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Archive for Agustus 2010

Free Download Getting things done: The ABC's of time managementBy Edwin C Bliss

Free Download Getting things done: The ABC's of time managementBy Edwin C Bliss

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Getting things done: The ABC's of time managementBy Edwin C Bliss

Getting things done: The ABC's of time managementBy Edwin C Bliss


Getting things done: The ABC's of time managementBy Edwin C Bliss


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Getting things done: The ABC's of time managementBy Edwin C Bliss

For all the people who waste time and wish they didn't. The no-nonsense guide to managing yur time at home or in the office. Learn how to cut paperwork to a minimum. Concentrate on important matters. Delegate responsibility. Schedule your day. And Other ways to improve your work-time.

  • Amazon Sales Rank: #1547104 in Books
  • Published on: 1978
  • Number of items: 1
  • Binding: Paperback
  • 196 pages

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Download Wanderlust: Journal for travel loversBy Lana Barce

Download Wanderlust: Journal for travel loversBy Lana Barce

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  • Sales Rank: #716272 in Books
  • Published on: 2015-06-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.50" h x .40" w x 5.50" l, .47 pounds
  • Binding: Diary
  • 160 pages

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Download Ebook Mastering Python for Data ScienceBy Samir Madhavan

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Mastering Python for Data ScienceBy Samir Madhavan


Mastering Python for Data ScienceBy Samir Madhavan


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Mastering Python for Data ScienceBy Samir Madhavan

Explore the world of data science through Python and learn how to make sense of data

About This Book
  • Master data science methods using Python and its libraries
  • Create data visualizations and mine for patterns
  • Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning
Who This Book Is For

If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed.

What You Will Learn
  • Manage data and perform linear algebra in Python
  • Derive inferences from the analysis by performing inferential statistics
  • Solve data science problems in Python
  • Create high-end visualizations using Python
  • Evaluate and apply the linear regression technique to estimate the relationships among variables.
  • Build recommendation engines with the various collaborative filtering algorithms
  • Apply the ensemble methods to improve your predictions
  • Work with big data technologies to handle data at scale
In Detail

Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving.

This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.

Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods.

Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics.

Style and approach

This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.

  • Sales Rank: #1031470 in Books
  • Published on: 2015-08-31
  • Released on: 2015-08-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .67" w x 7.50" l, 1.12 pounds
  • Binding: Paperback
  • 294 pages

About the Author

Samir Madhavan

Samir Madhavan has been working in the field of data science since 2010. He is an industry expert on machine learning and big data. He has also reviewed R Machine Learning Essentials by Packt Publishing. He was part of the ubiquitous Aadhar project of the Unique Identification Authority of India, which is in the process of helping every Indian get a unique number that is similar to a social security number in the United States. He was also the first employee of Flutura Decision Sciences and Analytics and is a part of the core team that has helped scale the number of employees in the company to 50. His company is now recognized as one of the most promising Internet of Things―Decision Sciences companies in the world.

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Ebook Free 1000 Nurse Practice Questions for the NCLEX Exam

Ebook Free 1000 Nurse Practice Questions for the NCLEX Exam

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1000 Nurse Practice Questions for the NCLEX Exam

1000 Nurse Practice Questions for the NCLEX Exam


1000 Nurse Practice Questions for the NCLEX Exam


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1000 Nurse Practice Questions for the NCLEX Exam

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Audible Audiobook

Listening Length: 16 hours and 54 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Aaron Reed

Audible.com Release Date: December 5, 2016

Language: English, English

ASIN: B01N2OEFYV

Amazon Best Sellers Rank:

This book was super helpful for studying for the NCLEX. I was told that we should do at least 3000 practice questions to prepare for the NCLEX and this set of 1000 was great for reaching my goal. There were a few typos and some answers were questionable but I think that overall the book was helpful. The questions hit all of the main topics found on the NCLEX. The book contains NCLEX-style questions that will get you thinking about how to answer correctly. I felt that some of these questions were very similar to the ones I encountered on the actual NCLEX. I would recommend this book to help study for the NCLEX.

The best way to study for the NCLEX is to read questions with rationale. I encouraged my students to follow this study plan. The author does an excellent job of incorporating a variety of topics with spot on rationale. If you want to be successful then get this material. Remember, you can graduate nursing school, but if you don't pass the certifying exam then you can't call yourself RN.

Very good questions and the format of rationales right after the questions is an excellent way to study. I would have given it 5 stars but there were so many typographical errors that I only gave it 4. It was really worth the money and passed boards after studying with this and the Sunders Comprehensive Review book together.

This book is great. I actually have the audio version of it as well and it's nice to listen to when I'm cleaning or driving. It has perfect explanations of things and has been very useful for me in studying for exams.

Never received

The items really test the students skills

This is one of the best apps that helped me pass the NCLEX after seventeen years and five failed attempts. Passed last Monday!! This is Kaplan's book helped me pass.

great for review

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Free PDF Research Methods for ScienceBy Michael P. Marder

Free PDF Research Methods for ScienceBy Michael P. Marder

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Research Methods for ScienceBy Michael P. Marder

A unique introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for students in science and mathematics. The textbook gives an overview of the main methods used in scientific research, including hypothesis testing, the measurement of functional relationships, and observational research. It descibes important features of experimental design, such as the control of errors, instrument calibration, data analysis, laboratory safety, and the treatment of human subjects. Important concepts in statistics are discussed, focusing on standard error, the meaning of p values, and use of elementary statistical tests. The textbook introduces some of the main ideas in mathematical modeling, including order-of-magnitude analysis, function fitting, Fourier transforms, recursion relations, and difference approximations to differential equations. It also provides guidelines on accessing scientific literature, and preparing scientific papers and presentations.

  • Sales Rank: #69492 in Books
  • Published on: 2011-03-07
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.72" h x .39" w x 6.85" l, 1.05 pounds
  • Binding: Paperback
  • 234 pages

Review
"The book is highly readable and well organized. This book should be of interest to any student who is considering a scientific field of study, in that it will provide both information on how to carry out and present various types of research, as well as knowledge of what science professionals must do to be successful in their work."
G.R. Mayforth, Computing Reviews

"Students would learn or reference many points of presentation or data handling if this book were on a shelf in the laboratory."
Wooil M. Moon, The Leading Edge

About the Author
Michael Marder is Professor of Physics at the University of Texas, Austin. He is co-director and founder of UTeach, a program to prepare secondary teachers of science and mathematics. He has been teaching a course on how to do scientific research which led to the writing of this textbook. He is author of the graduate text Condensed Matter Physics.

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