The Ai revolution in medicine, Lee, Peter Goldberg, Carey Kohane, Isaac
Автор: Howey Kevin Название: Python Machine Learning ISBN: 1914015231 ISBN-13(EAN): 9781914015236 Издательство: Неизвестно Рейтинг: Цена: 2755.00 р. Наличие на складе: Нет в наличии.
Описание:
The world of technology is growing all the time.
It seems like a new technology is coming out all of the time, and it seems like it is outpacing what most traditional coding languages are able to do.
While there is a lot that you are able to with traditional forms of coding, it isn't able to meet all of your needs. What if we were able to make a program that was able to learn on its own? What if we could put in a bit of information, and the program were able to do what it needed to, and take control. This is where the beauty of machine learning is going to come into play
This guidebook is going to take some time to look at machine learning, and how you are able to work with the Python language in order to make it work and to help you create some of the best programs out there
Imagine all that you can do when you bring in machine learning and can create programs and more that can think for and learn on their own
Some of the topics that we are going to explore with Python machine learning inside this guidebook include:
The different types of machine learning that you are able to work with.
The difference between machine learning and deep learning.
How to set up and use the Scikit-learn library from Python.
How to set up and use the TensorFlow library.
The K-Nearest Neighbors and the K-Means clustering algorithms.
How to use support vector machines with machine learning.
Working with neural networks and recurrent neural networks.
How decisions trees can help you make smarter decisions, and turning these decision trees into random forests.
Working with linear classifiers when you are in machine learning.
...and much, much more
There are so many things that we are able to work with when it comes to machine learning, and the field is going to grow in leap and bounds through the years.
If you are ready to learn more about machine learning and how to implement some of the algorithms with the help of Python, make sure to check out this guidebook to get started.
Scroll Up and Click the Buy Now Button
Автор: Shaban-Nejad Arash, Michalowski Martin Название: Precision Health and Medicine: A Digital Revolution in Healthcare ISBN: 3030244113 ISBN-13(EAN): 9783030244118 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention.- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring.- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry.- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.
Описание: As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices.
Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments.
Автор: J. Hwang, D. Pyo , Y. Yoon Название: Tech Trends of the 4th Industrial Revolution ISBN: 1683926889 ISBN-13(EAN): 9781683926887 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bridges the gap between the 4th industry-related technology boom and the general public`s perception of it. The book introduces the applications of related major technologies, such as the Internet of Things, blockchain, artificial intelligence, cloud computing, and big data, considered essential for the development of contemporary business models.
Описание: This book takes a forward-looking approach by bringing in research and contributions that facilitate in mapping the impact of AI and big data on businesses, the nature of work along with providing practical solutions for preparing the work, workplace, and the workforce of the future. Organizations globally have been experiencing immense transformation due to the reinvention and redefining of the business models due to the dynamic nature of the business environment. Looking at an organizational context, undeniably, the definition of ‘work’ and ‘organizations’ is genuinely changing. Artificial intelligence, big data, automation, and robotics are a few of those keywords that are seemingly entering the workplace and reshaping the way work is being done. Moreover, the transition that is being addressed herein not only focuses upon aspects that are operative within an organization like the organizational culture, team building, networking, recruitments, and so on but also aims to address the external aspects like supply chain management, value chain analysis, investment management, etc. Broadly, every single step that is now taken is intensely experiencing this impact upon its functioning. This book serves as a guide not just to the academia but also to the industry to adopt suitable strategies that offer insights into global best practices as well as the innovations in the domain.
How businesses can put artificial intelligence to work now: a guide to available technologies, the tasks they can do, and practical AI business strategy,
In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence--also known as cognitive technologies--in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient.
Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise.
Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI.
Автор: Howey Kevin Название: Python Machine Learning ISBN: 1914015770 ISBN-13(EAN): 9781914015779 Издательство: Неизвестно Рейтинг: Цена: 4134.00 р. Наличие на складе: Нет в наличии.
Описание:
The world of technology is growing all the time.
It seems like a new technology is coming out all of the time, and it seems like it is outpacing what most traditional coding languages are able to do.
While there is a lot that you are able to with traditional forms of coding, it isn't able to meet all of your needs. What if we were able to make a program that was able to learn on its own? What if we could put in a bit of information, and the program were able to do what it needed to, and take control. This is where the beauty of machine learning is going to come into play
This guidebook is going to take some time to look at machine learning, and how you are able to work with the Python language in order to make it work and to help you create some of the best programs out there
Imagine all that you can do when you bring in machine learning and can create programs and more that can think for and learn on their own
Some of the topics that we are going to explore with Python machine learning inside this guidebook include:
The different types of machine learning that you are able to work with.
The difference between machine learning and deep learning.
How to set up and use the Scikit-learn library from Python.
How to set up and use the TensorFlow library.
The K-Nearest Neighbors and the K-Means clustering algorithms.
How to use support vector machines with machine learning.
Working with neural networks and recurrent neural networks.
How decisions trees can help you make smarter decisions, and turning these decision trees into random forests.
Working with linear classifiers when you are in machine learning.
...and much, much more
There are so many things that we are able to work with when it comes to machine learning, and the field is going to grow in leap and bounds through the years.
If you are ready to learn more about machine learning and how to implement some of the algorithms with the help of Python, make sure to check out this guidebook to get started.
We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clich s and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.
What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?
What are the industry trends that align with this transformation? Is it the explosion of digital touchpoints in retail, the reduced risk taking by investment banks, or the ascent of passive funds in asset management?
How do we develop concrete use cases from idea generation to production? How do we engineer systems to make accurate predictions, offer recommendations to clients, or analyse unstructured news data?
How do we build a successful data-driven organisation? What are the key pitfalls to avoid? Is it about culture, data governance, or management vision?
What are the risks specific to developing AI technologies? Can we humans understand and explain what the machines produce for us? Can we trust their predictions or actions?
What is the role of alternative data in all this? How can we put it to use for augmented insight?
What are the problems that AI is well equipped to solve? Is it all about neural networks and deep learning, as we regularly hear in the popular press? How do we understand human language, a task so important to the financial analyst?
The book is packed with concrete examples from the various disciplines of finance. Interested readers will also develop a deep understanding of AI algorithms - presented in plain English - and learn how to solve the most challenging problems. But first and foremost, it is a practical book that equips finance executives with everything they need to understand this transformation and to become agents of change themselves.
Автор: Tempest, Dr Michelle Название: Big brain revolution ISBN: 1528985427 ISBN-13(EAN): 9781528985420 Издательство: Неизвестно Рейтинг: Цена: 3442.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Is Artificial Intelligence (AI) changing the world? Is AI updating the human brain? Can AI help to solve complex problems baffling scientists and politicians? The answer is yes. This book offers unique insights into the consequences of mixing psychology with technology. It takes you on a journey of discovery, stripping AI and the human brain back to basics. It's not academic, keeps knowledge simple and questions if humans can be manipulated by machines. Big data is already monitoring human movements. So imagine future powers of information gathering on an even bigger scale - including brain waves, emotions and inner thoughts. AI could personalise messages back to the brain and update love, desires and our destiny.Now is the time to be curious and to question. We must not hesitate. History will not forgive us. This is our common purpose. Our mission is to bequeath ethical AI advancements to the next generation. Humility tells us how working together is the secret sauce to guide AI to help mankind. It must help untangle collective problems such as climate change - bigger than the individual. This book is for everyone. So read it, pass it on and discuss how AI is impacting your brain and our futures.
Описание: This book provides a comprehensive review of industry 4.0 and its applications, discussing the history of industry evaluation, including industry 1.0, 2.0, 3.0 and 4.0, and the future structure of industry evaluation.
Автор: Richard G. Delisle Название: Charles Darwin`s Incomplete Revolution ISBN: 3030172023 ISBN-13(EAN): 9783030172022 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a thorough reanalysis of Charles Darwin's Origin of Species, which for many people represents the work that alone gave rise to evolutionism. Of course, scholars today know better than that. Yet, few resist the temptation of turning to the Origin in order to support it or reject it in light of their own work. Apparently, Darwin fills the mythical role of a founding figure that must either be invoked or repudiated. The book is an invitation to move beyond what is currently expected of Darwin's magnum opus. Once the rhetorical varnish of Darwin's discourses is removed, one discovers a work of remarkably indecisive conclusions. The book comprises two main theses:(1) The Origin of Species never remotely achieved the theoretical unity to which it is often credited. Rather, Darwin was overwhelmed by a host of phenomena that could not fit into his narrow conceptual framework.(2) In the Origin of Species, Darwin failed at completing the full conversion to evolutionism. Carrying many ill-designed intellectual tools of the 17th and 18th centuries, Darwin merely promoted a special brand of evolutionism, one that prevented him from taking the decisive steps toward an open and modern evolutionism.It makes an interesting read for biologists, historians and philosophers alike.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
