Share

Knowledge Engineering And Management (mit Press)

2001
Download Knowledge Engineering And Management (mit Press) PDF Online Free

Author :
Release : 2001
Genre :
Kind : eBook
Book Rating : 927/5 ( reviews)

GET EBOOK


Book Synopsis Knowledge Engineering And Management (mit Press) by : Guus Schreiber

Download or read book Knowledge Engineering And Management (mit Press) written by Guus Schreiber. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. A newly-developed field at the intersection of computer science and management, it deals with knowledge as a key resource in modern organizations.

Knowledge Engineering and Management

2000 Business & Economics
Download Knowledge Engineering and Management PDF Online Free

Author :
Release : 2000
Genre : Business & Economics
Kind : eBook
Book Rating : 009/5 ( reviews)

GET EBOOK


Book Synopsis Knowledge Engineering and Management by : Guus Schreiber

Download or read book Knowledge Engineering and Management written by Guus Schreiber. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.

Introduction to Machine Learning

2014-08-22 Computers
Download Introduction to Machine Learning PDF Online Free

Author :
Release : 2014-08-22
Genre : Computers
Kind : eBook
Book Rating : 182/5 ( reviews)

GET EBOOK


Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin. This book was released on 2014-08-22. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Biofabrication

2021-09-14 Technology & Engineering
Download Biofabrication PDF Online Free

Author :
Release : 2021-09-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 754/5 ( reviews)

GET EBOOK


Book Synopsis Biofabrication by : Ritu Raman

Download or read book Biofabrication written by Ritu Raman. This book was released on 2021-09-14. Available in PDF, EPUB and Kindle. Book excerpt: How engineered materials and machines powered by living biological cells can tackle technological challenges in medicine, agriculture, and global security. You are a biological machine whose movement is powered by skeletal muscle, just as a car is a machine whose movement is powered by an engine. If you can be built from the bottom up with biological materials, other machines can be as well. This is the conceptual starting point for biofabrication, the act of building with living cells--building with biology in the same way we build with synthetic materials. In this volume in the MIT Press Essential Knowledge series, Ritu Raman offers an accessible introduction to biofabrication, arguing that it can address some of our greatest technological challenges. After presenting the background information needed to understand the emergence and evolution of biofabrication and describing the fundamental technology that enables building with biology, Raman takes deep dives into four biofabrication applications that have the potential to affect our daily lives: tissue engineering, organs-on-a-chip, lab-grown meat and leather, and biohybrid machines. Organs-on-a-chip (devices composed of miniature model tissues), for example, could be used to test new medicine and therapies, and lab-grown meat could alleviate environmental damage done by animal farming. She shows that biological materials have abilities synthetic materials do not, including the ability to adapt dynamically to their environments. Exploring the principles of biofabrication, Raman tells us, should help us appreciate the beauty, adaptiveness, and persistence of the biological machinery that drives our bodies and our world.

Data Science

2018-04-13 Computers
Download Data Science PDF Online Free

Author :
Release : 2018-04-13
Genre : Computers
Kind : eBook
Book Rating : 432/5 ( reviews)

GET EBOOK


Book Synopsis Data Science by : John D. Kelleher

Download or read book Data Science written by John D. Kelleher. This book was released on 2018-04-13. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

You may also like...