Her classic bestseller, Making the Most of Your Money, guided a generation toward smart and sensible financial choices. Here she strips away the extras, choosing the best financial ideas and products available today. They're all you need to create a successful and long-lasting financial plan. It's money management the No Worry way. To start with, she tells you to forget all the complicated stuff the financial industry sells. You don't need it, it costs too much, and some of it is downright bad. It's designed to make the banks, brokers, and insurance companies rich, not you. The best ideas (a super-short list!) are simple, low in cost, and easy to use. They're also sophisticated and smart. The strategies shown here are followed by some of the most successful planners and money managers around today, yet they're something everyone can understand. They'll give you what you need from your money -- regular savings, financial security, long-term investment growth, personal control, and best of all, peace of mind. Once you've set up a No Worry plan, you won't have to pay much attention to it. The choices you'll find here are all good ones. All you have to do is arrange for automatic payments and contributions and then get on with the rest of your busy life. You can focus your energies on your job, family, leisure, and friends, secure in the knowledge that your finances are okay. Here's what you'll do on the No Worry plan: Save more money without feeling pinchedGet rid of debt the automatic wayKeep yourself safe, with the right amount of insurance at the lowest costZero in on the right mortgage, every timePick the best college savings plan for your kidsUnderstand your finances, in ways you never did beforeFind the smartest and simplest ways of investing money, to earn superior returns over the long run The investment ideas alone will open your eyes to the newest strategies for accumulating wealth (without making big mistakes!). Jane Bryant Quinn will change the way you think about money. She has the answers busy people need.

    

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

    "Corporate Finance For Dummies" introduces you to the practices of determining an operating budget, calculating future cash flow, and scenario analysis in a friendly, un-intimidating way that makes comprehension easy."Corporate Finance For Dummies" covers everything you'll encounter in a course on corporate finance, including accounting statements, cash flow, raising and managing capital, choosing investments; managing risk; determining dividends; mergers and acquisitions; and valuation.Serves as an excellent resource to supplement coursework related to corporate financeGives you the tools and advice you need to understand corporate finance principles and strategiesProvides information on the risks and rewards associated with corporate finance and lendingWith easy-to-understand explanations and examples, "Corporate Finance For Dummies" is a helpful study guide to accompany your coursework, explaining the tough stuff in a way you can understand.

    It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.

    Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started.Use R's default graphics for quick exploration of dataCreate a variety of bar graphs, line graphs, and scatter plotsSummarize data distributions with histograms, density curves, box plots, and other examplesProvide annotations to help viewers interpret dataControl the overall appearance of graphicsRender data groups alongside each other for easy comparisonUse colors in plotsCreate network graphs, heat maps, and 3D scatter plotsStructure data for graphing

    The focus is on SQL-it covers all major SQL databases without getting lost in the details of any one specific product. Starting with the basics of indexing and the WHERE clause, SQL Performance Explained guides developers through all parts of an SQL statement and explains the pitfalls of object-relational mapping (ORM) tools like Hibernate. Topics covered include: Using multi-column indexes; Correctly applying SQL functions; Efficient use of LIKE queries; Optimizing join operations; Clustering data to improve performance; Pipelined execution of ORDER BY and GROUP BY; Getting the best performance for pagination queries; Understanding the scalability of databases. Its systematic structure makes SQL Performance Explained both a textbook and a reference manual that should be on every developer's bookshelf.

    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    This book is written in a simple manner for readers to understand the various terminologies and working process of the financial markets. If you are looking to understand and enter the stock markets but don't know from where to start, then this book is for you. The basic concepts are same for Indian and overseas markets so it will help you understanding both. It will help you as a reference guide for investing in stock markets. Specifically it will help you in:- 1. Know basic terms and conditions of the stock market. 2. Know products and services associated with the stock market. 3. Know how to kick start in stock markets. 4. know Do's and Don'ts in Stock Markets. 5. Selecting a broker. 6. How to make your first trade. 7. Additional mental mastering technique that will help you to achieve more on markets as well in life. 8. Insight of a trader/investor who has more than 10+ years of experience in stock markets. 9. Illustrated examples for more clarity on topics.

    As of January 14, 2016, this is an unverified document. NOTE: this document has been reformatted for the Kindle. It can be searched, bookmarked, annotated, etc. It is not a dump of the PDF.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.