The FASTEST state-of-the-art algorithm for series classification with Python — Most state-of-the-art (SOTA) time series classification methods are limited by high computational complexity. This makes them slow to train on smaller datasets and effectively unusable on large datasets. Recently, ROCKET (RandOM Convolutional KErnel Transform) has achieved SOTA of accuracy in just a fraction of the time as other SOTA time…

And it’s hilarious — Conversational AI tools like ChatGPT are a great way to brainstorm ideas and quickly get started on new tasks. As the mother of a young child, I was curious if ChatGPT could help me learn how to potty-train my child. Indeed, it can generate the same sort of advice that…

And how to select topics to write about — Communication is a critical skill for data scientists, programmers, and anyone in a technical role. Projects are started (and terminated) based on both the merit of an idea, progress, and how well key stakeholders understand it. People who can explain what they are doing and why are more likely to…

Theoretical intuition, mathematical definition, and practical code examples — Outlier detection is a machine learning task that aims to identify rare items, events, or observations that deviate from the “norm” or general distribution of the given data. This article is an in-depth guide to both theory and application of the Local Outlier Factor (LOF) algorithm for outlier detection. We…

The “sklearn” for machine learning on streaming data — Conventional machine learning algorithms, such as linear regression and xgboost, operate in “batch” mode. That is, they fit a model using a full dataset in one go. Updating that model with new data requires fitting a brand new model from scratch using both the new data and the old data. …

How to perform temporal cross validation with sktime in python — Cross validation is a useful procedure to help select optimal hyperparameters for a machine learning model. It is especially useful for smaller datasets, where there is not enough data to create representative train, validation, and test sets. …

Anyone can do it, in theory — There are many paths that lead to Medium success and I believe I have found one of them. I consistently average $150-$250 per month, excluding the $500 Medium bonuses. Once I started tagging my articles as #artificialintelligence, I earned the Top Writer in Artificial Intelligence tag. …

Contribute to a growing python package for time series machine learning — Sktime is a popular new python package for time series machine learning. The contributors continue to fix bugs and add new features — and invite you to contribute too! Sktime: a Unified Python Library for Time Series Machine Learning The “sklearn” for time series forecasting, classification, and regressiontowardsdatascience.com

Advice from a Top Writer in Artificial Intelligence — So you want to write a widely read article about Data Science / Machine Learning / Artificial Intelligence? In May 2021, I was recognized as a top writer in AI and was among the top 1000 writers in the Medium Partner Program. My older articles still continue to receive views…