ML implementations tend to get complicated quickly. This article will explain how ML system can be split into as few services as possible.

Author: Andrej Baranovskij

Introduction


An end-to-end example of TensorFlow.js code flow for the data classification task. This app is built with React, but the same code can be reused with any JS toolkit/framework.

Author: Andrej Baranovskij


Keras functional API provides an option to define Neural Network layers in a very flexible way. Developers have an option to create multiple outputs in a single model. This allows to minimize the number of models and improve code quality.

Author: Andrej Baranovskij


In this post, I show handy Python libraries to extract and process such information as price, date, and IBAN. It is hard to process this kind of data, but with proper libraries is simple.

Author: Andrej Baranovskij


End-to-end example to explain how to fine-tune the Hugging Face model with a custom dataset using TensorFlow and Keras. I show how to save/load the trained model and execute the predict function with tokenized input.

Author: Andrej Baranovskij


This post is about detecting text sentiment in an unsupervised way, using Hugging Face zero-shot text classification model.

Photo by geralt on Pixabay


This post is about how I passed TensorFlow Developer Certificate exam. Also, it is about my journey to Machine Learning and my views about software development powered by Machine Learning.

Author: Andrej Baranovskij

About me


Anomaly detection with autoencoders for fraudulent health insurance claims.

Photo by geralt on Pixabay


Bringing together all essential parts to build a simple, but powerful Machine Learning pipeline. This will cover Keras/TensorFlow model training, testing, auto re-training, and REST API

Photo by Alexei_other on Pixabay


Improved forecast approach to model coronavirus growth and stabilization. We are using Hill equation and backtesting to improve forecast calculation and give more tools to evaluate COVID-19 per country

Source: Pixabay
  • Hill equation support for COVID-19 growth modeling. This equation provides good results for coronavirus forecast
  • Backtesting support for Logistic and Hill equations, by calculating forecast from five days in the past
# Hill sigmoidal function
def func_hill(t, a, b, c):
return a * np.power(t, b) / (np.power(c, b) + np.power(t, b))

Andrej Baranovskij

TensorFlow Certified Developer | Machine Learning Expert | Oracle Wizard | Founder katanaml.io

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