By Paul N. Edwards
The technological know-how in the back of worldwide warming, and its heritage: how scientists realized to appreciate the ambience, to degree it, to track its earlier, and to version its destiny.
By ESRI Press
By J. Michael Spector, Celestia Ohrazda, Andrew Van Schaack, David A. Wiley
M. David Merrill has been lively within the box of educational know-how for nearly forty years. His contributions diversity from simple tutorial ideas and tutorial layout concept to improvement and implementation of studying environments. strategies in tutorial expertise is a set of unique essays written via best students and practitioners who've labored with and been encouraged by means of Professor Merrill. The chapters during this publication symbolize a sampling of key techniques within the tutorial expertise box and contain wisdom of the way humans research, how humans remedy difficulties, how designers conceptualize studying areas, how lecturers enforce studying actions, and the way evaluators investigate outcomes.This quantity is split into 5 easy components of analysis in tutorial expertise, mirroring the varied contributions of Dr. Merrill's work:*four chapters on studying items and the proposal of reusable components;*three chapters that debate primary features of studying and the layout of instruction;*three chapters that handle thoughts within the sector of overview, review, and version validation;*three chapters that main issue theories of studying and guideline; and*three chapters on tutorial layout practice.The publication concludes with a bankruptcy outlining Dr. Merrill's responses to demanding situations, reviews, and questions about the way forward for the field--ranging from the inspiration of preliminary passions in regards to educational expertise to connections among concept and perform to questions of conscience--from knowledgeable panel made from a number of the members to the book.As Dave Merrill's paintings will stay required examining for college kids of tutorial expertise, concepts in educational know-how is a ebook that might entice scholars, researchers, and practitioners within the box.
By Josef Finsel
Feeling reluctant? The instruction manual for Reluctant Database directors provides you with an exceptional seize of what you have to to layout, construct, safe, and hold a database. writer Josef Finsel writes from an realizing perspective; he additionally crossed over from programming to database management. in addition, database management veteran Francis Stanisci reviews during the publication, sharing perception from his personal years of experience.
By Noel Jerke
Building Database pushed Flash Applications demonstrates how the services of Flash programming should be mixed with net back-end databases at once, with no an intermediate layer of programming. thoughts for using Flash presentation features with the facility of back-end databases are coated in step by step aspect. suggestions and whole out-of-the-box options which are able to be applied instantly are presented.
- Provides entire program recommendations, out-of-the-box, which are prepared to be used by means of the reader
- Examples on a number of expertise systems, together with ASP, ASP .NET, SQL Server, and entry
By Toby J. Teorey, Sam S. Lightstone, Tom Nadeau, H.V. Jagadish
Database structures and database layout expertise have passed through major evolution lately. The relational information version and relational database platforms dominate company functions; in flip, they're prolonged via different applied sciences like facts warehousing, OLAP, and information mining. How do you version and layout your database program in attention of latest know-how or new company needs?
In the broadly revised fourth variation, you will get transparent causes, plenty of magnificent examples and an illustrative case, and the fairly useful recommendation you've come to count number on--with layout ideas which are appropriate to any SQL-based process. yet you are going to additionally get lots that will help you develop from a brand new database clothier to an skilled dressmaker constructing industrial-sized systems.
+ an in depth examine the Unified Modeling Language (UML-2) in addition to the entity-relationship (ER) technique for info requisites specification and conceptual modeling--with examples during the booklet in either approaches!
+ the main points and examples of ways to exploit info modeling recommendations in logical database layout, and the transformation of the conceptual version to the relational version and to SQL syntax;
+ the basics of database normalization during the 5th common form;
+ functional insurance of the foremost concerns in company intelligence--data warehousing, OLAP for selection help structures, and knowledge mining;
+ examples for the way to take advantage of the most well-liked CASE instruments to deal with advanced information modeling problems.
+ workouts that attempt figuring out of all fabric, plus suggestions for lots of workouts.
By Dr. Hari M. Koduvely
Become knowledgeable in Bayesian computing device studying equipment utilizing R and follow them to unravel real-world sizeable information problems
About This Book
- Understand the rules of Bayesian Inference with much less mathematical equations
- Learn state-of-the artwork laptop studying methods
- Familiarize your self with the hot advances in Deep studying and large information frameworks with this step by step guide
Who This e-book Is For
This e-book is for statisticians, analysts, and knowledge scientists who are looking to construct a Bayes-based process with R and enforce it of their daily versions and initiatives. it truly is normally meant for info Scientists and software program Engineers who're concerned with the improvement of complex Analytics purposes. to appreciate this e-book, it'd be important when you have easy wisdom of likelihood concept and analytics and a few familiarity with the programming language R.
What you are going to Learn
- Set up the R environment
- Create a type version to foretell and discover discrete variables
- Get familiar with likelihood conception to research random events
- Build Linear Regression models
- Use Bayesian networks to deduce the chance distribution of determination variables in a problem
- Model an issue utilizing Bayesian Linear Regression technique with the R package deal BLR
- Use Bayesian Logistic Regression version to categorise numerical data
- Perform Bayesian Inference on hugely huge information units utilizing the MapReduce courses in R and Cloud computing
Bayesian Inference presents a unified framework to house all kinds of uncertainties while studying styles shape info utilizing computing device studying versions and use it for predicting destiny observations. besides the fact that, studying and imposing Bayesian types isn't really effortless for information technological know-how practitioners as a result of point of mathematical remedy concerned. additionally, employing Bayesian easy methods to real-world difficulties calls for excessive computational assets. With the hot advances in computation and a number of other open resources programs to be had in R, Bayesian modeling has turn into extra possible to take advantage of for functional purposes at the present time. for that reason, it'd be helpful for all facts scientists and engineers to appreciate Bayesian equipment and practice them of their tasks to accomplish higher results.
Learning Bayesian versions with R begins via supplying you with a finished insurance of the Bayesian computer studying types and the R applications that enforce them. It starts with an creation to the basics of likelihood concept and R programming if you are new to the topic. Then the booklet covers a few of the very important desktop studying equipment, either supervised and unsupervised studying, carried out utilizing Bayesian Inference and R.
Every bankruptcy starts with a theoretical description of the strategy defined in a very easy demeanour. Then, correct R applications are mentioned and a few illustrations utilizing info units from the UCI desktop studying repository are given. every one bankruptcy ends with a few basic routines that you can get hands-on event of the recommendations and R applications mentioned within the chapter.
The final chapters are dedicated to the most recent improvement within the box, in particular Deep studying, which makes use of a category of Neural community types which are presently on the frontier of synthetic Intelligence. The ebook concludes with the applying of Bayesian tools on sizeable info utilizing the Hadoop and Spark frameworks.
Style and approach
The publication first offers a theoretical description of the Bayesian types in basic language, by way of info of its implementation within the R package deal. every one bankruptcy has illustrations for using Bayesian version and the corresponding R package deal, utilizing facts units from the UCI desktop studying repository. every one bankruptcy additionally comprises adequate workouts so that you can get extra hands-on practice.
By H. Paul Williams
Evaluation of prior editions'Such a textual content - and this can be the one considered one of this sort i do know of - might be the root of all guideline in Mathematical Programming.' magazine of the Royal Statistical Society'An first-class advent ... for college kids of industrial management and those that are looking to see the application of operations research.' ecu magazine of Operational Research'It should be favored greatly through practitioners who have already got wisdom within the box of mathematical programming.' Mathematical Programming Society e-newsletter version construction in Mathematical Programming Fourth version H. Paul Williams school of Mathematical reviews, collage of Southampton, UKThis widely revised fourth version of this famous and masses praised e-book features a good deal of recent fabric. particularly sections and new difficulties were extra overlaying profit administration. Hydro electrical iteration, Date Envelopment (efficiency) research, Milk Distribution and assortment and Constraint Programming. The booklet discusses the final rules of version development in mathematical programming and exhibits how they are often utilized through the use of simplified yet useful difficulties from broadly varied contexts. steered formulations and ideas are given within the latter a part of the booklet including computational event to provide the reader a suppose for the computation hassle of fixing that individual form of version. aimed toward undergraduates, postgraduates, examine scholars and bosses, this e-book illustrates the scope and boundaries of mathematical programming, and exhibits the way it could be utilized to actual events. through emphasizing the significance of the construction and interpretation of versions instead of the answer approach, the writer makes an attempt to fill a spot left through the various works which pay attention to the algorithmic part of the topic.
By Eelco Plugge, David Hows, Visit Amazon's Peter Membrey Page, search results, Learn about Author Central, Peter Membrey, , Tim Hawkins
The Definitive advisor to MongoDB, moment variation, is up-to-date for the most recent model and comprises all the newest MongoDB positive factors, together with the aggregation framework brought in model 2.2 and hashed indexes in model 2.4. MongoDB is the most well-liked of the "Big info" NoSQL database applied sciences, and it is nonetheless turning out to be. David Hows from 10gen, besides skilled MongoDB authors Peter Membrey and Eelco Plugge, supply their services and adventure in instructing you every little thing you want to recognize to develop into a MongoDB pro.