Uilepgowbooks: Maret 2012

Jumat, 23 Maret 2012

[R900.Ebook] Download PDF IELTS Band 9 Grammar Secrets - Band 9 Grammar Methods for Academic Writing Task 2, by Cambridge IELTS Consultants

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IELTS Band 9 Grammar Secrets - Band 9 Grammar Methods for Academic Writing Task 2, by Cambridge IELTS Consultants

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Are you taking the IELTS Academic exam? Do you need to improve your grammar to be sure of getting a very high score in writing (Band 7 and above)?

We can help!

This book shows you how to develop and use the most important factor of all - Academic English grammar.

We show you how to develop your grammar into more formal, precise and advanced English. We will explain how to improve your sentences, your paragraphs and your entire Task 2 essay in a way that will impress the IELTS examiners.
Above all, we give you the grammar methods to quickly change your writing from normal, day-to-day English into Band 9 Academic English.

Packed with examples, models and guidelines to follow, these methods have been used with great success by our students for IELTS and University preparation. Start getting the results you need - and learn our Band 9 grammar secrets.

ABOUT THE AUTHORS: Cambridge IELTS Consultants are a team of IELTS trainers and past examiners based in Cambridge, United Kingdom. They have many years experience of preparing students for IELTS at University level, assessing the speaking tests and developing course books to guide candidates through the Cambridge IELTS process. They really are the experts!

Sales Rank: #247783 in eBooks
Published on: 2014-11-30
Released on: 2014-11-30
Format: Kindle eBook

Most helpful customer reviews

0 of 0 people found the following review helpful.
Ielts grammar secrets
By Luis Felipe Dantas
Well structured and detailed content. Provides clear explanation on each type of possible essay, including suggested wording. Finallym it also presents a brief explanation regarding what NOT to use for the writing test.

0 of 0 people found the following review helpful.
Useful tips
By Marta
Good compact content
Like clear structure and step by step guidance
Summary table / easer to learn would be useful

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Five Stars
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Sabtu, 10 Maret 2012

[A124.Ebook] Ebook Free Principles of Meat Science

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Published on: 1705
Binding: Paperback

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Selasa, 06 Maret 2012

[E414.Ebook] Download Ebook Data Science in Higher Education: A Step-by-Step Introduction to Machine Learning for Institutional Researchers, by Jesse Lawson

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Be the Change your Institution Needs

What are leaders in research saying about Data Science in Higher Education?

"Where has this book been all these years? This is THE starting point for researchers looking for a leg up in today's college environment. Two parts discussion, one part methodology, and one part witty humor. I love it!"

"Buy this book for your analysts. They and your college will thank you."

"This is the only book on data science specific for higher education research that covers both theory and practice. I'm not a programmer at all, and I found this book very enjoyable. You wont regret it -- I know I don't!"

"When our department was tasked with coming up with a predictive 'machine-learning' model, we hired Jesse to help us. His charisma and knowledge are unmatched, and this book only helps to breathe fresh life into issues in research today that are all too often swept under the rug."

Discover the tools to take your institution to the next level!

Data Science in higher education is the process of turning raw institutional data into actionable intelligence. With this introduction to foundational topics in machine learning and predictive analytics, ambitious leaders in research can develop and employ sophisticated predictive models to better inform their institution's decision-making process.

You don't need an advanced degree in math or statistics to do data science. With the open-source statistical programming language R, you'll learn how to tackle real-life institutional data challenges (with actual institutional data!) by going step-by-step through different case studies.

Topics include:

Simple, Multiple, & Logistic Regression Techniques, and Naive Bayes Classifiers
Best Practices for Data Scientists in Higher Education
Narrative-style stories, gotchas, and insights from actual data science jobs at colleges and universities

"Forget the textbooks. This is a book on data science written for institutional researchers *by* an institutional researcher. You need this book." ------------------------------------------

Data Science is the art of carefully picking through that pile of book pages and putting together a complete book. It's the art of developing a narrative for your data, so that all the raw information that your institution warehouses and reports in bar charts and histograms is replaced with actionable intelligence.

Here's what we know:

Data science can and should be an integral part of college and university operations.
Institutional effectiveness should be working side-by-side with faculty and educators to collect, clean, and mine through data of current and past students' behaviors in order to better empower counseling and advisement services (whether virtual or otherwise).
Data itself should be considered an asset to an institution, and the data mining process a necessary function of institutional operations.

So how do we do it?

It starts with a solid perspective and great research tools. With Data Science in Higher Education you'll learn about and solve real-world institutional problems with open-source tools and machine learning research techniques. Using R, you'll tackle case studies from real colleges and develop predictive analytical solutions to problems that colleges and universities face to this day.

Sales Rank: #752908 in Books
Published on: 2015-09-06
Original language: English
Number of items: 1
Dimensions: 9.00" h x .51" w x 6.00" l, .68 pounds
Binding: Paperback
226 pages

About the Author
Jesse Lawson designs, develops, and deploys information systems for higher education. He has worked as a full-stack developer, a statistics consultant, a data science engineer, and an intelligence analyst. Learn more at his website, lawsonry.com.

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0 of 1 people found the following review helpful.
Ahead of its time
By AERON ZENTNER
This text brings about a new viewpoint and strategic efforts to utilize data to drive effective decision making.

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