Cathy O’Neill – författare

The no-holds-barred truth about what having a baby can do to your marriage – and what you can do about it.In the months after a first child is born, all hell breaks loose. A crying newborn can reduce a grown man to tears, turn a sane woman into a bottle-wielding shrew, and otherwise test the strongest of marriages. It sometimes seems that a baby's mission is to destroy everything it comes in contact with: your furniture, your clothes, your car…and your marriage.This funny, compassionate, opinionated guide addresses how the early parenting years impact marriage, using real-life stories from both men and women to tell the whole truth. It discusses in detail couples' frustrations over the division of labour, changing roles and expectations, sex (or lack thereof), and dealing with parents and in-laws. With real quotes from real people, and the authors own combined experiences, it offers a positive, humorous and solution-oriented approach. Addresses the impact of parenthood on marriage, detailing the insights of and lessons learned by both men and women.Provides common sense, tried-and-tested strategies to address the negative impact young children can have on a relationship.Helps you understand why this challenge occurs, exploring both the male and female perspective, and how you can address it.Written by three feisty women, who have been there and can vouch for the fact that complaining gets you nowhere, Baby-proofing your Marriage answers those nagging doubts in the back of the married person's mind: 'Are we the only ones bartering over who will do what and arguing about who has more free time?' And offers you easy, realistic solutions to keep you sane and your relationship healthy.

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This insightful book, based on Columbia University's Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you're familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O'Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.