ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.
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With You Every Step of the Way
The Tobey/Slater/Blair/Crawford series retains the hallmark characteristics that have always made the text so easy to learn and teach from, including a "building block" organization. Each program builds essential skills and conceptual understanding by breaking the mathematics down into manageable pieces.
The new editions address the latest trends and dynamics related to developmental mathematics course structures, including helping students gain a stronger conceptual understanding, while contextualizing the math. Instructors will find the inclusion of new conceptually oriented Guided Learning Videos with the accompanying Video Workbook with the Math Coach (in MyMathLab), plus a new emphasis on Career Explorations throughout the text and MyMathLab course to help students explore potential career paths. The Tobey series is flexible, and well-suited for a variety of classroom formats, including lecture-based, computer-lab based (modular and/or self-paced), hybrid, and online.
MyMathLab¬ģ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, the MyMathLab course includes new Guided Learning Videos and an updated and expanded Video Workbook with the Math Coach.
Note: This is a loose leaf edition.
0134582101 / 9780134582108 Beginning Algebra, Books a la Carte Edition PLUS MyMathLab 9/e
Package consists of:¬†¬†¬†
0134188950 / 9780134188959 Beginning Algebra, Books a la Carte Edition 9/e
0321262522 / 9780321262523 MyMathLab -- Valuepack Access Card
Written by a team of leading trainers, practitioners and supervisors, this bestselling classic is the trainee therapist's best friend. It identifies and guides trainees through the practical skills and knowledge they'll need to make a success of their training - from writing essays, through case formulation, and on to preparing for their first meeting with a client. Along the way, it addresses and allays the concerns which are common to all students.
Now in its fourth edition, the book has been fully updated to take account of the significant changes in the therapy professions in recent years. It now includes new and important chapters on:
¬∑¬†¬†¬†¬†¬†¬†¬†¬† Evidence-based practice
¬∑¬†¬†¬†¬†¬†¬†¬†¬† Working with diversity
¬∑¬†¬†¬†¬†¬†¬†¬†¬† Reflective practice
¬∑¬†¬†¬†¬†¬†¬†¬†¬† Using social media, technology and online therapy
The book is my lecture presented to writers at Nassau Community College on Long Island.For the last five years I have helped independent writers complete, format and publish their books on Amazon and other online sites. There are reoccurring issues with many of my writers who have labored to complete their first book. Because of their lack of experience in writing and publishing, they make rookie mistakes that require hours of editing and reformatting to correct, all which were avoidable if they had only known. This book, a synopsis of my all-day lecture on self-publishing, helps new writers avoid the many pitfalls they encounter.
Rule-basedevolutionaryonlinelearningsystems, oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces, andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis, understanding, anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland s originally envisioned cognitive systems. Martin V
On this here ship, we follow the pirate's code: No frolikin' in the bilges, no songs about scurvy, and most important, each buccaneer must keep his pistol ready for action at all times. Break the code, me bucko, and you'll be forced to walk the plank.
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