for enabling world-class strategic sourcing results is rigorous spend analysis.There is a lot of confusion on what constitutes spend analysis and what benefits can it provide. Spend analysis can help improve several areas: the identification of cost reduction opportunities, the prioritization of sourcing projects, the negotiated results, and the tracking and monitoring to ensure that negotiated results reach the bottom-line. It can also play an important role in improving compliance with Sarbanes-Oxley. However, implementations are complex and involve many departments within an organization. If the implementations are done correctly, they can yield high ROI. If not, they can consume money and deliver no returns due to lack of adoption.Spend Analysis: The Window into Strategic Sourcing is the definitive text on this important subject, written by leaders in the field. It is currently the only reference that provides in-depth guidance on what spend analysis really is, what it involves specifically and how to use it in your journey to world-class performance. It provides both an executive overview and technical details for practitioners. Readers do not need specialized knowledge in database systems, information technology or any other field to gain insights from reading this book. It is a must read for procurement, supply chain management, operations, and finance executives, and for practitioners and consultants.

Hardback. Condition: New. A growing number of senior executives are coming to realize that strategic supply management can be a significant driver of improved corporate performance and better risk management. Spend analysis is the most critical component, and the starting point, of strategic supply management and is essential to achieving world-class performance. If you can't analyze your spend data, many opportunities for improvement beyond the low hanging fruit are without doubt being missed. One of the foundation blocks for transforming an organization's practices to world-class supply management is the business process called strategic sourcing. And one of the requirements for enabling world-class strategic sourcing results is rigorous spend analysis.There is a lot of confusion on what constitutes spend analysis and what benefits can it provide. Spend analysis can help improve several areas: the identification of cost reduction opportunities, the prioritization of sourcing projects, the negotiated results, and the tracking and monitoring to ensure that negotiated results reach the bottom-line. It can also play an important role in improving compliance with Sarbanes-Oxley. However, implementations are complex and involve many departments within an organization. If the implementations are done correctly, they can yield high ROI. If not, they can consume money and deliver no returns due to lack of adoption.Spend Analysis: The Window into Strategic Sourcing is the definitive text on this important subject, written by leaders in the field. It is currently the only reference that provides in-depth guidance on what spend analysis really is, what it involves specifically and how to use it in your journey to world-class performance. It provides both an executive overview and technical details for practitioners. Readers do not need specialized knowledge in database systems, information technology or any other field to gain insights from reading this book. It is a must read for procurement, supply chain management, operations, and finance executives, and for practitioners and consultants.

paperback. Condition: New. In shrink wrap. Looks like an interesting title!

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 1st edition. 249 pages. 9.25x6.25x0.75 inches. In Stock.

Kartoniert / Broschiert. Condition: New. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users.   Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms.   KEY SELLING POINTS   Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic   AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology.   ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language.