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Alexandra Amidon
Alexandra Amidon

2K Followers

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Published in

Geek Culture

·Pinned

Replace Outlier Detection by Simple Statistics with ECOD

A NEW python-based, simple, parameter-free, and interpretable anomaly detection method — Outliers can be defined as rare events in the data, often appearing at the tails of a distribution. Outlier detection is best treated as an unsupervised task because labels are often rare or difficult to collect and may not capture all possible types of anomalies that could occur. A common…

Artificial Intelligence

8 min read

Replace Outlier Detection by Simple Statistics with ECOD
Replace Outlier Detection by Simple Statistics with ECOD
Artificial Intelligence

8 min read


Published in

Towards Data Science

·Pinned

MiniRocket: Fast(er) and Accurate Time Series Classification

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…

Data Science

7 min read

MiniRocket: Fast(er) and Accurate Time Series Classification
MiniRocket: Fast(er) and Accurate Time Series Classification
Data Science

7 min read


Apr 14

AI Taught Me how NOT to Potty Train my Child

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…

ChatGPT

4 min read

ChatGPT

4 min read


Dec 27, 2021

Why Writing a Technical Blog will Advance Your Career

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…

Artificial Intelligence

3 min read

Why Writing a Technical Blog will Advance Your Career
Why Writing a Technical Blog will Advance Your Career
Artificial Intelligence

3 min read


Published in

Towards AI

·Dec 4, 2021

An In-depth Guide to Local Outlier Factor (LOF) for Outlier Detection in Python

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…

Artificial Intelligence

7 min read

An In-depth Guide to Local Outlier Factor (LOF) for Outlier Detection in Python
An In-depth Guide to Local Outlier Factor (LOF) for Outlier Detection in Python
Artificial Intelligence

7 min read


Published in

Towards Data Science

·Jul 26, 2021

River: the Best Python Library for Online Machine Learning

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. …

Artificial Intelligence

6 min read

River: the Best Python Library for Online Machine Learning
River: the Best Python Library for Online Machine Learning
Artificial Intelligence

6 min read


Published in

Towards Data Science

·Jul 21, 2021

Don’t Use K-fold Validation for Time Series Forecasting

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. …

Artificial Intelligence

5 min read

Don’t Use K-fold Validation for Time Series Forecasting
Don’t Use K-fold Validation for Time Series Forecasting
Artificial Intelligence

5 min read


Published in

Feedium

·Jul 15, 2021

My “Secret” to Medium Success

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. …

Blog

4 min read

My “Secret” to Medium Success
My “Secret” to Medium Success
Blog

4 min read


Published in

Geek Culture

·Jun 16, 2021

You are Invited! Join the sktime Dev Days

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

Python

3 min read

You are Invited! Join the sktime Dev Days
You are Invited! Join the sktime Dev Days
Python

3 min read


Published in

MLearning.ai

·Jun 8, 2021

How to Write a Popular Data Science Blog

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…

Artificial Intelligence

5 min read

How to Write a Popular Data Science Blog
How to Write a Popular Data Science Blog
Artificial Intelligence

5 min read

Alexandra Amidon

Alexandra Amidon

2K Followers

Data scientist working in the financial services industry

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