Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, you’ll get material from Columbia University’s "Introduction to Data Science" class in an easy-to-follow format. Each chapter-long lec...(展开全部)

Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, you’ll get material from Columbia University’s "Introduction to Data Science" class in an easy-to-follow format. Each chapter-long lec...(展开全部)

Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search.Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently.

They called him Neutron Jack. They called him the world's toughest boss. And then Fortune called him "The Manager of the Century." In his twenty-year career at the helm of General Electric, Jack Welch defied conventional wisdom and turned an aging behemoth of a corporation into a lean, mean engine of growth and corporate innovation. In this remarkable autobiography-a classic bu...(展开全部)

Nearly 20 years ago, former General Electric CEO Reg Jones walked into Jack Welchs office and wrapped him in a bear hug. Congratulations, Mr. Chairman, said Reg. It was a defining moment for North American business. So begins the story of a self-made man and a self-described rebel who thrived in one of the most volatile and economically robust eras in U.S. history, while managi...(展开全部)

They called him Neutron Jack. They called him the world's toughest boss. And then Fortune called him "The Manager of the Century." In his twenty-year career at the helm of General Electric, Jack Welch defied conventional wisdom and turned an aging behemoth of a corporation into a lean, mean engine of growth and corporate innovation. In this remarkable autobiography-a classic bu...(展开全部)

The Data Science Handbook contains candid interviews with 25 of the world’s best data scientists. We sat down with them, had in-depth conversations about their careers, personal stories, perspectives on data science and life advice. In The Data Science Handbook, you will find war stories from DJ Patil, US Chief Data Officer and one of the founders of the field. You’ll learn ind...(展开全部)

The Data Science Handbook contains candid interviews with 25 of the world’s best data scientists. We sat down with them, had in-depth conversations about their careers, personal stories, perspectives on data science and life advice. In The Data Science Handbook, you will find war stories from DJ Patil, US Chief Data Officer and one of the founders of the field. You’ll learn ind...(展开全部)

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step by step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. ...(展开全部)