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Krups XN903140 Nespresso Vertuo Plus Coffee Machine-White

Krups XN903140 Nespresso Vertuo Plus Coffee Machine-White

<p>VERTUO PLUS XN903</p> <p>Nespresso Vertuo Plus, it's modernity, to any extremity...  </p> <p>Take it to the max with the Vertuo Plus machine. It encompasses the complete Nespresso coffee experience, in even larger cups and with the design to go with it. With five sizes, from Espresso to Alto.</p> <p>The Vertuo Plus machine is able to read each capsule individually to offer you its hidden treasures. The aromas, the flavours and, most importantly, the crema. All this just two touches away. One to open the automatic head. And another to start brewing. Even the design is "Plus". With its chrome accents and movable water tank, it'll take to the shape and the style of your kitchen.</p> <p>It's modernity, to any extremity...</p> <p>Versatile cup sizes-Multiple cup sizes from Alto (414 ml), Coffee (230ml), Gran Lungo (150ml), Double Espresso (80 ml) and Espresso ( 40 ml)</p> <p>Versatile cup sizes-3 different capsule sizes</p> <p>Perfect in cup result every time-New CENTRIFUSION™ technology to gently and fully brew Alto, Coffee, Gran Lungo and Espresso</p> <p>For the lifestyles asking for quality whatever the quantity, you'll always have the Vertuo Plus machine. It allows you to explore the full range of Nespresso coffee styles. And by full, we mean that you can now have it even in larger cups, with five sizes from exciting Espressos to Alto adventures. It offers the authentic Nespresso coffee experience you'd expect, but with a new brewing system: the Centrifusion technology. <br /> <br /> Developed by Nespresso, it allows the machine to read the barcode on each capsule. It then spins up, adjusting even the slightest settings, to extract the hidden treasures of each capsule. To give each blends its own coffee. Of course, it produces our

GBP 134.83
1

L'Or Forza 40 Pack (Nespresso Compatible Pods) - Pack (5)

Delonghi EN510.B Nespresso Lattissima One Nespresso Coffee Machine Black

Delonghi EN510.W Lattissima One Nespresso coffee machine White

Machine Learning Concepts Techniques and Applications

Machine Learning Concepts Techniques and Applications

Machine Learning: Concepts Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases self-assessments exercises activities numerical problems and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms – When to use them & Why – for Application developers and Researchers Machine Learning from an Application Perspective – General & Machine learning for Healthcare Education Business Engineering Applications Ethics of machine learning including Bias Fairness Trust Responsibility Basics of Deep learning important deep learning models and applications Plenty of objective questions Use Cases Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students researchers and professionals so that they can formulate the problems prepare data decide features select appropriate machine learning algorithms and do appropriate performance evaluation. | Machine Learning Concepts Techniques and Applications

GBP 140.00
1

Machine Learning Theory and Practice

Machine Learning Theory and Practice

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization tree-based methods including Random Forests and Boosted Trees Artificial Neural Networks including Convolutional Neural Networks (CNNs) reinforcement learning and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid illustrated with figures and examples. For each machine learning method discussed the book presents appropriate libraries in the R programming language along with programming examples. Features: Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students and mathematically and/or programming-oriented individuals who want to learn machine learning on their own. Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding enabling further exploration Presents worked out suitable programming examples thus ensuring conceptual theoretical and practical understanding of the machine learning methods. This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth within limits of what can be taught in a short period of time. Thus the book can provide foundations that will empower a student to read advanced books and research papers. | Machine Learning Theory and Practice

GBP 110.00
1

Applied Machine Learning for Smart Data Analysis

Dualit Espresso Coffee Machine

Machine Washable Bed Cot Bumpers

Stochastic Optimization for Large-scale Machine Learning

Machine Learning for Healthcare Handling and Managing Data

Machine Learning for Healthcare Handling and Managing Data

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy suitability and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms architecture design and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model performance evaluation and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning along with recent research developments in healthcare sectors. | Machine Learning for Healthcare Handling and Managing Data

GBP 115.00
1