Enjoy a light hearted look at magic through this collection of whimsical magic-themed cartoons and short essays. The 100+ cartoons – called Magitoons – are the creation of writer Ellen Friedman and artist Jim Whiting, produced monthly for over ten years. Some Magitoons show magic from the point of view of the audience, others from the point of view of the magician. A few look at magic as the rabbit’s view from under the hat. What’s your view of magic?

A Rabbit Under the Hat

Comics & Graphic Novels

Whiting, Jim

Friedman, Ellen

Comic Strips

The Edition House

Everything You Need to Know to Treat Your Child's Ear Infection Every parent who has heard the plaintive cry "My ear hurts!" knows that ear infections are among the most troubling childhood ailments. In fact, by the time they turn three years old, 75 percent of children have had at least one ear infection, and nearly 50 percent of these children have suffered more than three ear infections. My Ear Hurts! offers clear explanations of the causes of ear infections and up-to-the-minute discussions of 
<ul>
<li>traditional medications, including the overuse of antibiotics</li> <li>surgical treatments, from insertion of ear tubes to new laser techniques</li> <li>alternative treatment options, such as herbal and homeopathic remedies and chiropractic treatment</li> </ul>
 Also included are <ul>
<li>tips on how to spot common allergies or irritants that couse or exacerbate infections</li> <li>advice on how to talk to your child about the infection and its treatment</li> <li>guidelines on what to do when your child is under somenone else's supervision</li> <li>recommendations for when surgery is -- and is not -- necessary and how to communicate with your child's doctor</li> </ul>
 With information that is both accessible and authoritative, My Ear Hurts! provides much-needed help and proven solutions to concerned parents and caregivers.

My Ear Hurts!: A Complete Guide to Understanding and Treating Your Child's Ear Infections

Barassi, James P

Health, Fitness & Dieting

Touchstone

The Seven, a Family Holocaust Story (Title Not in Series)

Most Polish Jews who survived the Second World War did not go to concentration camps, but were banished by Stalin to the remote prison settlements and Gulags of the Soviet Union. Less than ten percent of Polish Jews came out of the war alive-the largest population of Jews who endured-for whom Soviet exile was the main chance for survival. Ellen G. Friedman's The Seven, A Family Holocaust Story is an account of this displacement. 
Friedman always knew that she was born to Polish-Jewish parents on the run from Hitler, but her family did not describe themselves as Holocaust survivors since that label seemed only to apply only to those who came out of the concentration camps with numbers tattooed on their arms. The title of the book comes from the closeness that set seven individuals apart from the hundreds of thousands of other refugees in the Gulags of the USSR. The Seven-a name given to them by their fellow refugees-were Polish Jews from Warsaw, most of them related. The Seven, A Family Holocaust Story brings together the very different perspectives of the survivors and others who came to be linked to them, providing a glimpse into the repercussions of the Holocaust in one extended family who survived because they were loyal to one another, lucky, and endlessly enterprising. Interwoven into the survivors' accounts of their experiences before, during, and after the war are their own and the author's reflections on the themes of exile, memory, love, and resentment.
 Based on primary interviews and told in a blending of past and present experiences, Friedman gives a new voice to Holocaust memory-one that is sure to resonate with today's exiles and refugees. Those with an interest in World War II memoir and genocide studies will welcome this unique perspective.

Biographies & Memoirs

Arts & Literature

Wayne State University Press

Most Polish Jews who survived the Second World War did not go to concentration camps, but were banished by Stalin to the remote prison settlements and Gulags of the Soviet Union. Less than ten percent of Polish Jews came out of the war alive-the largest population of Jews who endured-for whom Soviet exile was the main chance for survival. Ellen G. Friedman's The Seven, A Family Holocaust Story is an account of this displacement. Friedman always knew that she was born to Polish-Jewish parents on the run from Hitler, but her family did not describe themselves as Holocaust survivors since that label seemed only to apply only to those who came out of the concentration camps with numbers tattooed on their arms. The title of the book comes from the closeness that set seven individuals apart from the hundreds of thousands of other refugees in the Gulags of the USSR. The Seven-a name given to them by their fellow refugees-were Polish Jews from Warsaw, most of them related. The Seven, A Family Holocaust Story brings together the very different perspectives of the survivors and others who came to be linked to them, providing a glimpse into the repercussions of the Holocaust in one extended family who survived because they were loyal to one another, lucky, and endlessly enterprising. Interwoven into the survivors' accounts of their experiences before, during, and after the war are their own and the author's reflections on the themes of exile, memory, love, and resentment. Based on primary interviews and told in a blending of past and present experiences, Friedman gives a new voice to Holocaust memory-one that is sure to resonate with today's exiles and refugees. Those with an interest in World War II memoir and genocide studies will welcome this unique perspective.

Joan Didion: Essays & Conversations (Ontario Review Press Critical Series)

History

Persea Books

Finding Data Anomalies You Didn't Know to Look For
Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.
From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project.
<ul>
<li>Use probabilistic models to predict what’s normal and contrast that to what you observe</li>
<li>Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm</li>
<li>Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model</li>
<li>Use historical data to discover anomalies in sporadic event streams, such as web traffic</li>
<li>Learn how to use deviations in expected behavior to trigger fraud alerts</li>
</ul>

Practical Machine Learning: A New Look at Anomaly Detection

Computers & Technology

Dunning, Ted

Programming

O'Reilly Media

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.
You’ll learn:
<ul>
<li>A variety of time series use cases</li>
<li>The advantages of NoSQL databases for large-scale time series data</li>
<li>NoSQL table design for high-performance time series databases</li>
<li>The benefits and limitations of OpenTSDB</li>
<li>How to access data in OpenTSDB using R, Go, and Ruby</li>
<li>How time series databases contribute to practical machine learning projects</li>
<li>How to handle the added complexity of geo-temporal data</li>
</ul>
For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.

Time Series Databases: New Ways to Store and Access Data

Databases & Big Data

Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.
Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You’ll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch. Powerful and effective, this efficient combination does learning offline and delivers rapid response recommendations in real time.
<ul>
<li>Understand the tradeoffs between simple and complex recommenders</li>
<li>Collect user data that tracks user actions—rather than their ratings</li>
<li>Predict what a user wants based on behavior by others, using Mahoutfor co-occurrence analysis</li>
<li>Use search technology to offer recommendations in real time, complete with item metadata</li>
<li>Watch the recommender in action with a music service example</li>
<li>Improve your recommender with dithering, multimodal recommendation, and other techniques</li>
</ul>

Practical Machine Learning: Innovations in Recommendation

Computer Science

If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues.You’ll learn about early decisions and pre-planning that can make the process easier and more productive. If you’re already using these technologies, you’ll discover ways to gain the full range of benefits possible with Hadoop. While you don’t need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects.Examine a day in the life of big data: India’s ambitious Aadhaar projectReview tools in the Hadoop ecosystem such as Apache’s Spark, Storm, and Drill to learn how they can help youPick up a collection of technical and strategic tips that have helped others succeed with HadoopLearn from several prototypical Hadoop use cases, based on how organizations have actually applied the technologyExplore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production

Real-World Hadoop

Networking & Cloud Computing

Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.
Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to:
<ul>
<li>Share original data in a controlled way so that different groups within your organization only see part of the whole. You’ll learn how to do this with the new open source SQL query engine Apache Drill.</li>
<li>Provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them.</li>
</ul>
If you’re intrigued by the synthetic data solution, explore the log-synth program that Ted Dunning developed as open source code (available on GitHub), along with how-to instructions and tips for best practice. You’ll also get a collection of use cases.
Providing lock-down security while safely sharing data is a significant challenge for a growing number of organizations. With this book, you’ll discover new options to share data safely without sacrificing security.

Sharing Big Data Safely: Managing Data Security

See the best price to sell, buy, or rent books by Friedman, Ellen. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Friedman, Ellen

See the best price to sell, buy, or rent books by Friedman, Ellen. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A Rabbit Under the Hat

My Ear Hurts!: A Complete Guide to Understanding and Treating Your Child's Ear Infections

The Seven, a Family Holocaust Story (Title Not in Series)

The Seven, a Family Holocaust Story (Title Not in Series)

Joan Didion: Essays & Conversations (Ontario Review Press Critical Series)

Practical Machine Learning: A New Look at Anomaly Detection

Time Series Databases: New Ways to Store and Access Data

Practical Machine Learning: Innovations in Recommendation

Real-World Hadoop

Sharing Big Data Safely: Managing Data Security