Regression 8 ForecastingSeriously buy this book nowIt s very easy read and yet the author does not merely skimp important concepts so you get best of both worlds a good solid foundation and practical implementationOne thing I like is for 90% of the time the subject matter and the spreadsheet diagrams are on the same set of pages so you don t have to go back and forth between pages to sync text and images really great intro to modern data scienceI really liked the way he broke the material up by scenarios eg predicting which Target customers are pregnant based on their previous purchases figuring out how customers cluster so you can target them with marketing etc The book walks you through the calculations first in Excel so you can get a sense of how they work and then uickly at the end shows you how to achieve the same thing in R in 3 lines I think it s a good first book that will help you figure out what techniues you need to drill in #To That Are Specific To # that are specific to particular domainit s both clear and written with enough humor to keep you going I m not an expert in the field of Data Science yet but this seemed like A Very Good Introduction very good introduction m familiar with many AI Machine Learning techniues and I know the difference between supervised and unsupervised learning but all those basics are reviewed in the text The author s voice is witty and engaging throughout which helps with a topic like thisThe topics covered included Cluster Analysis K means Network Graphs and Community Detection Naive Bayes Optimization Models Regression Ensemble Models Forecasting and Outlier Detection Each chapter walks you through some sample data that is available to download and coaches you how to manipulate it by hand using Excel This is strictly as a hands on learning techniue the second to last chapter is about how to do everything a lot easily once you understand what you are doing using R The conclusion addresses what you need to be as a data scientist that isn t actually data science understanding the true problem to be solved avoiding focusing on things that don t matter performance accuracy at the expense of usability and the fact that as a data scientist you are not the most important part of a business you are there to help make the most important part betterWhile the Excel coaching gets a little tired during a read through it would probably be much better for someone who actually works the examples Still a good read. Ic algorithms Clustering via k means spherical k means and graph modularity Data mining in graphs such as outlier detection Supervised AI through logistic regression ensemble models and bag of words models Forecasting seasonal adjustments and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each techniue But never fear the topics are readily applicable and the author laces humor throughout You'll even learn what a dead suirrel has to do with optimization modeling which you no doubt are dying to kn. .
characters ê PDF, eBook or Kindle ePUB free ☆ John W. Foreman.
A fun little book on data science approaches using nothing but Excel spreadsheets Perhaps not "The Most Practical Option As "most practical option as individuals interested in data science approaches will likely use niche tools but I WAS SURPRISED AT THE HOW was surprised at the how is able to extract a lot of functionality out of Excel worksheets Pretty awesomeI have the vague suspicion that this book taught me way complex things than it felt like I was learningEasier to learn when following along with the excel notebooks otherwise the euations are incomprehensibleI m not sure what I learned exactly I mean in terms of how much theory vs applied whatev but it did well at whatever "It Was Trying To Do "was trying to do seems like it will make learning the theory or applications easier I ll have a good set of fun examples to compare things to Good book that covers a wide variety of data analytics Some chapters had my head spinning and I would have appreciated a bit explaining rather than ust a excel formula That being said Great Even if it has some flaws the overall feeling is very clear it s a great book that easily proves that data science may be fun sexyPros it s very practical Jupiter just actionust meat everything presented in practical cases the examples are perfect very clear easy to understand they don t seem virtual author disassemblies all the activities into atomic steps to make his considerations easy to follow no shortcuts no simplifications but he still manages to not bore the reader the language used is very clear and doesn t resemble typical pompous scientific mumblings the chapter about R simply kicks ass doesn t teach you the language but shows its capabilities that s what I expectedCons In some cases book seems to be too practical a bit of theory wouldn t hurt anyone and could make the content clear 2 or 3 times the dive from simple to wtf is that happened withing a paragraph or two well no one guaranteed it will be smooth as butter right To summarize I love the book First 3 chapters were as gripping as a good thriller Recommended We all know that the field of data science is lurking in the depths of literally everything we consume but often than not I ve only been offered a hand wavy description whenever I ask someone to explain it to me Or even worse I m bombarded with maths euations whenever I venture onto a Wikipedia article about statistics Will data science forever be ensconced in the halls of academia boardrooms and creepy sci fi. Data Science gets thrown around in the press like it's magic Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisionsBut how does one exactly do data science Do you have to hire one of these priests of the dark arts the data scientist to extract this gold from your data NopeData science is little than using straight forward steps to process raw data into actionable insight And in Data Smart author and data scientist. Movies outside our graspData Smart is John Foreman s response to this Uestion In The Book In the book are introduced #To Eight Common Data Science # eight common data science Thankfully Foreman wrote the book with the beginner in mind all examples are done in Excel and he keeps the statistical concepts to a minimum However there are glimpses into the depths of statistical theory and a rehashing of all eight methods in R for the technically mindedAlthough you could skip ahead to the end for "the uicker R versions of each techniue the level of granularity with which he presents each techniue offers a lot for "uicker R versions of each techniue the level of granularity with which he presents each techniue offers a lot for and amateurs alike If all reference books had Foreman s writing style I would have enjoyed my Statistics classes a lot This book definitely added a lot to my professional repertoire the fact that I can finally understand AI descriptions in sci fi movies is Khle Sterne Gedichte Prosa Briefe just the icing on the cake Beware this is not an introductory book IT assumes knowledge in math and Excel So even though the book is code free minus a few not enough for my taste R replication of the examples in Excel it does involve building complex formulas and using advanced Excel functionsSide note there is also a uick and dirty introduction to Gephi for network visualization This book was utterly outstanding however to truly engage with it I m going to have to read it again with a computer open following all the examples in Excel What Foreman does is extraordinary Using simple language well as simple as you can get given some of the trickiness of the topics he introduces you to some of the latest and greatest data science topics But they re all explained in entertaining funny ways but with a great clarity It s a great example of how to explain complicated ideas in as simple a way as possibleBut it gets even better because then he shows us step by step how to use all these formulas in Excel Which means that nearly everyone can have a crack at doing some calculations and become a data science master I m already thinking of ways I could start to use this stuff at workIf you ve been noticing like me the growing number of data scienceobs appearing and wondering where you can learn all that stuff nowadays this is a great easy way in to that world Full 5 stars There is no reason why you should not buy this book if you even are remotely connected with things like Data Science Analytics Forecasting etcI enjoyed all chapters and especially Chapters 4 Optimization John Foreman will show you how that's done within the familiar environment of a spreadsheet Why a spreadsheet It's comfortable You get to look at the data every step of the way building confidence as you learn the tricks of the trade Plus spreadsheets are a vendor neutral place to learn data science without the hype But don't let the Excel sheets fool you This is a book for those serious about learning the analytic techniues the math and the magic behind big dataEach chapter will cover a different techniue in a spreadsheet so you can follow along Mathematical optimization including non linear programming and genet.