By Mark L. Murphy
Android Programming Tutorials express you what you are able to do with Android, via a chain of forty person workouts. Android Programming Tutorials delivers hands-on guide in the way to construct refined Android purposes, utilizing the various applied sciences defined in CommonsWare's different Android books. those workouts lead you thru the fundamentals of making Android functions, all through many enjoyable Android good points like web entry, position monitoring, maps, built-in WebKit browsers, cameras, accelerometers, domestic monitor widgets, and lots more and plenty extra. complete resource code to the entire workout solutions is on the market, that will help you if you happen to get caught. Android Programming Tutorials makes an exceptional significant other quantity to extra conventional Android books that purely inform you what's attainable.
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Become familiar with key info visualization and predictive analytic talents utilizing R
About This Book
• collect predictive analytic abilities utilizing quite a few instruments of R
• Make predictions approximately destiny occasions by means of researching precious info from info utilizing R
• understandable guidance that target predictive version layout with real-world data
Who This publication Is For
If you're a statistician, leader info officer, information scientist, ML engineer, ML practitioner, quantitative analyst, and scholar of laptop studying, this is often the ebook for you. you will have easy wisdom of using R. Readers with no past adventure of programming in R can be in a position to use the instruments within the book.
What you are going to Learn
• customise R through fitting and loading new packages
• discover the constitution of knowledge utilizing clustering algorithms
• flip unstructured textual content into ordered info, and procure wisdom from the data
• Classify your observations utilizing Naïve Bayes, k-NN, and determination trees
• decrease the dimensionality of your information utilizing primary part analysis
• detect organization principles utilizing Apriori
• know the way statistical distributions may help retrieve info from facts utilizing correlations, linear regression, and multilevel regression
• Use PMML to set up the types generated in R
R is statistical software program that's used for facts research. There are major sorts of studying from info: unsupervised studying, the place the constitution of information is extracted instantly; and supervised studying, the place a classified a part of the information is used to benefit the connection or ratings in a objective characteristic. As vital details is usually hidden in loads of information, R is helping to extract that details with its many average and state-of-the-art statistical functions.
This booklet is jam-packed with easy-to-follow instructions that designate the workings of the numerous key facts mining instruments of R, that are used to find wisdom out of your data.
You will how you can practice key predictive analytics projects utilizing R, akin to teach and try predictive types for category and regression initiatives, rating new facts units etc. All chapters will advisor you in buying the talents in a realistic approach. such a lot chapters additionally contain a theoretical creation that may sharpen your realizing of the subject material and invite you to head further.
The booklet familiarizes you with the commonest information mining instruments of R, reminiscent of k-means, hierarchical regression, linear regression, organization ideas, imperative part research, multilevel modeling, k-NN, Naïve Bayes, selection bushes, and textual content mining. It additionally presents an outline of visualization recommendations utilizing the elemental visualization instruments of R in addition to lattice for visualizing styles in info equipped in teams. This publication is helpful for someone eager about the information mining possibilities provided by way of GNU R and its packages.
Style and approach
This is a realistic e-book, which analyzes compelling facts approximately existence, well-being, and demise with assistance from tutorials. It will give you an invaluable approach of studying the knowledge that's particular to this booklet, yet which can even be utilized to the other info.
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Extra resources for Android Programming Tutorials (3rd Edition)
13 A Simple Form Step #3: Support All Screen Sizes You may want to test this application on an emulator. You may want to test it on a phone. You may want to test it on a tablet. The layouts we use in these tutorials will work on a variety of screen sizes, but they will work better if we tell Android that we do indeed those screen sizes. To that end, we need to modify the manifest for our project, to add a
To that end, we need to modify the manifest for our project, to add a
Simple_list_item_1 layout for now, and we get our Activity and model from LunchList itself. We also need to change our adapter data member to be a RestaurantAdapter, both where it is declared and where it is instantiated in onCreate(). Make these changes, then rebuild and reinstall the application and confirm it works as it did at the end of the previous tutorial. Step #2: Design Our Row Next, we want to design a row that incorporates all three of our model elements: name, address, and type. For the type, we will use three icons, one for each specific type (sit down, take-out, delivery).