Seamlessly Share Coding Demos to Colleagues Using Binder
A seamless way to share Jupyter notebooks in the cloud. Have a Jupyter notebook to share? Share it with Binder! Photo by Savannah Wakefield on Unsplash A colleague recently asked … Read more
Month: February 2022
Elasticsearch Workshop #6 — Scripting Part 4
In this workshop, I will show you some practical examples of regexes and different ways to use them. The official documentation has a few examples, but I think there is … Read more
McNemar’s Test, with Python
B. McNemar’s Test on matched pair case-control data An experiement is conducted to compare the effectiveness of 2 asthma treatments in eliminating emergency room visits. 200 pairs of asthma patients … Read more
Reservoir Sampling for Efficient Stream Processing
Learn how you can use different randomized sampling techniques for ingesting data streams. Photo by Jonathan Greenaway on Unsplash IoT devices produce constant data streams of measurements and logs, which … Read more
Cross-Validate on Data Containing Groups, Correctly!!
Data Splitting and Cross Validation You may be thinking — why do we need to split our data for training a model? Why can’t we just use all the data … Read more
Complete Step-by-step Genetic Algorithm from Scratch for Global Optimization
Deep Dives No need to worry about getting stuck in local minima anymore Photo by Braňo on Unsplash Table of Contents🌎 What is Global Optimization?🧾 Problem Statement🔢 Encoding and Decoding … Read more
Overview on apply, map, applymap, iterrows & itertuples
Use case #3 For the third and last example, we’ll create a new name column with the title followed by the owner’s name. The title we could infer from the … Read more
Eswatini R Users Group Forging Ahead Despite Pandemic Hurdles
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
Working in CRAN’s World
[This article was first published on R – Win Vector LLC, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share … Read more
Amazon CloudWatch Container Insights adds support for Helm chart using AWS Distro for OpenTelemetry
With this launch, you can use Helm chart to collect Amazon EKS on EC2 metrics and logs to send to Amazon CloudWatch Container Insights. The Helm chart deploys the ADOT Collector … Read more
A probabilistic approach to guess my phone battery level.
Some phone battery levels are more recurrent than others. This led me to think more than once if there would be a way to model this frequency appearance. Photo by … Read more
Cloud CISO Perspectives: February 2022Cloud CISO Perspectives: February 2022VP/CISO, Google Cloud
As the war in Ukraine continues to unfold, I want to update you on how we’re supporting our customers and partners during this time. Google is taking a number of … Read more
Beyond Graph Neural Networks with PyNeuraLogic
Differentiable logic programming in Python for elegant encoding and extending of GNNs towards more complex deep relational models PyNeuraLogic lets you use Python to write differentiable logic programs, encoding, e.g., … Read more
Portable, Reproducible R Content — YakData SmartDesktop with RStudio Desktop
[This article was first published on R – YakData, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
Searching for Soccer Scenes using Siamese Neural Networks
We have access to a large soccer database, containing a seasons worth of tracking-data, i.e. player trajectories, game statistics and expert-annotated events like pass or shot at goal from the … Read more
A Deep Dive into Stacking Ensemble Machine Learning — Part II
How to use stacking effectively in machine learning by implementing a stacking classifier in Python, Jupyter and Scikit-Learn Photo by Tim Wildsmith on Unsplash Background In my recent article on … Read more
Time Series Forecast in R
As a first step, we import the libraries we need for our Time Series Forecast and read the data… here’s how the ‘head’ and ‘tail’ of our Fish Sales Dataset … Read more
Graph Neural Networks: a learning journey since 2008 — Graph Attention Networks
Today we’ll dive into the theory and implementation of the Graph Attention Network (GAT). In a nutshell: attention rocks, graphs rock, GAT’s authors rock! Image by Pascale Amez on Unsplash … Read more
An Overview of Visual Techniques for Exploratory Data Analysis in Python
Exploratory Data Analysis A tutorial on how to plot the most common graphs for Visual EDA in seaborn and matplotlib Photo by Firmbee.com on Unsplash Before we can carry out … Read more
A Low Down on Machine Learning
I won’t be delving too deeply into reinforcement learning (RL) as it’s not as frequently used in business. It has, however, made so much waves in the public consciousness that … Read more
Optimizing Memory Usage in Python Applications
Find out why your Python apps are using too much memory and reduce their RAM usage with these simple tricks and efficient data structures Photo by The Bored Apeventurer BAYC … Read more
Meta-Learning: Boosting and Bagging for Time Series Forecasting
[This article was first published on DataGeeek, 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
Build a Django CRUD App by Using Class-Based Views
Yes, it is that easy and fast with Django Photo by Daniel Korpai on Unsplash INTRODUCTION In this tutorial, I will show you how to build a totally functional CRUD … Read more
Data Science training — run them effectively!
A few leads and watch-outs as you prepare to train other professions and contribute to their learning in the complex world of data science Photo by Campaign Creators on Unsplash … Read more
Hidden Markov Models Simply Explained
In a regular Markov Chain we are able to see the states and their associated transition probabilities. However, in a Hidden Markov Model (HMM), the Markov Chain is hidden but … Read more
January 2022: “Top 40” New CRAN Packages
[This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
Hyperbolic gircope – using ‘cxhull’ and ‘gyro’
This post is a demonstration of the cxhull and gyro packages. I will use these packages (and others) to draw an hyperbolic version of the stereographic projection of a convex … Read more
New Azure for Operators solutions and services built for the future of telecommunications
After years of laying the foundation for the rollout of 5G and network cloudification, we are now seeing tremendous possibilities for how consumers and organizations will interact with technology for … Read more
How to ace Technical Interviews(Excel) for Business Intelligence Engineer/Data Analyst at FAANG
2. DATEDIF For some reason, DATEDIF is not a listed function in Excel. What I mean by listed is that you will not get any suggestions when you type it. … Read more
Dead Reckoning is Still Alive!
An intro to dead-reckoning approach, using the Strap-down Inertial Navigation System with an Autonomous Vehicle focus. Many drivers are highly curious today about the Autonomous Vehicles (AV) dream. Will this … Read more
Mitigating DDoS attacks with Classification Models
Using Dask, XGBoost, and Stacked Ensembling to defend against a ubiquitous form of cyberattack Photo by Kvistholt Photography on Unsplash GitHub Repo Presentation PDF Module #4 of Metis’ Data Science … Read more
Experimenting with multi-level and hierarchical splines in PyMC
[This article was first published on Posts | Joshua Cook, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
Regime Switching State Space Model with R code
#========================================================# # Quantitative ALM, Financial Econometrics & Derivatives # ML/DL using R, Python, Tensorflow by Sang-Heon Lee # # https://kiandlee.blogspot.com #——————————————————–# # Lam’s generalized Hamilton model in Kim (1994) #========================================================# graphics.off() # clear all graphs rm(list = ls()) # remove all files from your workspace #======================================= # Functions #======================================= # parameter constraints trans – function(b0){ b1 – b0 # probability b1[1:2] – exp(b0[1:2])/(1+exp(b0[1:2])) # variance b1[5] – b0[5]^2 # AR(1), AR(2) coefficients XX6 – b0[6]/(1+abs(b0[6])) XX7 – b0[7]/(1+abs(b0[7])) b1[6] – XX6 + XX7 b1[7] – –1*XX6*XX7 return(b1) … Read more
A Few Reasons To Grid And Resample Your Geospatial Data
A quick 5 min Python tutorial presented with a realistic environmental application Image by author One of the biggest problems with preferentially sampled geospatial data is the differing area or … Read more
Probability for Data Scientists: The Capable Chi-Squared Distribution
The purpose of this article is to introduce the chi-squared probability distribution. In generating a series of articles on probability, I aim to describe each distribution in an intuitive, concise, … Read more
Represent United Kingdom’s public record as a knowledge graph
Utilize UK Gazette API capabilities to construct a knowledge graph and analyze it in Neo4j I love constructing knowledge graphs from various sources. I’ve wanted to create a government knowledge … Read more
Level Up with Python: Quickly Produce PDFs with Stunning Visuals
Data Visualization Produce Brochures/Emails/Flyers for Business Distribution with Matplotlib One of the most frequently overlooked tasks is effective communication of information. You may create the most beautiful dashboard anyone has … Read more
“Raise” is the Best Starting Word for Wordle
Word Data Science Based on Minimum Path to Solution I don’t play Wordle regularly, but I am interested behind the science of getting to the right answer. With six guesses, … Read more
Train your Model Overnight on Remote Terminal with Linux Screen
Simple Linux Commands to continue with deep learning training in the background Image by Huper on Unsplash In this tutorial, I will introduce a hack to model training on Linux … Read more
Use simulations to optimize customer wait time, systems load, and cost
Let’s say your infrastructure is a fleet of M identical machines, each processing a single task at a time. Each new customer is placed in a queue waiting for a … Read more
Everything You Need to Know About Ranking with Pandas
In some cases, we create a rank based on multiple columns. For instance, in our DataFrame, we may want to use the values in the overall and current columns together … Read more
Apply Thousand Separator (and Other Formatting) to Pandas Dataframe
Let’s start with the ‘Median Sales Price’ column and see how we can format it by adding the thousand comma separators and a dollar sign in the front. Below is … Read more
Create a hyper-marketing model using Naïve Bayes
[This article was first published on R-posts.com, 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
NAs introduced by coercion
The post NAs introduced by coercion appeared first on finnstats. If you want to read the original article, click here NAs introduced by coercion. Are you looking for the latest … Read more
Job Scheduling with Apache AirFlow 2.0 in 10 Minutes
Apache Airflow is workflow management system which defines task and their dependencies as code and executes tasks on regular schedule. It offers a web UI that displays state of currently … Read more
Forecasting My Future Grocery Bills
The analysis I am conducting will forecast what I should expect to pay for groceries for the next 4 months (the full code can be found here). Obviously, this is … Read more
R Programming For Data Science
The post R Programming For Data Science appeared first on finnstats. If you want to read the original article, click here R Programming For Data Science. Are you looking for … Read more
5 Simple Techniques to Write Your Code More Efficiently in Python
When writing code, try to eliminate any unessential operations. For example, if you are looping through a list of items and only need the first item, don’t bother looping through … Read more
Evaluating the Kruve EQ Cup for Espresso
Coffee Data Science A data-driven, subjective taste review When Kruve first came out with EQ espresso cups, I resisted. While the idea of a cup improving taste sounded reasonable, I … Read more
Advanced Tips on How to Read CSV Files into Pandas
The Pandas function read_csv() is not stupid. Whenever an entry in a CSV file has values NULL, NaN, or n/a, then read_csv() will interpret the value as missing. There is … Read more