摘要： LAST WEEK, BEN Goertzel and his company, Aidyia, turned on a hedge fund that makes all stock trades using artificial intelligence—no human intervention required. "If we all die," says Goertzel, a longtime AI guru and the company's chief scientist, "it would keep trading."
摘要： Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chat bots, or search engines. Given high volume, accurate historical records, and quantitative nature of the finance world, few industries are better suited for artificial intelligence. There are more uses cases of machine learning in finance than ever before, a trend perpetuated by more accessible computing power and more accessible machine learning tools (such as Google’s Tensorflow).
摘要： Central banks are alert to the challenge of cryptocurrencies, and are contemplating reactions ranging from prohibiting private issuance to embracing such currencies. This column argues that the risks of introducing a central bank digital currency are high while the efficiency gains do not seem large. A more efficient system can be achieved via innovation in current payment infrastructure.
摘要： by Joseph Rickert.I was surprised by greta. I had assumed that the tensorflow and reticulate packages would eventually enable R developers to look beyond deep learning applications and exploit the TensorFlow platform to create all manner of production-grade statistical applications. But I wasn’t thinking Bayesian. After all, Stan is probably everything a Bayesian modeler could want. Stan is a powerful, production-level probability distribution modeling engine with a slick R interface, deep documentation, and a dedicated development team.
摘要： "The Commission should not stand in the way of such ETPs coming to market" given Cboe's arguments for addressing the SEC's concerns, the derivatives exchange said Friday in a letter to the SEC, published online Monday. The letter from Cboe President and COO Chris Concannon was addressed to the director of the SEC's division of investment management, Dalia Blass, in response to her letter in January that pushed back on applications for bitcoin-related ETFs. Separately, the commission said Friday it would begin the process of determining whether it will allow NYSE Arca to list two ProShares funds tracking bitcoin futures.
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.
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.