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Free Ebook Algorithms For Dummies (For Dummies (Computer/Tech))

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Algorithms For Dummies (For Dummies (Computer/Tech))

Free Ebook Algorithms For Dummies (For Dummies (Computer/Tech))

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From the Back Cover

Relate algorithms to real-world uses Develop skills for using algorithms Learn to use Python® to test how algorithms work Wrap your mind around algorithms You don't need a PhD to make sense of algorithms. This clear and accessible guide shows you how algorithms influence our daily lives—from online interactions to in-person exchanges. They are also extremely important when it comes to making decisions of all sorts. If you want to know how to use problem-solving procedures in the real world, Algorithms For Dummies is an enlightening introduction to this fascinating, pervasive realm. Inside … Perform data manipulation Consider algorithm design Learn the history of algorithms Grasp graph basics Manage big data Reduce complex algorithms Guide a robot in a maze Program your own algorithm Visit the companion website at www.dummies.com/go/algorithmsfd to download all the source code for the examples in this book.

About the Author

John Paul Mueller has produced 102 books and more than 600 articles to date on topics ranging from networking to machine learning. Luca Massaron is a data scientist specializing in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques.

Product details

Series: For Dummies (Computer/Tech)

Paperback: 432 pages

Publisher: For Dummies; 1 edition (April 24, 2017)

Language: English

ISBN-10: 1119330491

ISBN-13: 978-1119330493

Product Dimensions:

7.4 x 0.9 x 9.2 inches

Shipping Weight: 1.2 pounds (View shipping rates and policies)

Average Customer Review:

3.9 out of 5 stars

16 customer reviews

Amazon Best Sellers Rank:

#264,715 in Books (See Top 100 in Books)

Written in a form accessible to understand the basic computations of the articles and books on AI that I have struggled to decifer.

The dummies books are pretty good usually and an easy read but this one is exceptional.Evidently from the bio on the author in the book, it says the author wrote over a 100 books and it shows.I have a CS degree and it is not about the mechanics but understanding of what is going on.This book addresses that well. I did not read the whole book, I started on page 155. I did not like his choice oflanguages for his book (Python) I would have preferred C++ or Java. Something I learned from the book I did not know is that the Pythoninterpreter is not thread save. I think this will limit Python's chance of success in the future.

The author provides a warning (but not until page 49): If your computer runs Windows 10, this book is not for you.

Great to review algorithms for interview. I also learnt a bit of Python on the way.

This book is too smart for a dummy like me. Joking aside, as an algorithm novice, I need a book that presents algorithms, in a simple and easy to understand format. I apologize to the author, but this book is a little on the boring side to me. I think it would hold my interest much more if it explained algorithms in an easier to understand way, and at the same time, gave real life examples of how such algorithms can be used. A good example is the second edition of "Data Structures & Algorithms in Java" by Robert Lafore. I bought that book when I took an introductory class to computer programming. I have never programmed in Java (to this day), but Lafore's book explained the algorithms that we covered, in an easy to understand way.If you are a real dummy like me, I can tell you that there are simpler algorithm books out there. That is the only reason that I can't recommend this book more strongly.

I hold a master's degree in computer science - with a focus in algorithms and computational complexity. But I received that degree 18 years ago, and most of the specific knowledge is long forgotten.I find this to be a generally useful book for me to have, despite my not being a beginner or dummy. For example, I can recognize when I'm encountering a traveling salesman problem, but I certainly don't remember how to optimally approach it. That's when this book comes in handy.I can pick this book up and get the dummy overview on implementation approaches - as a refresher.I think this book works for people who have already studied algorithms formally in a computer science program, or who are in a highly related field - stats, math, whatever. Skim/skip the first couple of chapters ... or, really, just keep it as a reference rather than as a book to be read. It's not the best reference around but it's actually got its place. The focus is more practical than academic. This might be for you, then, if you've already done the academics. And if you can laugh at how you spend your days with neural networks and deep learning, but you don't remember the difference between quicksort and bubblesort?

Algorithms textbooks, necessarily, must put heavy emphasis on theoretical aspects. As a result, getting the "big picture" of what algorithms are about can get lost in the details.Algorithms for Dummies nicely remedies this. It certainly talks about theory, but its primary focus is on the practical. Various algorithm theories are accompanied by Python code for the reader to type and test...code that demonstrates how the algorithms work, and how they perform as the problem size grows. I really appreciate the lab approach to learning about algorithms in somewhat broad strokes.I also appreciate that, in addition to algorithms one would expect (Dijkstra's algorithm, greedy algorithms, various sorting algorithms, and so on), there are chapters that focus on the cutting edge of algorithms: Chapter 21 focuses on "Ten Algorithms That Are Changing the World" (such as those related to data compression and cryptography), and chapter 22 is "Ten Algorithmic Problems Yet to Solve" (multiplying really large number, reducing edit distance calculation time, and more).This book assumes some basic understanding of what computer programming is about. Don't worry if you don't know Python though....the examples are already written for you. If you plan to take a formal algorithms course in school, you might consider this as a warm up: it will help you get a handle on the big ideas, and then your course can get into the nitty gritty details. Or, if you know programming but just wondered about why algorithms are important in computer science, this is a great way to learn.

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