Android Apps for Absolute Beginners

Filename: android-apps-for-absolute-beginners.pdf
ISBN: 9781430247883
Release Date: 2012-11-28
Number of pages: 400
Author: Wallace Jackson
Publisher: Apress

Download and read online Android Apps for Absolute Beginners in PDF and EPUB Anybody can start building simple apps for the Android platform, and this book will show you how! Recently updated to include Android Jelly Bean, Android Apps for Absolute Beginners, Second Edition takes you through the process of getting your first Android apps up and running using plain English and practical examples. This book cuts through the fog of jargon and mystery that surrounds Android apps development, and gives you simple, step-by-step instructions to get you started. Teaches Android application development in language anyone can understand, giving you the best possible start in Android development Provides simple, step-by-step examples that make learning easy, allowing you to pick up the concepts without fuss Offers clear code descriptions and layout so that you can get your apps running as soon as possible This book is Android Jelly Bean compliant, but is backwards compatible to most of the previous Android releases. What you’ll learn Get yourself and your computer set up for Android apps development Use the Eclipse programming environment to make your Android development efficient and straightforward Follow steps in plain English to build simple apps and get them working immediately Style your application so that it appeals to potential users Make use of the Android’s touch screen Use shortcuts and cheat sheets to create apps the easy way Use the basics of Java and XML to move onto more advanced apps Who this book is for If you have a great idea for an Android app, but have never programmed before, then this book is for you. You don’t need to have any previous computer programming skills—as long as you have a desire to learn, and you know which end of the mouse is which, the world of Android apps development awaits!


Machine Learning For Dummies

Filename: machine-learning-for-dummies.pdf
ISBN: 9781119245773
Release Date: 2016-05-11
Number of pages: 432
Author: John Paul Mueller
Publisher: John Wiley & Sons

Download and read online Machine Learning For Dummies in PDF and EPUB Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!


Introduction to Machine Learning

Filename: introduction-to-machine-learning.pdf
ISBN: 9780262028189
Release Date: 2014-08-29
Number of pages: 640
Author: Ethem Alpaydin
Publisher: MIT Press

Download and read online Introduction to Machine Learning in PDF and EPUB The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.


Android Apps for Absolute Beginners

Filename: android-apps-for-absolute-beginners.pdf
ISBN: 9781484222683
Release Date: 2017-03-14
Number of pages: 484
Author: Wallace Jackson
Publisher: Apress

Download and read online Android Apps for Absolute Beginners in PDF and EPUB Get your first Android apps up and running with the help of plain English and practical examples. If you have a great idea for an Android app, but have never programmed before, then this book is for you. Android Apps for Absolute Beginners cuts through the fog of jargon and mystery that surrounds Android app development, and gives you simple, step-by-step instructions to get you started. This book teaches Android application development in language anyone can understand, giving you the best possible start in Android development. It provides clean, straightforward examples that make learning easy, allowing you to pick up the concepts without fuss. It offers clear code descriptions and layout so that you can get your apps running as soon as possible Although this book covers what's new in Android 7, it is also backwards compatible to cover some of the previous Android releases. What You'll Learn Download, install, and configure the latest software needed for Android app development Work efficiently using an integrated development environment (IDE) Build useful, attractive applications and get them working immediately Create apps with ease using XML markup and drag-and-drop graphical layout editors Use new media and graphics to skin your app so that it has maximum appeal Create advanced apps combining XML, Java and new media content Who This Book Is For If you have a great idea for an Android app, but have never programmed before, then this book is for you. You don’t need to have any previous computer programming skills — as long as you have a desire to learn and you know which end of the mouse is which, the world of Android apps development awaits.


Understanding Machine Learning

Filename: understanding-machine-learning.pdf
ISBN: 9781107057135
Release Date: 2014-05-19
Number of pages: 409
Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press

Download and read online Understanding Machine Learning in PDF and EPUB Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.


MATLAB Deep Learning

Filename: matlab-deep-learning.pdf
ISBN: 9781484228456
Release Date: 2017-06-15
Number of pages: 151
Author: Phil Kim
Publisher: Apress

Download and read online MATLAB Deep Learning in PDF and EPUB Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.


Introduction to Machine Learning with Python

Filename: introduction-to-machine-learning-with-python.pdf
ISBN: 9781449369897
Release Date: 2016-09-26
Number of pages: 394
Author: Andreas C. Müller
Publisher: "O'Reilly Media, Inc."

Download and read online Introduction to Machine Learning with Python in PDF and EPUB Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills


Machine Learning

Filename: machine-learning.pdf
ISBN: 1420067192
Release Date: 2011-03-23
Number of pages: 406
Author: Stephen Marsland
Publisher: CRC Press

Download and read online Machine Learning in PDF and EPUB Traditional books on machine learning can be divided into two groups — those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text. Theory Backed up by Practical Examples The book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve. Highlights a Range of Disciplines and Applications Drawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge.


Fundamentals of Machine Learning for Predictive Data Analytics

Filename: fundamentals-of-machine-learning-for-predictive-data-analytics.pdf
ISBN: 9780262029445
Release Date: 2015-07-24
Number of pages: 624
Author: John D. Kelleher
Publisher: MIT Press

Download and read online Fundamentals of Machine Learning for Predictive Data Analytics in PDF and EPUB A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.


Machine Learning

Filename: machine-learning.pdf
ISBN: 9780262529518
Release Date: 2016-10-07
Number of pages: 224
Author: Ethem Alpaydin
Publisher: MIT Press

Download and read online Machine Learning in PDF and EPUB A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.


Using Microsoft Dynamics AX

Filename: using-microsoft-dynamics-ax.pdf
ISBN: 9783658136222
Release Date: 2016-07-28
Number of pages: 441
Author: Andreas Luszczak
Publisher: Springer

Download and read online Using Microsoft Dynamics AX in PDF and EPUB This book provides precise descriptions and instructions which enable users, students and consultants to understand Microsoft Dynamics AX rapidly. Microsoft offers Dynamics AX as its premium ERP solution, supporting large and mid-sized organizations with a complete business management solution which is easy to use. Going through a simple but comprehensive case study, this book provides the required knowledge to handle all basic business processes in Dynamics AX. Exercises are there to train the processes and functionality, also making this book a good choice for self-study.


Human and Machine Hearing

Filename: human-and-machine-hearing.pdf
ISBN: 9781107007536
Release Date: 2017-05-02
Number of pages: 598
Author: Richard F. Lyon
Publisher: Cambridge University Press

Download and read online Human and Machine Hearing in PDF and EPUB This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.


Machine Learning

Filename: machine-learning.pdf
ISBN: 9780262018029
Release Date: 2012-08-24
Number of pages: 1067
Author: Kevin P. Murphy
Publisher: MIT Press

Download and read online Machine Learning in PDF and EPUB A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.


Ophthalmology Clinics for Postgraduates

Filename: ophthalmology-clinics-for-postgraduates.pdf
ISBN: 9789386322890
Release Date: 2017-09-30
Number of pages: 496
Author: Prafulla Kumar Maharana
Publisher: JP Medical Ltd

Download and read online Ophthalmology Clinics for Postgraduates in PDF and EPUB This book is practical revision guide for trainees in ophthalmology to assist in preparation for examinations. Six sections are each dedicated to a specific part of the eye, providing both long and short cases, with emphasis on topics commonly asked in examinations. Cases describe basic techniques, investigation and treatment options, with in depth detail on differential diagnosis. The final section discusses instruments for ophthalmic surgery. The text explains the latest surgical and medical management techniques and is further enhanced by clinical photographs and tables to assist learning. Key points Practical revision guide for ophthalmology trainees preparing for examinations Presented as long and short cases with emphasis on topics commonly covered in exams Covers disorders in all sections of the eye Highly illustrated with clinical photographs and tables


Python for Kids

Filename: python-for-kids.pdf
ISBN: 9781593274078
Release Date: 2013
Number of pages: 344
Author: Jason R. Briggs
Publisher: No Starch Press

Download and read online Python for Kids in PDF and EPUB Introduces the basics of the Python programming language, covering how to use data structures, organize and reuse code, draw shapes and patterns with turtle, and create games and animations with tkinter.