laptak2003/AmazonDataScience huggingface dataset:
I have come to the conclusion that AI is just something all business people have to accept. Ai is around us all and every day. This book has given me a good understanding of how data science works. it also clearly gives you reasons why it is critical to give programmers the right data and instructions to give you the information you need to make the right decisons. I also found it fairly easy to read (considering i am not a data scientist). Simply a great practical book to help you leverage your data for maximum business benefits. More importanly, I have a much better understanding of the power of AI to use in my business. - can I give this book 6 stars!
This is a great read for any executive that is wondering where to start with data science. Nir Kaldero does a wonderful job outlining the steps needed to implement data science within organizations from a top down approach. A must read for leading edge executives.
Quite a good book if not of the keep repeating chapters for the later part of the book.  The first few chapters are insightful and give you some valuable idea and advice. But come to the middle part (50%) of the book onwards, the same thing keep repeating and is nothing more than rehashing of the first few chapters.
I enjoyed this book.  It is a quick read and gives a good understanding of the importance of the need for a data science approach to your business.  I would recommend this book to anyone who wants to grow more in not only IT, but business in general.
Good book. It would be better if the topics were treated with more details because I feel that is not easy to apply what the book teaches.
This is kind of a book you can boast having read and keeping on your bookshelf. It gives us good understanding about how we can use machine learning to solve business problems, without difficult equations!
I highly recommend this book to all business leaders out there. This should be a required read in every business school.
Great book loved it
Executives don't care about fancy AI algorithms, all they want to know how can AI better my ROI. This book tries to address key aspect of DS engagements; that AI is not so much about finding right answers than finding right problems. And most difficult part of data scientistâ€™s job is how to convert business problem into an analytical problem and that into an engineering problem. The book proposes six principals that orgs need to adopt in order to leverage AI & what are mental roadblocks of people involved in doing so . This can be good read for data scientists starting out in their journey as a view from other side of horizon. The book language may seems simplistic (well its written for executives!) but being able explain complex mathematical concepts in layman's terms is a valued skill. Those who had been dealing with business for long time, this doesn't really offer anything new but rather a framework with layered structure about how to approach hard to impress executives. (similar to CRISP DM but more nuanced & elaborated with case studies. Nothing earth shattering). The book however does not provide an empirical method to calculate ROI; a formula that justifies DS investments and link it to bottomline. Hence the rating (***3/5 ) (Reading Time- 3 hr 12 mins or 1 football game )Link - https://www.amazon.com/Data-Science-Executives-Leveraging-Intelligence/dp/1544511256Free Pickup - I just finished the book and folks at Astor are more than welcome to take my copy.
I enjoyed learning about the 4th industrial revolution and how enterprise companies can remain ahead of the curve by adapting. This book walks through different case study scenarios and is for both the technical and non-technical person. Data Science for Executives was a fun follow while walking through innovation and what it looks like now and will look like in the future. I look forward to recommending this book for my colleagues, friends and industry thought leaders.
This book does a great job explaining what the 4th industrial revolution is all about. The author provides strategies and guiding principles coupled with case studies and actionable recommendations. Reading this book will arm any leader with a toolkit to navigate and thrive in the world of data science and machine learning -- I think that this is a must-read for anyone who is interested in understanding how to employ these new fields to their business.
Well written, strategically insightful, a must read in todayâ€™s new era of data driven business.
Best practices in data science for business leaders
Must have book for any manager
I really love this book. This book is written all about success.
I love this basic and beguiling book! It's valuable for a fledgling and still not very fundamental for a further developed peruser. Heaps of accommodating nitty gritty data.
Pretty high level material and good for reference.
A great read, the glue between what business gets and how the technology supports it - high level
Well-written and easy-to-understand.
I needed a jump start on Data Science for a new job I was starting. I come from the R world, so major transition. This kindle book got me up to speed, and I hit the ground running.
Explained very clearly and the way author explained. I really like this text book. They're also full of good information. Recommended to all for this data science guide.
This is an excellent book for anyone interested in data science or machine learning. It covers a broad range of topics, with very clear explanations and examples.
Easy and quick to read. 'Beginner' level presentation of a new concept. Repetitiveness is likely intentional to help learn a new way of thinking.
This book affords a extraordinary creation to deep and reinforcement studying. First, It does a good task at explaining in element the fundamentals of neural networks. Then, it step by step introduces more complicated fashions like convolutional and recurrent networks in an smooth to apprehend way.
I choose this book in order to research and begin to understand it. This has helped me to begin what I needed!! I appreciate it.
If you're looking to get started with Data Science, but you're confused about which material to use: videos, books, a specific online class, etc...start with this book and see where it takes you. This book will give you a great place to start, and afterward, you will have enough knowledge to make an educated choice on what educational resource to use next.
A fantastic book for Layman in Data Science. if you are starting in the industry like me, take this book now. The best book on Data Science and coding I have yet seen at this price... Thanks, Benjamin Smith ...
the writer has made an amazing try to give an explanation for complex theories in a simplified manner through giving examples applications. it is a reference to make the system a touch bit less difficult.
A data scientist is a professional who manages enormous amounts of data to come up with compelling business visions by using various tools, techniques, methodologies, algorithms, etc.
this is a excellent  e-book to learn about data technological know-how. it may additionally be used as a reference for all specialists who intend on benefiting from facts analytics.
Great contain guide forever. I'm satisfied with this guide. I'm going to best rating this good content book. Thankful!
This was my first book by the author. As with the first, she presents the information in a clear, unbiased way that I found interesting and informative.
Before purchasing this book, I've read this author's first book.  An overall excellent guide for us! Grateful!
I found this book full of tips and advice I will use. This book was very easy to read and understand.
An excellent content guidebook from the Author. Thanks to the author. Great creative guide!
Here is good content included by the Creator.  I bought it from Amazon, and I'm satisfied.
I'm satisfied and Impress also from this guide. Thanks for the Author. Recommended!
I have been searching for a book like this for months to learn the special stuff on it.
This is an easy to read book that provides high quality information.
this book is really helpful and informative, surely recommended.
It is a shame editors no longer work closely with authors, and a bigger shame that authors are now in charge of 'self producing' books all the while prices increase. Graphics are too small with  minuscule text. Even worse, the programing examples are on a lightly colored text on a gray background. Not even readable. Why is there no feedback insisting these rookie mistakes are not corrected.
This is a great book.  Very useful for advanced undergrad and MS level courses on this modern topic.  In near future, I expect to become default book for courses in FDA.
Easily the best introduction book for learning Data Structures and Algorithms. While there are superior books about DS&A, most of them require a deeper knowledge of general Computer Science and Discrete Mathematics to really grok. I found Mr. Lafore's book gets the point across in a manner that allows a developer to effectively use DS&A's without all the ceremony. I read this book ahead of taking formal classes in Data Structures and Algorithms and made these courses a breeze.
This book is limited to 2 kindle devices. Which is ridiculous given I can find a PDF out there on the dark web.  So, since Amazon's Device and Content management is so convoluted I can't just remove this from 1 device, I have to remove the whole device to get back the counter.  Silly DRM things aren't worth the hassle for 1 or two more devices. Simultaneous Device Usage: Up to 2 simultaneous devices, per publisher limits
This is an excellent textbook and I have adopted it for spring term in our algorithms course. Well typeset, many examples, code samples, and a little history. There is one TREMENDOUSLY IRRITATING aspect of its delivery, but I will not de-star a superb textbook for this flaw:  There is an arbitrary limit on the number of devices on which the book can appear. I would like to read the book on my laptop, my desktop, either of two Kindles AND show the book on the projector in the classroom by viewing it on the podium computer. With NO benefit to the author or publisher, and at a huge inconvenience to me, I cannot use the book the way I had planned. IF there were an equivalent text without this capricious installation cap I would drop this book in a heartbeat and replace it with one published in a manner the takes the reader's goals into account. SHAME on Amazon, on the publisher, and a heads up to the Author that his outstanding work is being partially silenced.
I bought this book years ago and studied it thoroughly. The language is clear and precise and the presentation is systematic and well organized.The code examples, on the other hand...are frustratingly bad. It's not that they are incorrect; it's just that they are obviously written by someone whose forte is in algorithms and not in clean code. Cryptic variable names, duplicate code, needlessly complex expressions--this book has it all.And for what it's worth, its sample code for bubble sort, which is literally the first and simplest of the algorithms that it introduces, has an error!It's worth the purchase for the text, but plan on writing your own implementations, refactoring theirs, or searching for examples elsewhere--and maybe even double-checking their work.
This is the book that will teach one the fundamentals of data structures in such a way that even people with little programming experience can follow through and understand. It also launches one into the proper settings for developing algorithms through thinking about efficiency. My recommendation would be to study this book first before any advanced algorithms book. It's easy to read and understand. Also try to do the review questions and the programming projects as they help to reinforce the topics discussed.
I give this book 5 stars. 1. It has a great Table of Contents and Index. Finding topics is a breeze. 2. The explanations for the various data structures presented were outstanding. Explanations were built using simple words and short sentences which facilitates grasping new concepts and definitions. When new words were introduced, their meanings were thoroughly and simply explained. It is a good read. 3. Every data structure and its mechanisms were represented by drawings of colored objects that represented the various data structures. It made visualization of abstract concepts a breeze. This book has the best pictorial representations of Data Structures I that I have seen. (I reviewed over 14 textbooks. Most were didactic regurgitations of either Knuth's tome or Weiss, i.e., difficult to read, appear written for an audience of academics, not students.) 4.The book is very well made. I used it every day for 4 months and it showed no signs of wear and tear.  Several other books had pages falling off of their backing withing two weeks of purchase. I returned those books. This book will be will me for decades. 5. The CD included with the book is quite good, and the price of this book was far better than other books. It is an excellent value. Why did I need a book about Data Structures? One required course that I took for my CSCI degree was Data Structures. The book chosen by the CSCI department for our course in Data Structures was "Data Structures & Algorithm Analysis in Java " by Mark Allen Weiss. I reviewed it in detail and found that it was not written in a easy to understand format. Also, it did not include enough diagrams to help me grasp abstract concepts. After reviewing this book, "Data Structures And Algorithms in Java" I purchased it and used it exclusively. It was essential to helping me grasp the concepts of how B-Trees and other structures operate and when they are indicated for use. This book is one of the reasons I got an "A".
love this textbook. great for someone who doesn't even know java as the first chapter explains what you would need to know to follow the code. end of the book provides even better sources for this topic, although the book does a great job. learned what i came for.
This is an excellent book on Data Structures and Algorithms, for some reason my teach chose a book that isn't nearly as good, but this one really helped me to understand what the different algorithms are doing. Especially some of the more abstract ones like Hash Tables and Graphs.
Wonderful book for clarifying a topic often obfuscated by rigorous mathematical legalese. I was able to implement many of the algorithms and data structures by the rhetoric alone and without looking at the code.
I like the way Lafore derives algorithms in simple terms. Would love to see a modern updated version of this book. Other Java Algorithm books I've looked at did not have all the practical examples Lafore does, or they leave the practical examples to the problems which is not very convenient if you are looking for an implementation.
Great, concise, and informative textbook. I highly recommend it, especially if you are set on working with Java long-term. I would keep it if I were not trying to clear up space and did not already have the Algorithm Design Manual, which I think is probably a touch more in-depth.
Awesome book to refresh data structures and algorithms for interview prep. The hash table section is terrific ..my fav book. Only critic is i didn;t care for the accompanying sample code and interjection of it inside the chapters - author should take those out to make it more concise.
I have many computer science textbooks. Some are horrid and should be thrown in the trash and lit on fire. However, "Data Structures and Algorithms in Java" by Lafore is an excellent textbook! There is something about this book that makes concepts easy to read and learn about, and also makes it easy to refer to as needed. Forgot how to implement a heap? Lafore will quickly show you, and even provide you with reference code to make your life easier!Overall, this book is by far the best textbook I have ever had the pleasure of reading, and I cannot recommend it enough.
I have been programming for few years but was not solid in data structures and algorithms so was looking for a book which starts with very basics though enough knowledge to get in my head with very easy words and this is it. Finished 3 chapters but have not done programming questions yet and feel good about it. Worth buying !
I have never attended Computer Science classes at a university level. For a long time, I never felt that I've been left out of something mythical. As the time passed I became more and more addicted to continuous improvement, and eventually I stumbled upon job interviews that were requiring basic knowledge of common algorithms like quicksort, or answers to questions like what a heap was. So I bought the book and now I'm through a successful job interview where I could show off my recursive graph theory knowledge. And I learned it from this book.The language is straight-forward with down-to-earth examples and code. The applets provided to help the understanding clearly achieve this goal. It's a 5/5.
I took this class two years ago with a terrible textbook....I wish I'd had this one. I bought this book for my own edification, and to try to help myself with another class dealing with data structures.So far, it's great. Written with the practical in mind, the authors step you through how to write algorithms and go into some detail about what you're doing and why. Full code examples are included, and alternate methods are discussed.
The code in the book is terrible. Nothing is spaced out correctly, the extra code has multiple classes packed into one .java file, and the naming conventions (Naming things with two letters or in poor ways such as "ddata") make the code very difficult to follow without re-factoring all of it. I even found multiple errors, one of which caused one of the sorting algorithms to not finish correctly.Other than the poor code, The book does a good job of explaining how the data structures are used and manipulated. The algorithms are explained with good examples as well. The book did help me learn in my Data Structures and Algorithms I and II classes but I also needed to look up quite a bit of information to fully understand the more complex topics.
This is an awesome intro to data structures.  I purchased the book over Christmas break in order to prepare for a data structures class at school.  Due to the fact that the book we were using had gotten such poor reviews on here and after hearing people talk about how hard the class was. I wanted to get a head start and couldn't have picked a better book for self study.  I  want to preface this by saying I had no idea what a BST(Binary Search Tree) was before even starting this book and after finishing had a rock solid grasp on all the DS in the book.Pros:------* Really easy to read the author has a very laid back style and actually explains things, and unlike most authors does a good job of making the foundational concepts clear.* The books webpage has a bunch of applets you can download for free(1 for each data structure covered in the chapter) its very nice because the author uses them when explaining things.  So you can actually see what happens when for example you insert something into a red black tree or delete something from a 2-3-4 tree.  I find that this is much more inline with the style teachers use in class by explaining and drawing on the white board (which is obviously lacking from most books).*Each data structure gets its due, the author devotes 40-60 pages on each DS and really goes in depth about each of their unique features.  For example there is a really good description in the hash table chapter about the different kinds of collision handling which was glossed over at best in the DS book I used for my class.*Very in-depth coverage of the usually difficult RBST, which when we learned them in school I was already so comfortable with them it was a review if anything.Cons:------*This really is an introduction to DS the you only get about 12 of them and they are usually the 1 or 2 basic types for each category.  For example in the heap chapter the author talks about priority queues and binary heaps(which he fails to call them by name).  But there is no mention of leftist heaps, Fibonacci heaps, or any of the other types.  This isn't a big deal since they can be easily understood with the knowledge you'll gain from this book.I'm honestly hesitant as to whether or not to list this as a drawback because its honestly a very minor one and for the author to cover all those ancillary data structures in the detail the book goes into it would probably have to be a 3-4 volume set.*Lacks the proofs that most D.S. books include this isn't a big deal if you know how to do induction proofs you can look them up online and prove them for yourself (which is the point anyway).Bottom Line:------------Incredible D.S. book-Excellent for self-study-Easy to read/understand-Applets are very helpful-You will have an extremely solid understanding of the D.S. covered in this book when your done reading it
Overall, this book seems like a good resource for learning or refreshing your understanding of data structures.I am writing this review because there is a problem with the kindle formatting.Being a computer science book, this book has a lot of code in it to look at.But it seems that nobody at amazon checked whether this book is easily readable. A few irritations:1.  Small irritation: The code in this book is in images. So when you change the size of the font, it does not change.2. Bigger Irritation: This makes you wonder whether anyone has actually looked at how this book looks on kindle before publishing it. In java code, which is what this book uses, indentation and alignment of code matters a lot. When things are misaligned, it can really mess with your understanding or the readability of the code. As an example, about 10% into the book, there is a code that shows the  (776 of 8942) "HighArray" data structure, as the author calls it:The beginning 20% code is totally misaligned with the remaining 80% of the code to the point that it is hard to read the code.This issue exists both on a Mac and iPad app of Kindle.The book seems well written and thoughtful, it is sad to see a good book like this suffering from formatting issues.Thanks for a wonderful book that comes with lots of applets demonstrating data structures. The author really makes it easy for you to understand the concepts.
I am a great fan of Robert Lafore's books. I purchased this book as soon as I came to know about it. I read the book with maximum expectations and never felt disappointed by it. Students who feel intimidated by DSA concepts should definitely read this book. A great book from a great author.
This author can put himself in readers' position. He is a good author for beginners. After reading his book(this specifically), you will have solid foundation to leap deeper into more difficult aspects of the subjects covered. This book is a must for those who want to start learning the subjects(mostly students).
The textbook clearly and sufficiently explains the material and walks you though it fine, but whoever designed the layout needs to be replaced with someone who was studied this type of material before.  Specifically, all the code that is included within the chapters has been turned into tiny images that DO NOT SCALE with the text.  Unless you are a pidgin you are going to have to double click the image to isolate it and bring it to the top of the player's focus and then zoom in to see what the code says, then back out to read about what it's doing in the text, double click again, zoom back in...  well, you get the idea.  To make the situation worse, any time the code is more than 10 or so lines, they break it up into chunks.  For someone that is trying to take in a lot of information in a relatively short period of time this can be really frustrating.  Given the choice again, I would take the paper book.
Nicely explain and understanding it.
I could not have wished for a better book on this topic
Data Sructures & Algorithms in Java- this item has met my expectations.Thank you very much.Wellington M. Etrusco - jun. 8, 2014