摘要：
Goldman Sachs' bull/bear indicator is sitting above 70 percent.That level is "normally associated with high risks for equity investors," Goldman strategists say.
However, the strategists are telling investors not to worry. They note that the indicator's high level is mainly due to the low unemployment rate and strong economic growth momentum rather than rising rates or strong core inflation.
"It is because of the lack of inflation that some of these variables can appear stretched without ringing alarm bells for equity investors," the Goldman note said.
摘要：
Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics professionals know only 2-3 types of regression which are commonly used in real world. They are linear and logistic regression. But the fact is there are more than 10 types of regression algorithms designed for various types of analysis. Each type has its own significance. Every analyst must know which form of regression to use depending on type of data and distribution.
摘要： A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories.
摘要： After decades stuck in research labs, artificial intelligence (AI) is ready for prime-time, transforming if not disrupting all the sectors of the economy that generate lots of data (big data), from tech to finance, communications, energy, healthcare, mobility or manufacturing.
摘要： "Clients may choose to conduct business with other market participants who engage in business or offer products in areas we deem speculative or risky, such as cryptocurrencies" Bank of America said in a regulatory filing.
摘要：
The following blog article is based on the opening statements delivered by Chiara Perillo at the panel discussion on “New Conditions for Monetary and Fiscal Policy” with Martin F. Hellwig, Edward C. Prescott, Peter A. Diamond, Christopher A. Sims, 6th Lindau Nobel Laureate Meeting on Economic Sciences, Lindau, August 2017.
