Snowflake for data scientists Data scientists often use SQL to interact with a data warehouse, but then often rely on Python for data discovery, visualization, and modeling. How great would … Read more
How I made a big jump with minimum effort in the Kaggle Titanic challenge leaderboard using micro-outlier removal Photo by Will Myers on Unsplash I experienced something amazing. I climbed … Read more
Avoid unnecessary regressions and matrix inversions by directly estimating the Dickey-Fuller test statistic through the correlation coefficient. Image by author. The Dickey-Fuller test is perhaps the most well-known among stationarity … Read more
The next step toward participating in IBM’s Quantum Open Science Prize Today, we’re implementing a quantum measurement error mitigation method with Qiskit. We do this to participate in IBM’s second … Read more
What Tools And Data Sets To Use Photo by Sigmund on Unsplash Many programmers who are just starting out struggle with starting new data engineering projects. In our recent poll … Read more
A Healthcare Domain-Specific NER Method with spaCy photo by author As described in my previous article [1], Natural Language Processing (NLP) becomes a hot topic in both AI research and … Read more
Avoid the most dangerous pitfall of histograms Photo by Scott Webb Binning Bias, The Biggest Flaw of Histograms Histograms are probably the first plot you might have used as you … Read more
Showcasing different ways for eliminating punctuation from pandas DataFrame columns Photo by Alejandro Barba on Unsplash Introduction When working with textual data, we may sometimes need to perform some cleansing … Read more
Make your Machine Learning App accessible to the world without the headache! Photo by SpaceX on Unsplash In addition to developing Machine Learning models, being able to make them accessible … Read more
Personal Opinion A realistic and symbiotic future between humans and AI New York City Lights. Image by author The Enlightenment Ride to the Top The Age of Enlightenment took place … Read more
Image by Steve Buissinne from Pixabay A bi-directional dictionary in Python, perfect patch to Python data structure As one of the most common data structures, the dictionary is used very … Read more
AWS App Runner now supports streaming all request traces of applications running on App Runner to AWS X-Ray. App Runner makes it easy for developers to quickly deploy containerized web … Read more
A step-by-step guide to analyzing all those Wordle results you’ve shared with friends. Since Wordle took off in my friend group, we’re guaranteed thirteen messages a day: a “Good morning, … Read more
#========================================================# # Quantitative ALM, Financial Econometrics & Derivatives # ML/DL using R, Python, Tensorflow by Sang-Heon Lee # # https://kiandlee.blogspot.com #——————————————————–# # Nelson-Siegel fitted yield curve using rjags #========================================================# graphics.off() # clear all graphs rm(list = ls()) # remove all files from your workspace library(rjags) library(coda) # Prepare data mat – c(3, 6, 9, 12, 24, 36, 48, 60, 72, 84, 96, 108, 120, 144, 180, 240) yield – c(5.638781, 5.857775, 6.062339, 6.232739, 6.533613, 6.586592, 6.604274, 6.672092, 6.643833, 6.636791, 6.621937, 6.608467, 6.608286, 6.631803, 6.640675, 6.569184) vnm – c(“beta0”,“beta1”,“beta2”,“la”,“sigma”) Data – list(x = mat, y = yield) # for use inside model Data$y_short – yield[1] Data$y_long – yield[16] Data$y_mid – yield[6] # Model string jags.script – “ model{ # priors beta0 ~ dnorm(y_long,0.01) … Read more
[This article was first published on Sport Data Science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
Opinion Very few data engineering degree programs exist, perpetuating a vicious cycle of un-credentialed and “unqualified” candidates. As the data industry booms, we are in the middle of a widely … Read more
We can use machine learning to return meaningful similar images, text, or audio in the proper context. Simple, and fast. Imagine the programmatic effort needed to implement an algorithm to … Read more
An overview of the many new updates coming to Google Cloud Platform Photo by Campaign Creators on Unsplash “Data is limitless” was the phrase that kicked off Google’s 2022 cloud … Read more
Opportunities, barriers, and steps forward Tianjin Binhai Library, Tianjin China. Image by the author. Knowledge workers use domain or content expertise to generate value by solving problems and making critical … Read more
To better understand ideas solving some problems of Machine Learning Photo by Jason Dent on Unsplash Machine Learning, while being a very powerful technology, appears to know some drawbacks. For … Read more
Fig. 1 — Photo by Gokhan Polat on Unsplash Extending AI & ML in the industry For a few years, we’ve been hearing a lot about Artificial Intelligence (AI) and … Read more
[This article was first published on R – JAGS News, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
Training, validation and test sets explained in plain English Photo by Shumilov Ludmila on Unsplash You may already be familiar with training and test sets. When training ML and DL … Read more
How to translate a set of prose, and/or XML pages using a number of language-translation APIs. Photo by veeterzy on Unsplash Often we are faced with a problem where either … Read more
With an actual application in data science and logistic regression Doggo looking for roots In data science, you will find that many of our tasks include maximising or minimising a … Read more
A preview of Linear Programming’s capabilities to solve some business problems Photo by Pop & Zebra on Unsplash Businesses (should) spend a lot of time and effort trying to predict … Read more
Outlier detection is crucial—especially for data quality assessment Free for Use photo from Pexels Outlier Detection is crucial in many different ways. If a company wants to understand anomalous / … Read more
This blog post is co-authored by David Stein, Senior Staff Software Engineer, Jinghui Mo, Staff Software Engineer, and Hangfei Lin, Staff Software Engineer, all from Feathr team. Feature store motivation … Read more
Hardcoded configurations are a terrible idea. Consider this alternative instead Photo by AltumCode on Unsplash Searching and replacing values in hundreds of Python files is even less fun than you … Read more
[This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
[This article was first published on r-spatial, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more
[This article was first published on r-spatial, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more
The tutorial is based on R and StatsNotebook, a graphical interface for R. Randomised controlled trials (RCTs) are the gold standard for causal inference. In RCTs, randomisation removes all confoundings … Read more
Photo by Андрей Сизов on Unsplash In this blog post we explore an application of blackbox differentiation to the setting of imitation learning, which leads to considerable improvements in comparison … Read more
Predicting the chance of extreme values in time series using Python Photo by Jean-Daniel Calame on Unsplash Exceedance probability forecasting is the problem of estimating the probability that a time … Read more
PYTHON These are some of the best Python libraries that you should know and try Photo by Andrea Piacquadio from Pexels Data Science is changing faster than ever, and in … Read more
A more sophisticated configuration for your Metricset Photo by Joshua Sortino on Unsplash Welcome to the third part of the Beats workshop. You can find the first workshop here. As … Read more
Today we are announcing support for tagging of Amazon Personalize resources to help simplify organization and cost management of resources. Amazon Personalize enables developers to improve customer engagement through personalized … Read more
Discover 6 great python libraries that you can start using today with well log data Photo by Hitesh Choudhary on Unsplash One of the great things about Python is the … Read more
A more customized approach to event analytics beyond Firebase and Google Analytics Photo by ROBIN WORRALL on Unsplash If you are operating an Android app business or are working as … Read more
How to Create a Beautiful Butterfly Chart with Two Easy Steps Using Plotly Image by Pixabay A butterfly chart (also called a tornado chart or bi-directional chart), is a type … Read more
What are tuples, tuple implementation, datatypes, indexing, immutability, and extended functionality Photo by Paico Oficial on Unsplash What are Tuples? Tuples are a data structure that is similar to that … Read more
Image by author: Two instances of the motor data Time series classification is a general problem that can be seen in many domains and contexts, e.g. for given time series … Read more
Understand and improve your return-on-time-invested Photo by Icons8 Team on Unsplash I wish my life and decisions to depend on myself, not on external forces of whatever kind — Isaiah … Read more
[This article was first published on R – Open Forecasting, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
Continuous cost optimization can take place at all stages of an Azure workload’s lifecycle, but your Azure subscription provides a very effective benefit to further optimize your investment when you … Read more
Background, needs, challenges, and outlook Photo by Possessed Photography on Unsplash Proving its success in gaming, commercial ML, and robotics, RL has morphed into the Swiss army knife of AI. … Read more
An end-to-end approach on how to keep track of your data — less than 5 minutes! Photo by Fabio on Unsplash Software Engineers mainly use Git because it is a … Read more
Opinion DeepMind has found the secret to cheaply scale large language models. Photo by ArtHead on Shutterstock DeepMind’s latest paper dismantles the tired trend of building larger and larger models … Read more
Getting Started with our Pipeline — Data Acquisition and Storage. Photo by Hunter Harritt on Unsplash 1. Introduction In this series of articles I’m interested in trying to put together … Read more