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Understanding LOOCV in Machine Learning

The Leave-One-Out Cross-Validation, or LOOCV, procedure is used to estimate the performance of machine learning algorithms when they are used to make predictions on data not...

Nested Cross-Validation with Python

The k-fold cross-validation procedure is used to estimate the performance of machine learning models when making predictions on data not used during training. This procedure...

Introduction to Computational Learning Theory

Computational learning theory, or statistical learning theory, refers to mathematical frameworks for quantifying learning tasks and algorithms. These are sub-fields of machine learning that a...

Preparing Data in Machine Learning

Data preparation may be one of the most difficult steps in any machine learning project. The reason is that each dataset is different and highly...

What is machine learning data poisoning?

  It’s not hard to tell that the image below shows three different things: a bird, a dog, and a horse. But to a machine learning...

Library Simplifying Automated Machine Learning with LALE

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...

Understanding k-NN algorithms

If I told you to imagine something between a horse and a bird—say, a flying horse—would you need to see a concrete example? Such...

Tutorial on Dimensionality Reduction in Python

Reducing the number of input variables for a predictive model is referred to as dimensionality reduction. Fewer input variables can result in a simpler predictive...

Introduction to Dimensionality Reduction for Machine Learning

The number of input variables or features for a dataset is referred to as its dimensionality. Dimensionality reduction refers to techniques that reduce the number...

ML approach to define antimalarial drug action

Abstract Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved...

Handling Big-p, Little-n (p >> n) in ML

What if I have more Columns than Rows in my dataset? Machine learning datasets are often structured or tabular data comprised of rows and columns. The...

Using Recursion to Traverse JSON Objects and the Filesystem

I work primarily on application-level programs, so I tend to not use recursion very often. However, every now and then I need a function...
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Introductory Guide on XCFramework and Swift Package

In WWDC 2019, Apple announced a brand new feature for Xcode 11; the capability to create a new kind of binary frameworks with a special format...

Understanding Self Service Data Management

https://dts.podtrac.com/redirect.mp3/www.dataengineeringpodcast.com/podlove/file/704/s/webplayer/c/episode/Episode-159-Isima.mp3 Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often...

Understanding Machine Learning Data Preparation Techniques

Predictive modeling machine learning projects, such as classification and regression, always involve some form of data preparation. The specific data preparation required for a dataset...

Java and Python in Top List of Self taught Languages

Here's a report for the times: Specops Software sifted data from Ahrefs.com using its Google and YouTube search analytics tool to surface a list of the programming languages people most...
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