Jay Jacobs在IT以及信息安全领域拥有超过15年的经验，主要致力于密码学、风险学以及数据分析方面的研究。作为Versizon RISK团队的一名高级数据分析师，他参与编纂年度《Data Breach Investigation Report》，并投入大量精力进行安全相关数据的分析与可视化。Jay也是Society of Information Risk Analysts的创立人之一，现在是该组织董事会的成员。他是一名活跃的博客纂稿人与演讲者，他还是Risk Science播客的主持人并且曾经是2014 Metricon安全指标/分析大会的联席主席。可以通过@jayjacobs在推特上找到他。他拥有美国康卡迪亚大学科技管理的学士学位以及美国宾夕法尼亚州立大学的应用统计学毕业证书。 Bob Rudis拥有超过20年的利用数据来帮助维护全球财富10...(展开全部)

This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.

This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.

First published in 1934, Security Analysis is one of the most influential financial books ever written. Selling more than one million copies through five editions, it has provided generations of investors with the timeless value investing philosophy and techniques of Benjamin Graham and David L. Dodd. As relevant today as when they first appeared nearly 75 years ago, the teachi...(展开全部)

This is the long-awaited reprint of Graham and Dodd's masterful first revision. The first edition of "Security Analysis", published in 1934, forever changed the theory and practice of successful investing. Yet the remainder of that tumultuous decade brought unprecedented upheaval to the financial world, compelling Benjamin Graham and David Dodd to produce a comprehensively revi...(展开全部)

This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations.

If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descript...(展开全部)

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's desc...(展开全部)