Publications by tomaztsql
T-SQL Tuesday #162 Invitation – Data Science in the time of ChatGPT
This is a great opportunity and I am honoured to be hosting this months T-SQL Tuesday blogging invitation. With the invitation of Steve, we have agreed to post topic on Data science. I will be receiving all of your answers on blog posts and twitter (make sure to add #tsql2sday). Data Science in the time of Chat GPT Instead of writing and asking Da...
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Little useless-useful R functions – Transforming dataframe to markdown table
Writing markdown documents outside RStudio (using the usual set of packages) has benefits and struggles. Huge struggle is transforming dataframe results into markdown table, using hypens and pipes. Ugghhh… This useless functions takes R dataframe as input and prints out dataframe wrapped in markdown table. iris[1:3,1:5] # Result: #> Sepal.Length ...
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Little useless-useful R functions – Using xspline to create wacky signatures
Nothing short of wacky usage of plot() function with xspline to interpolate the points, but still a “parameter” short of Bezier’s curve. Given two random vectors, you can generate a plot that, xspline will smooth out the plot and give it a “signaturey” look. The function itself is straightforward: inscrp <- function(rep){ x <- ...
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Tips for organising your R code
Keeping your R code organised is not as straightforward as one might think. Just think about the libraries, variables, functions, and many more. All these objects can be defined and later rewritten, some might get obsolete during the process. This process is proven to be even more crucial when you are part of a larger group of engineers, and scie...
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Advent of 2022, Day 3 – Understanding Azure Machine Learning Studio
In the series of Azure Machine Learning posts: Dec 01: What is Azure Machine Learning? Dec 02: Creating Azure Machine Learning Workspace After creating the Azure Machine Learning workspace, you will be able not only to start the Studio but access all the necessary settings and information. Outlook of Azure Machine Learning workspace In this...
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Advent of 2022, Day 1 – What is Azure Machine Learning?
Azure Machine Learning (or Azure Machine Learning Service and abbreviation AML) is Azure’s cloud service for creating, managing and productionalising machine learning projects. It is a collaborative tool for Data Scientists, Machine Learning Engineers, and data engineers, covering their daily and operational tasks. From creating and training to...
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Advent of 2022, Day 13 – Automated ML
In the series of Azure Machine Learning posts: Dec 01: What is Azure Machine Learning? Dec 02: Creating Azure Machine Learning Workspace Dec 03: Understanding Azure Machine Learning Studio Dec 04: Getting data to Azure Machine Learning workspace Dec 05: Creating compute and cluster instances in Azure Machine Learning Dec 06: Environments...
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Advent of 2022, Day 23 – Working with R
In the series of Azure Machine Learning posts: Dec 01: What is Azure Machine Learning? Dec 02: Creating Azure Machine Learning Workspace Dec 03: Understanding Azure Machine Learning Studio Dec 04: Getting data to Azure Machine Learning workspace Dec 05: Creating compute and cluster instances in Azure Machine Learning Dec 06: Environments...
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Performance comparison of converting list to data.frame with R language
When you are working with large datasets performance comes to everyone’s mind. Especially when converting datasets from one data type to another. And choosing the right method can make a huge difference. So in this case, I will be creating a dummy list, and I will convert the values in the list into data.frame. Simple function to create a large...
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Little useless-useful R functions – Mandelbrot set
The Mandelbrot set is a set of complex numbers c for which the function does not diverge to infinity when iterate from , and therefore remains bounded in absolute value. For little stretching, we can create a Mandlebrot set and draw it with image function. MandelBrotImage <- function(){ cols <- colorRampPalette(c("white","black","w...
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