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Mastering MATLAB covers the essential aspects of MATLAB presented in an easy- to-follow "learn while doing" tutorial format. It is appropriate for undergraduate and graduate courses in MATLAB, as a reference in courses where MATLAB is used,  or as a self-study reference.

• Sales Rank: #133309 in Books
• Published on: 2011-10-08
• Original language: English
• Number of items: 1
• Dimensions: 9.06" h x 1.89" w x 6.93" l, 2.43 pounds
• Binding: Paperback
• 864 pages

About the Author
Dr. Duane Hanselman earned his Ph.D. And MSEE from the University of Illinois. He earned his BSEE from Michigan State University. Currently an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine, Dr. Hanselman has taught a wide variety of undergraduate and graduate classes including introductory circuits, signals and linear systems, control systems, signal processing, electromagnetics, power electronics, electromechanical energy conversion, and numerical methods.

Dr. Hanselman is a leading expert in the design of brushless permanent magnet motors, i.e., brushless DC motors and PM synchronous motors. He provides consulting to a wide variety of companies and has served as an expert witness for patent infringement lawsuits and various insurance and civil suits. In addition, Dr. Hanselman has presented numerous short courses on the design of brushless permanent magnet motors.

Dr. Hanselman has published numerous books, including the Mastering MATLAB series of texts and two editions of Brushless Permanent Magnet Motor Design.

Most helpful customer reviews

97 of 100 people found the following review helpful.
Good general Matlab reference
By calvinnme
I have been using a copy of this reference since I got started with Matlab about a year and a half ago. It is very good for beginners who need to look up how to do general tasks such as write a function using variable arguments, perform plotting, or figure out how to shoe-horn a problem into Matlab that doesn't really seem to fit the Matlab paradigm of everything being a matrix. I also particularly like the chapter on using Matlab with Java. Of course, if you are a more advanced user, this book will seem too simplistic. Even now, though, it's the first book I go to when I have a question that does not involve one of the specialized Matlab toolboxes. The table of contents is not shown by Amazon, so I show it here for the purpose of completeness:
1 GETTING STARTED
Introduction; Typographical Conventions; What's New in MATLAB 7; What's in Mastering MATLAB 7

2 BASIC FEATURES
Simple Math; The MATLAB Workspace; About Variables; Comments, Punctuation, and Aborting Execution; Complex Numbers;Floating-Point Arithmetic;Mathematical Functions

3 THE MATLAB DESKTOP
MATLAB Windows; Managing the MATLAB Workspace; Memory Management; Number Display Formats; Keeping a Session Log;System Information; The MATLAB Search Path

4 SCRIPT M-FILES
Script M-file Use; Block Comments and Code Cells; Setting Execution Time; Startup and Finish

5 ARRAYS AND ARRAY OPERATIONS
Simple Arrays; Array Addressing or Indexing; Array Construction; Array Orientation; Scalar-Array Mathematics; Array-Array Mathematics; Standard Arrays; Array Manipulation; Array Sorting; Subarray Searching; Array Manipulation Functions; Array Size; Arrays and Memory Utilization

6 MULTIDIMENSIONAL ARRAYS
Array Construction; Array Mathematics and Manipulation; Array Size

7 NUMERIC DATA TYPES
Integer Data Types; Floating Point Data Types; Summary

8 CELL ARRAYS AND STRUCTURES
Cell Array Creation; Cell Array Manipulation; Retrieving Cell Array Content; Comma-Separated Lists; Cell Functions; Cell Arrays of Strings; Structure Creation; Structure Manipulation; Retrieving Structure Content; Comma-Separated Lists (Again); Structure Functions; Summary

9 CHARACTER STRINGS
String Construction; Numbers to Strings to Numbers; String Evaluation; String Functions; Cell Arrays of Strings; Searching Using Regular Expressions

10 RELATIONAL AND LOGICAL OPERATIONS
Relational Operators; Logical Operators; Operator Precedence; Relational and Logical Functions; NaNs and Empty Arrays

11 CONTROL FLOW
For Loops; While Loops; If-Else-End Constructions; Switch-Case Constructions; Try-Catch Blocks

12 FUNCTIONS
M-file Function Construction Rules; Input and Output Arguments; Function Workspaces; Functions and the MATLAB Search Path; Creating Your Own Toolbox; Command-Function Duality; Function Handles and Anonymous Functions; Nested Functions;

13 M-FILE DEBUGGING AND PROFILING
Debugging Tools; Syntax Checking and File Dependencies; Profiling M-files

14 FILE AND DIRECTORY MANAGEMENT
Native Data Files; Data Import and Export; Low-Level File I/O; Directory Management; FTP File Operations

15 SET, BIT, AND BASE FUNCTIONS
Set Functions; Bit Functions; Base Conversions

16 TIME COMPUTATIONS
Current Date and Time; Date Format Conversions; Date Functions; Timing Functions; Plot Labels

17 MATRIX ALGEBRA
Sets of Linear Equations; Matrix Functions; Special Matrices; Sparse Matrices; Sparse Matrix Functions

18 DATA ANALYSIS
Basic Statistical Analysis; Basic Data Analysis; Data Analysis and Statistical Functions

19 DATA INTERPOLATION
One-Dimensional Interpolation; Two-Dimensional Interpolation; Triangulation and Scattered Data; Summary

20 POLYNOMIALS
Roots; Multiplication; Addition; Division; Derivatives and Integrals; Evaluation; Rational Polynomials; Curve Fitting

21 CUBIC SPLINES
Basic Features; Piecewise Polynomials; Cubic Hermite Polynomials; Integration; Differentiation; Spline Interpolation on a Plane

22 FOURIER ANALYSIS
Discrete Fourier Transform; Fourier Series

23 OPTIMIZATION
Zero Finding; Minimization in One Dimension; Minimization in Higher Dimensions; Practical Issues

24 INTEGRATION AND DIFFERENTIATION
Integration; Differentiation

25 DIFFERENTIAL EQUATIONS
IVP Format; ODE Suite Solvers; Basic Use; Setting Options; BVPs, PDEs and DDEs

26 TWO-DIMENSIONAL GRAPHICS
The plot Function; Linestyles, Markers, and Colors; Plot Grids, Axes Box, and Labels; Customizing Plot Axes; Multiple Plots; Multiple Figures; Subplots Interactive Plotting Tools; Screen Updates; Specialized 2-D Plots; Easy Plotting; Text Formatting; Summary

27 THREE-DIMENSIONAL GRAPHICS
Line Plots; Scalar Functions of Two Variables; Mesh Plots; Surface Plots; Mesh and Surface Plots of Irregular Data; Changing Viewpoints; Camera Control; Contour Plots; Specialized 3-D Plots; Volume Visualization; Easy Plotting; Summary

28 USING COLOR AND LIGHT
Understanding Colormaps; Using Colormaps; Displaying Colormaps; Creating and Altering Colormaps; Using Color to Describe a Fourth Dimension; Lighting Models; Summary

29 IMAGES, MOVIES, AND SOUND
Images; Image Formats; Image Files; Movies; Image Utilities; Sound; Summary

30 PRINTING AND EXPORTING GRAPHICS
Printing and Exporting Using Menus; Command Line Printing and Exporting; Printers and Export File Formats; PostScript Support; Choosing a Renderer; Handle Graphics Properties; Setting Defaults; Summary

31 HANDLE GRAPHICS
Objects; Object Handles;Object Properties; get and set; Finding Objects; Selecting Objects with the Mouse; Position and Units; Default Properties; Common Properties Plot Objects Group Objects; Annotation Axes; Linking Objects; New Plots; Rendering Speed; Callbacks; M-file Examples; Summary

32 GRAPHICAL USER INTERFACES
What's a GUI?; Predefined Dialog Boxes; M-file Dialog Boxes; Dialog Box Summary; GUI Object Hierarchy; GUI Creation Fundamentals; GUI Object Size and Position; Capturing Mouse Actions; The Event Queue; Callback Programming M-file Examples; GUIDE; Summary

33 MATLAB CLASSES AND OBJECT-ORIENTED PROGRAMMING
Overloading; Class Creation; Subscripts; Converter Functions; Precedence, Inheritance, and Aggregation

34 MATLAB PROGRAMMING INTERFACES
Accessing MATLAB Arrays; Calling C or FORTRAN from MATLAB; Calling MATLAB from C or FORTRAN; Exchanging Data with MAT-files; Shared Libraries; Serial Communications; Source Code Control Systems; Summary

35 EXTENDING MATLAB WITH JAVA
Java Overview; Java Classes; Java Objects; Java Methods; Object Properties; Data Exchange; Java Arrays; Java Functions; Examples; Summary

36 WINDOWS APPLICATION INTEGRATION
COM Objects: Client/Server Communication; Dynamic Data Exchange; MATLAB Notebook; MATLAB COM-related Toolboxes; Summary

37 GETTING HELP
Command Window Help; The Help Browser; Internet Resources; Mastering MATLAB 7 Help; Summary

38 EXAMPLES, EXAMPLES, EXAMPLES
Vectorization; JIT-Acceleration; Up-Down Sequence; Vandermonde Matrix; Repeated Value Creation and Counting; Differential Sums; Structure Manipulation; Inverse Interpolation; Polynomial Fitting; Nonlinear Curve Fitting; Picture-in-a-Picture Zoom

52 of 61 people found the following review helpful.
Materful Book
By Steven Marks
I am going to also write a review on "Matlab Guide", I will be also comparing the two books in the reviews.
If you are considering Matlab as a scientific computing language - look no more. It has licensened the "Maple Kernal" as part of its "Math Symbolic ToolBox", it uses LAPAK from FORTRAN for the algorithms for Matrix operations; it uses a high level language (very C++ like) and its own consise syntax for matrix manipulations as well as "Handle Graphics" to produce impressive looking plots and reports. In otherwords, it combines the best of various approaches. If you do not know C++, I advise that learn that first before attempting to learn Matlab.
Comparing "Mastering Matlab 6" (MM6) to "Matlab Guide" (MG):
*Both books are NOT for absolute Beginners, I think the assumption is that you will first study the book that comes with Matlab and the supurb "Help" Documentation that comes with the program. There are also good starting out tutorials on the net - search: "Matlab; Tutorial". The US Navy has a consise tutorial to get you started.
*MM6 does a better job on teaching to the next level beyond the Mathworks supplied documentation and beggining Tutorials.
*MM6 WINS HANDSDOWN ON TEACHING version new to 6.0 specific features. You are short changing yourself by going for a 5.0 text.
*MM6 is geared more towards a programmer/scientist/engineer; whereas, MG is geared to a mathematician. MM6 is comprehensive (800 pages!), but well organized that you can branch off to a given chapter without covering all prior chapters. Because I had a problem to solve, I started on Chapter 18, "Interpolation" without any problems. If you have no immediate issue - taking the book in order is advised. BUT THE BOOK IS WELL CROSS-REFERENCED THAT you can jump ahead to a topc of interest.
**MM6 is real modern: There are 4 chapters (out of 28) that delve into the Object Oriented aspects of Matlab, interfacing to C or Fortran, Extending Matlab with Java and integrating Matlab with Windows using Active X. 7 Chapters are devoted to Graphics, Interface, Movies. 9 Chapters are devoted to Topics that a modern Scientist or Engineer would need to know to take advantage of Matlab: ODEs, Optimization, Fourier Analysis. MM6 covers the topics in detail. Other chapters really get down to the nitty gritty of the Matlab programming language.
I believe that MM6 is ideal for an Engineer/Scientist who is looking for a book to take him or her from the Apprentice to a Journeyman level in Matlab. Beyond that, the books would have to become more specialty (Chem E, Controls,...) orientated. This will get you to the plane where you can then focus on your specialty.

18 of 19 people found the following review helpful.
MatLab programming
By Ana R.
I use this book everyday. It is easy to find what you need right away. Although, MatLab has demos that you can use to write programs or m-scripts, the book has features that are not in the demos that will make writing scripts much easier. It doesn't go into great detail with more difficult plots but allows for the those who just need 1-D, 2-D and simple 3-D plots to plot data points easily and fast. This is definitely the bible for first time users of MatLab.

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• Published on: 1600
• Binding: Paperback

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This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.

• Sales Rank: #2526160 in Books
• Published on: 2006-12-19
• Original language: English
• Number of items: 1
• Dimensions: 9.21" h x .81" w x 6.14" l, 1.32 pounds
• Binding: Hardcover
• 328 pages

From the Back Cover

Analysis, Synthesis, and Perception of Musical Sounds contains a detailed treatment of basic methods for analysis and synthesis of musical sounds, including the phase vocoder method, the McAulay-Quatieri frequency-tracking method, the constant-Q transform, and methods for pitch tracking with several examples shown. Various aspects of musical sound spectra such as spectral envelope, spectral centroid, spectral flux, and spectral irregularity are defined and discussed. One chapter is devoted to the control and synthesis of spectral envelopes. Two advanced methods of analysis/synthesis are given: "Sines Plus Transients Plus Noise" and "Spectrotemporal Reassignment" are covered. Methods for timbre morphing are given. The last two chapters discuss the perception of musical sounds based on discrimination and multidimensional scaling timbre models.

About the Author

James W. Beauchamp has been working in the area of analysis, synthesis, and perception of musical sounds for over 40 years. He is editor and co-author of Music by Computers (Wiley, 1969), a fellow of the Audio Engineering Society and of the Acoustical Society of America, former president and board member of the International Computer Music Association, and has published numerous papers in the Journal of the Audio Engineering Society, the Journal of the Acoustical Society of America, the Computer Music Journal, Proceedings of the International Computer Music Conference, Proceedings of the International Conference on Music Perception and Cognition, Proceedings of the International Society of Musical Acoustics, and Proceedings of the IEEE Workshop on Applicatiions of Signal Processing to Audio and Acoustics. For over thirty years at the University of Illinois at Urbana-Champaign he taught courses on musical acoustics, electronic music, and computer music (in the School of Music) and audio engineering, electronic music synthesis, and acoustics (in the Department of Electrical and Computer Engineering). During spring, 1988 he was a visiting scholar at the Center for Research in Music and Acoustics at Stanford University, and during 1994-95 he was a visiting researcher at the Institute for Research and Coordination in Acoustics and Music in Paris. His research interests have been in electronic and computer music synthesis systems, analysis, synthesis, and perception of musical instrument sounds, automatic pitch detection, and instrument separation.

Most helpful customer reviews

6 of 6 people found the following review helpful.
Excellent book on audio signal processing & musical timbre
By Charles Cooper
Covers both the "classic" techniques and some very recent advances in the analysis, modification and synthesis of musical sounds. The chapters on the psychoacoustics of musical timbre are excellent. I've got virtually every available book in the general area of audio signal processing and musical psychoacoustics, and this one is clearly the best so far. Chapters are contributed by several different authors. They provide both a clear review or summary of each topic and some cutting-edge "goodies" describing recent research and techniques in areas such re-synthesis of transients and noise, frequency tracking, and sound morphing.

2 of 2 people found the following review helpful.
Discovering the Beauty of Musical Sound: A Must-Have for Music Signal Processing Novice and Expert
By Michael (Gang) Ren
This book covers a major area of music signal processing, namely analysis, synthesis and perception (AS&P) of musical sound. The book is nicely written by leading experts in this field and coherently organized. In the analysis part, the authors provide important tools for investigating the internal structure of musical sound. These tools also serve as important feature extractors for content-based music information retrieval (such as multimedia search). The synthesis part is a nice extension for analysis. First, because analysis and synthesis are essentially always connected in concept and practice of Music DSP (such as "analysis by synthesis"), the synthesis part in this book is naturally part of the core arsenal of sound analysis. Second, musical sound synthesis has its own applications, the same as speech synthesis. The perception part is also nicely written and provides complete examples of cognition experiments with a summary of experimental results.

This book is important for graduate students, academic researchers, and industry developers working in the field of music signal processing. Besides covering the fundamentals of music SP, this book clearly outlines current research frontiers (and open problems). The algorithms are clearly illustrated and many have readily available implementations. I feel the majority of the available books on music SP are too close to speech SP (or they treat music SP as a "recent" extension from speech SP). This book is unique because it is specifically targeted to music (as the editor points out in the preface, music SP also has a very long research tradition). Another reason that I find this book appealing is that the most essential tools can be learned and implemented quickly. The book is edited in a consistent narrative style so it is easy to navigate. The depth in most chapters is masterfully arranged so the basics are covered first and then the advanced materials are included. I think this "structure" feature is important because it relieves the readers from having to perform extensive literature search themselves while maintaining easy readability.

2 of 3 people found the following review helpful.
Concise, Accurate, Comprehensive, Logical, Practical.
By Michael Tsiappoutas
I have been using this book on and off for the last 3 years, and intensely for the last year and a half, as part of my Ph.D. dissertation in Engineering and Applied Science---Physics. I have used directly only the first chapter, the only one written by the Editor, James W. Beauchamp. I've glanced through the rest of it, but my review is largely based on this first chapter.

Professor Beauchamp's organization and presentation of the material is amazingly clear and logical. This becomes more apparent when one considers (recent) literature on this very specialized field, acoustical digital signal processing (DSP). That been said, the material is not easy to grasp for the reader not familiar with DSP and acoustics fundamentals. The mathematical theory has a natural hierarchical structure and every single equation in the first chapter is justified. I could be hard-pressed to single out one equation or concept that does not add considerable value to this product.

I particularly enjoyed the deliberate emphasis on the interdisciplinarity of the subject. DSP, acoustics theory (both from a physics and an engineering perspective), and psychoacoustics all blend well, their parts carefully weighted to give the reader a working knowledge of each part's contribution. Intuitive as this may sound, it is not common practice in the general acoustics DSP literature. It takes a person with immense practical experience and theoretical background to achieve that. Professor Beauchamp's central role in this space is grounded on years of relevant teaching at the Univ. of Illinois (Urbana-Champaign) as well as his expertise on practical applications of this material.

Everything presented in the first chapter can be readily applied using Dr. Beauchamp's free software, SNDAN, on both Windows/DOS and Unix platforms, and can be found here . Once downloaded, the user can push his acoustic signals (saved as .wav files) by calling one of two functions, the Phase Vocoder analysis, or the McAuley-Quatieri analysis. Even though this is not a GUI application, the commands are sequential in the sense that once you upload the .wav file and chose which method you want to run, the DOS prompt asks you what you want to do next, like, for example, plot certain harmonics (only fundamental, or a weighted average of the first harmonics based on psychoacoustical experiments), spectral irregularity (corresponding to a feeling of "jaggedness"), normalized spectral centroid (corresponding to the percieved quality of sound brightness), amplitude or frequency over time, amplitude vs. frequency, amplitude vs. frequency over time (3-D plots), musical pitch vs. time (actual musical tones), and more. Another capability is raw calculation of fomulas presented in the first chapter of the book, like for example spectral centroid averages (so you can compare your signal to the perceived brightness of certain instruments), or the linear regression equation of a suggested analysis frequency for the Phase Vocoder method. Another notable feature is its ability to manipulate the signal by substituting certain spectral regions with root mean squares or weighted or straight averages of the same spectrum, apply filetring, smoothing, and being able to export the data as a raw ASCII file for further manipulation in other software like MATLAB, SAS, or R. Yet another cabability is its smart re-synthesizing of manipulated signals, something i have not had the chance to explore yet. As a matter of fact, SNDAN is so flexible, that it can be of as much use to the practicing sound engineer as it can be to the researching/teaching professor or graduate student. An ideal tool for sound lab demos and practice. If you download SNDAN and run your data through it, you will see so many interesting pictures of your signal, you will be tempted to buy the book so you can understand their meaning. And the first chapter of the book does justice to the peice of software. By the way, the rest of the chapters are not implementable in SNDAN.

The rest of the chapters feature well-established names, like Dr. Judith C. Brown (inventor of the Q-transform). I have not worked with timbre, but from what little i know, it seems like the treatment is as comprehensive as it is cutting-edge [three (3) out of a total of eight (8) chapters dedicated to it]. Fundamental frequency estimation, sound synthesis, spectral envelopes as additive models, and data reduction is some other topics covered.

The book is concise and can be read as a stand-alone source, the information is accurate and up-to-date, economical yet comprehensive, the material throughout is presented logically, and the theory is readily applied using the author's software, SNDAN. A wonderful and needed publication in the field of acoustical DSP, indeed.

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• Sales Rank: #1546350 in eBooks
• Published on: 2012-04-12
• Released on: 2012-04-12
• Format: Kindle eBook

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• Sales Rank: #1688980 in Books
• Model: 9782930353098shpgf
• Published on: 1998
• Original language: French
• Dimensions: 9.45" h x .98" w x 6.69" l,
• Binding: Paperback

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'Byron and Gothic' examines in detail the Gothic element in Byron's work, arguing that it has traditionally been undervalued. It looks closely at his reading in the novels of Ann Radcliffe, Monk Lewis, and Charlotte Dacre, and then discusses the Gothic elements in his Turkish Tales, plays, and satirical poetry, ending with two essays on Don Juan. Further essays explore the indebtedness of several European and English writers, including Charlotte and Emily Bronte, to the Gothic element in Byron's poetry.

• Sales Rank: #4961352 in Books
• Published on: 2009-03-01
• Format: Unabridged
• Original language: English
• Number of items: 1
• Dimensions: 8.20" h x .90" w x 5.80" l, .95 pounds
• Binding: Hardcover
• 201 pages

About the Author
Peter Cochran is a well-known international Byron expert. He edits Byron's works on the website of the International Byron Society. For CSP he has also edited Byron and Orientalism, Byron at the Theatre, and Byron in London. CSP are about to publish his 'Romanticism - and Byron'.

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Bayes Theorem: A Visual Introduction For Beginners, by Dan Morris

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Bayes Theorem Examples: A Beginners Visual Approach to Bayesian Data Analysis

If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

From Google search results to Netflix recommendations and investment strategies, Bayes Theorem (also often called Bayes Rule or Bayes Formula) is used across countless industries to help calculate and assess probability.

Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids.

In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved.

Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white.

For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include:

• A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.


• A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life.



• A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.



• Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.



• An expanded definitions, notations, and proof sectionWe have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about.



• A recommended readings sectionFrom The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look!

If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!

• Sales Rank: #1184 in eBooks
• Published on: 2016-10-02
• Released on: 2016-10-02
• Format: Kindle eBook

Most helpful customer reviews

13 of 13 people found the following review helpful.
Easy to understand introduction
By Doug Erlandson
As someone who taught logic for more than 20 years, I was interested in seeing how Dan Morris handled Bayes Theorem in what he calls "A Visual Introduction for Beginners." What Morris has presented is a useful way to provide the reader with a basic understanding of how to apply the theorem. He takes it easy step by easy step and explains matters in a way that almost anyone can understand. Moreover, by using Venn Diagrams and other visuals, he gives the reader multiple ways of understanding exactly what is going on in Bayes theorem. After an introductory section he applies Bayes theorem to examples from day-to-day life (such as how to ascertain the likelihood of having food poisoning versus the flu). The way in which he presents this material helps solidify in the reader's mind how to use Bayes theorem. For me, the best part came toward the end of the book, when he discusses how Bayes theorem is used in search and rescue operations, spam filtering, and even in the technology behind driverless cars.

The back material includes a section on "Recommended In-Depth Reading," which I would highly recommend for anyone wanting to go further in their understanding of Bayes theorem. (In fact, I'm seriously considering reading some of these works to enhance my own understanding of how to assess probability in everyday life.) The "Bibliography" also provides a list of articles and books that discuss various aspects of Bayes theorem.

5 of 5 people found the following review helpful.
A Helpful Illustration of An Important Statistical Tool -
By Loyd Eskildson
Author Morris begins by pointing out that Bayes' Theorem is used in Google search logic, Netflix recommendations, hedge fund decisions, and many other areas. Stated simply, Bayes' Theorem tells us how much we should change our assessment of probabilities when we encounter new evidence. Venn diagrams and decision trees are used to help visualize the mathematics.

3 of 3 people found the following review helpful.
An Excellent Visual Primer for Home School Courses... and Those Who Simply Absorb Information Better with Illustrations
By Tinfoot
For those who are predominately "Visual Learners", as I certainly am, I highly recommend Morris' introduction! I took statistics in college, and came away with the highest math-related grade I ever got purely due to the visual tools that statistical analysis provides... yet I must say I believe I gained more from this book than I did from college statistics. Or at least, one fantastic refresher after 20 some years after the fact. :)

Picked up this book during a brief, open-to-all-shoppers free promotion, and absolutely glad I did. Yet I would certainly say the $2.99 is a good value, especially for Home School educational purposes.

See all 24 customer reviews...

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