jianf7flipped into 金融 Regression Models, It’s Not Only About Interpretation r-bloggers.com [This article was first published on Freakonometrics » R-english, and kindly contributed to R-bloggers]. (You can report issue about the content on …

jianf7flipped into 金融 Volatility Smiles using R. An example with UBS equity options. – Gabriel Foix gfoix.com First of all, for all those who are not familiar with this concept, the implicit volatility is the volatility that one can estimate assuming the …

Aatos Heikkinenflipped into Computational FinanceQuote Symbol http://programmingforfinance.com/2017/10/portfolio-optimization-with-r/ Aatos Heikkinen

Aatos Heikkinenflipped into Social Network Analysis Does sentiment analysis work? A tidy analysis of Yelp reviews varianceexplained.org - Does sentiment analysis work? A tidy analysis of Yelp reviews was published on July 21, 2016. This year Julia Silge and I released the tidytext package for text mining using tidy tools such as dplyr, tidyr, ggplot2 and broom. One of the …

Aatos Heikkinenflipped into Social Network Analysis Three hours of pure soccer emotion, visualized with R revolutionanalytics.com The biggest prize in UK soccer, the Premier League Championship, is decided by a points system. Unlike most sports competitions, there's no final …

Aatos Heikkinenflipped into Bayesian Statistics The Algorithms Behind Probabilistic Programming fastforwardlabs.com We recently introduced our report on probabilistic programming. The accompanying prototype allows you to explore the past and future of the New York …

Intuitive Linear Regression for Machine Learning - DZone Big Data dzone.com In this article, we will go through the intuition of linear regression and a straightforward implementation of the algorithm. This article is adapted …

Aatos Heikkinenflipped into Data Analytics for Business Icon version of the Flipboard logo Forecasting Time Series Data with R and Dataiku DSS — Dataiku Academy 6.0 documentation dataiku.com The R language has several great packages that are built specifically to handle time series data. Using these packages, you can perform time series …

Karin Bergerflipped into Artificial Intelligence (AI) & Intelligence Amplification (IA)Deep Learning Text Classification using Neural Networks Medium - gk_ Understanding is important. A fundamental piece of machinery inside a chat-bot is the text classifier. Let’s look at the inner workings of an …

Ann Bradleyflipped into Silicon Valley Sentiment Analysis with R ihub.co.ke What's Sentiment Analysis and why does it matter? Sentiment analysis or opinion mining is the computational study of opinions, sentiments and …

Aatos Heikkinenflipped into AI - Its History and Future R for Deep Learning (I): Build Fully Connected Neural Network from Scratch – ParallelR parallelr.com Deep Neural Network (DNN) has made a great progress in recent years in image recognition, natural language processing and automatic driving fields, …

Aatos Heikkinenflipped into Computational FinanceQuote Symbol http://fportman.com/blog/stock-market-predictions-with-artificial-neural-networks/ Aatos Heikkinen

vieriemilianiflipped into Algorithms A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning machinelearningmastery.com - Jason Brownlee Gradient boosting is one of the most powerful techniques for building predictive models.In this post you will discover the gradient boosting machine …

vieriemilianiflipped into Algorithms The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe MIT Technology Review - Emerging Technology from the arXiv Nobody understands why deep neural networks are so good at solving complex problems. Now physicists say the secret is buried in the laws of …

(redbulldog3)flipped into Investment Place Euclidean Technologies – Deep Learning And Long-Term Investing [Part 1] valuewalk.com - Guest Post Part 1: Deep Learning And Long-Term Investing by John Alberg and Michael Seckler – Euclidean Technologies Management Get the entire 10-part series on …

JB Martinflipped into People, Their Times & Trends Who’s Responsible for the Cubs’ Incredible Pitching Stats? fangraphs.com The Chicago Cubs are the unquestioned best team in baseball at the moment. There is no aspect of the game where the team struggles. They hit, hit for …

Aatos Heikkinenflipped into AI - Its History and Future The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe MIT Technology Review - Emerging Technology from the arXiv Nobody understands why deep neural networks are so good at solving complex problems. Now physicists say the secret is buried in the laws of …

vieriemilianiflipped into AlgorithmsAlgorithms Mathematical foundation for Noise, Bias and Variance in #NeuralNetworks Medium - Preetham V V Neural Nets are quite powerful models in machine learning which are used for learning the behavior of high dimensional data. Typically, data is not …

MPflipped into Finance, Economics & PolicyIcon version of the Flipboard logo Consumer heterogeneity and the gains from trade voxeu.org - Sergey Nigai From the standpoint of workhorse trade models featuring the assumption of a representative consumer, there is an uncomfortable degree of …

Aatos Heikkinenflipped into Insurance & Risk ModelingQuote Symbol http://www.risk.net/journal-of-risk-model-validation/journal/2469335/latest-issue-volume-10-number-3-september-2016 Aatos Heikkinen

nyemflipped into dataIcon version of the Flipboard logo What is the simulator? cornell.edu The simulator is an R package that makes it easier to write simulation studies. Code written with the simulator is succinct, highly readable, and …

Aatos Heikkinenflipped into SQL -Its history and futureIcon version of the Flipboard logo Lithium Redirect - Lithium Redirect teradata.com

Aatos Heikkinenflipped into Interactive Graphics Winning the Primary Election:With Data Visualization uxmag.com - Jim Dibble June 30, 2016Election season offers UX designers lessons and inspiration for helping users understand and explore data.In addition to following your …

Monchaiflipped into Technical Analysis Pruitt, The Ultimate Algorithmic Trading System Toolbox valuewalk.com The Ultimate Algorithmic Trading System Toolbox :Using Today’s Technology To Help You Become A Better Trader I am in the process of learning to code …

Aatos Heikkinenflipped into Functional RIcon version of the Flipboard logo Static and dynamic network visualization with R kateto.net - Katya Ognyanova The post Static and dynamic network visualization with R appeared first on Katya Ognyanova.

John Kellyflipped into Anal-yses Four key trends in the use of predictive analytics – Econsultancy econsultancy.com - By Nikki Gilliland Many marketers are cottoning on to the benefits of using predictive analytics. By using consumer data to understand, forecast and influence behaviour, …

Dr. Mike Maloneflipped into Data Analysis and Machine LearningIcon version of the Flipboard logo TagTeam :: Using Genetic Algorithms in Quantitative Trading - R-bloggers - Statistics and Visualization harvard.edu (This article was first published on The R Trader » R, and kindly contributed to R-bloggers) The question one should always asked him/herself when …

Aatos Heikkinenflipped into Computational FinanceQuote Symbol http://mechanicalforex.com/2016/03/using-r-in-trading-time-series-forecasting-using-chaos-part-3.html Aatos Heikkinen

Panggi Libersa Jasri Akadolflipped into Daily Artificial IntelligenceData Science Bayesian models in R (Code + examples) Medium - Dr. GP Pulipaka In statistics, making decisions always involves some amount of uncertainties. This could be due to the unknown parameters or quantities. For example …

fundrais123flipped into BankingQuote Symbol http://mechanicalforex.com/2015/01/determinism-and-entropy-choosing-what-to-trade.html fundrais123

Icon version of the Flipboard logo @江涛 @雪球工程师1号 @不明真相的群众 这是周五与望京88团队分享的那个成交量因子策略，当时出了点问题，回来发现择时... xueqiu.com 回测收益 回测年化收益 基准收益 基准年化收益 Alpha Beta Sharpe 最大回撤 9006.% 54.6% 232% 12.3% 0.4 0.27 2.5 14.9%