Who Knew? 10,001 Household Solutions
Title | Who Knew? 10,001 Household Solutions PDF eBook |
Author | Bruce Lubin |
Publisher | Castle Point Books |
Pages | 401 |
Release | 2018-08-14 |
Genre | Cooking |
ISBN | 1250108853 |
"Money-saving tips, DIY cleaners, kitchen secrets, and other easy answers to everyday problems"--Cover.
Who Knew?
Title | Who Knew? PDF eBook |
Author | Bruce Lubin |
Publisher | |
Pages | 383 |
Release | 2012-12-01 |
Genre | Consumer education |
ISBN | 9780988295520 |
If you want to save time, money, get free stuff, save up to 50% on groceries, and more, then you need the Who Knew? Book!
Who Knew? 10,001 Household Solutions
Title | Who Knew? 10,001 Household Solutions PDF eBook |
Author | Bruce Lubin |
Publisher | Macmillan + ORM |
Pages | 697 |
Release | 2018-08-14 |
Genre | House & Home |
ISBN | 1250166640 |
A big new book on household solutions from the 5-million-copy-selling Who Knew? brand! Whether you’re cleaning house, cooking a meal, improving your appearance, or fighting a cold, this indispensable guide will help you with natural and simple solutions to your daily tasks requiring only basic—and inexpensive—items with multiple uses that you should always keep on hand in your home. Vinegar, baking soda, lemons, duct tape, and beer are just a few of the all-purpose tools you need to eliminate odors, keep your food fresher longer, get rid of pests, increase storage space, de-stress, give yourself a spa treatment, and so much more. With easy-to-follow instructions, you’ll discover clever and creative ways to give your home—and yourself—a makeover while saving time and money.
Porch Living
Title | Porch Living PDF eBook |
Author | James T. Farmer |
Publisher | Gibbs Smith |
Pages | 147 |
Release | 2012-04 |
Genre | Architecture |
ISBN | 142362534X |
Full-color illustrations accompany decorating tips for porches.
1001 Questions to Ask Before You Get Married
Title | 1001 Questions to Ask Before You Get Married PDF eBook |
Author | Monica Mendez Leahy |
Publisher | McGraw Hill Professional |
Pages | 288 |
Release | 2004-04-27 |
Genre | Family & Relationships |
ISBN | 0071636838 |
The relationship expert from the Ladies' Home Journal, the Wall Street Journal, and Lifetime Television shows how to prevent marriage problems before they start There's nothing wrong with starter jobs and starter homes, but starter marriages? Relationship expert Monica Mendez Leahy is on a mission to help readers make their marriage last. Her 1,001 Questions to Ask Before You Get Married offers a reality check for couples on the marriage path, helping them realize how much they have yet to discover about their partner's nature, thought processes, lifestyle, and marital expectations. Engaged couples learn to discuss issues deeper than "chicken or fish" and to broach subjects that are often ignored before the nuptials yet essential for the foundation of an intimate, long-lasting relationship. Posed in a variety of fun formats, including multiple choice, fill-in-the-blank, and hypotheticals, these questions include topics such as: "Does your partner feel that you're too attached to your parents?" "Is there such a thing as innocent flirting?" "Is it OK to cheat on your taxes?" And more
The Little Book of Life Skills
Title | The Little Book of Life Skills PDF eBook |
Author | Erin Zammett Ruddy |
Publisher | Balance |
Pages | 279 |
Release | 2020-09-15 |
Genre | House & Home |
ISBN | 1538751690 |
With tips from leading experts in every field, The Little Book of Life Skills is the practical guide on how to solve the trickiest tasks in your day and make life a little easier. We all have areas of our lives that make us feel disorganized, unprepared, or stressed out. From creating a calmer morning routine to setting yourself up for a good night's sleep, and everything in between, there are easy and proven ways to do things better. Whether you need advice on how to end an argument, iron a shirt, or keep your inbox under control, Erin Zammett Ruddy has spoken to experts including Rachael Ray, Dr. Oz, Arianna Huffington, and condensed their wisdom into easy to follow steps for all of life's simple and not-so-simple tasks, such as: Working from Home Effectively Keeping a Houseplant Alive Giving Constructive Feedback Arranging the Perfect Cheese Board, and many more The Little Book of Life Skills offers simple strategies for being better grown-ups. It's the perfect guide for anybody who wants to get organized, be more efficient throughout the day, and finally learn the best way to fold that #$% fitted sheet.
Information Theory, Inference and Learning Algorithms
Title | Information Theory, Inference and Learning Algorithms PDF eBook |
Author | David J. C. MacKay |
Publisher | Cambridge University Press |
Pages | 694 |
Release | 2003-09-25 |
Genre | Computers |
ISBN | 9780521642989 |
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art 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, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.