Andre Mansoor

Paperback (1 to 2 lbs)

California

Science

Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Introducing an innovative, systematic approach to understanding differential diagnosis, Frameworks for Internal Medicine helps students and other learners to think like clinicians and master the methodology behind diagnosing the most commonly encountered conditions in internal medicine. This highly visual resource uses a case-based, Q&A-style format to build "frameworks" that guide learners through each step in the differential diagnosis process. Quickly accessible and available online for fast review, these unique frameworks not only equip students for success during the internal medicine clerkship but also help ensure more confident differential diagnoses in clinical settings. An innovative "framework" system presents an organized, logical approach to differential diagnosis like no other resource. A straightforward, case-based, Q&A-style format guides learners through the differential diagnosis step by step, providing clinical pearls along the way. Cases in each chapter launch discussions of 50 of the most commonly encountered clinical problems in the field of internal medicine. Detailed introduction and robust appendix equip resident educators with valuable teaching assistance. Enrich Your eBook Reading Experience with Enhanced Video, Audio and Interactive Capabilities Read directly on your preferred device(s), such as computer, tablet, or smartphone Easily convert to audiobook, powering your content with natural language text-to-speech Adapt for unique reading needs, supporting learning disabilities, visual/auditory impairments, second-language or literacy challenges, and more

Frameworks for Internal Medicine

db2325eb-0644-4d08-acab-c390e92ef8e3-0

Natasa Przulj

Computer Science

An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Analyzing Network Data in Biology and Medicine

05784521-93ca-43a1-b896-a1e29c1e6407-0

Charu C. Aggarwal

Hardcover (1 to 2 lbs)

A Textbook

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.

Neural Networks and Deep Learning

beb5a199-0e72-479c-ac7c-202ad1270967-0

Matthew Ball

Light Hardcover (1 lb or less)

And How It Will Revolutionize Everything

The term "Metaverse" is suddenly everywhere, from the front pages of national newspapers and the latest fashion trends to the plans of the most powerful companies in history. It is already shaping the policy platforms of the US government, the European Union, and the Chinese Communist Party.

But what, exactly, is the Metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is a persistent and interconnected network of 3D virtual worlds that will eventually serve as the gateway to most online experiences, and also underpin much of the physical world. For decades, these ideas have been limited to science fiction and video games, but they are now poised to revolutionize every industry and function, from finance and healthcare to education, consumer products, city planning, dating, and well beyond.

Taking us on an expansive tour of the "next internet," Ball demonstrates that many proto-Metaverses are already here, such as Fortnite, Minecraft, and Roblox. Yet these offer only a glimpse of what is to come. Ball presents a comprehensive definition of the Metaverse before explaining the technologies that will power it--and the breakthroughs that will be necessary to fully realize it. He addresses the governance challenges the Metaverse entails; investigates the role of Web3, blockchains, and NFTs; and predicts Metaverse winners and losers. Most importantly, he examines many of the Metaverse's almost unlimited applications.

The internet will no longer be at arm's length; instead, it will surround us, with much of our lives, labor, and leisure taking place inside the Metaverse. Bringing clarity and authority to a frequently misunderstood concept, Ball foresees trillions of dollars in new value--and the radical reshaping of society.

The Metaverse

b81971b6-1168-497f-8ca8-53992cf2a617-1

Thomas Engel

Basic Concepts and Methods

Von den Grundlagen zu Methoden - dieses Fachbuch, übersichtlich und didaktisch klar gegliedert, ist eine maßgebliche Handreichung mit allem Wissenswerten und Erläuterungen der Tools in diesem Fachgebiet.

Chemoinformatics

1265a3ad-4bbf-4269-9649-c6da002d72ac-0

Gary Burnison

Light Paperback (1 lb or less)

Today's job seekers need to "lose the resume" in order to land the right job. In this guide, Burnison shares the new rules of engagement in which seekers must learn to tell a story about themselves that speaks to their competencies, purpose, passion, and values.

Lose the Resume, Land the Job

3a298e29-595d-4c92-be02-db34dab16e8f-1

Sormeh Mahjouri

Sormeh Mahjouri

@sormeh331317

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Andre Mansoor

Frameworks for Internal Medicine

Natasa Przulj

Analyzing Network Data in Biology and Medicine

Charu C. Aggarwal

Neural Networks and Deep Learning

Matthew Ball

The Metaverse

Thomas Engel

Chemoinformatics

Gary Burnison

Lose the Resume, Land the Job

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Andre Mansoor

Frameworks for Internal Medicine

Natasa Przulj

Analyzing Network Data in Biology and Medicine

Charu C. Aggarwal

Neural Networks and Deep Learning

Matthew Ball

The Metaverse

Thomas Engel

Chemoinformatics

Gary Burnison

Lose the Resume, Land the Job

Get The App