10 Must-Read Data Science Articles from September 2017


数据科学 industry is quickly finding applications in a variety of disciplines ranging from 生物技术社会科学. It’s revolutionized the way we make decisions both as businesses and researchers. Data science is currently the ‘best job in America’, according to Glassdoor. The amount of data that we collect is mind-boggling, not only through traditional ways but also through digital platforms and social media. 数据分析, visualization and interpretation are skills that are in high demand — and experts often specialize in specific disciplines such as computer science or even 天体物理学. At Kolabtree, we’ve helped project owners find highly qualified freelance 数据科学专家 to help them analyze a dataset or write an algorithm — and this is proof that organizations suffer from a skills or resource gap in this field.

Data scientists need to keep themselves updated on the latest research and developments in the field to stay on top of their game. Here is a curated list of the top 10 articles from September 2017 that we think is necessary reading.

1. Here are the 10 skills you need to become a data scientist, the no. 1 job in America
(Alison DeNisco, TechRepublic)

2. The Abyss of Analytics 
(Jon Evans, TechCrunch)

3. New Tool Uses Machine Learning And Artificial Intelligence To Improve IT Operations
(Bernard Marr, Forbes)

4. Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
(Vincent Granville, Data Science Central)

5. A Wikipedia For Data Visualizations Is Here
(Katharine Schwab,  Co.Design)

6. If you want to upgrade your data analysis skills, which programming language should you learn? [R vs Python] (Dan Kopf, Quartz)

7. 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets
(Matthew Mayo, KDNuggets)

8. The A.I. “Gaydar” Study and the Real Dangers of Big Data
(Alan Burdick, The New Yorker)

9. Securing Competitive Advantage with Machine Learning
(Ronald van Loon, Dataconomy)

10. Raiders of the storm: The data science behind weather prediction
(George Anadiotis, ZDNet)

Have any more articles to add to the list? Leave them in the comments below or 发微博给我们!




Ramya Sriram在全球最大的科学家自由职业平台Kolabtree(kolabtree.com)管理数字内容和通信。她在出版、广告和数字内容创作方面有十多年的经验。