Machine Learning Models

By Jakub CzakonIn Deep Learning, Machine Learning Models

Keras Loss Functions: Everything You Need To Know

You’ve created a deep learning model in keras, you prepared the data and now you are wondering which loss you should choose for your problem. We’ll get to that in...

By Jakub CzakonIn Machine Learning Models, Model evaluation

Best Practices for Dealing with Concept Drift

You trained a machine learning model, validated its performance across several metrics which are looking good, you put it in production, and then something unforeseen happened (a pandemic like COVID-19...

By Jakub CzakonIn Machine Learning Models, Model evaluation

Tabular Data Binary Classification: All Tips and Tricks from 5 Kaggle Competitions

In this article, I will discuss some great tips and tricks to improve the performance of your structured data binary classification model. These tricks are obtained from solutions of some...

By Jakub CzakonIn Machine Learning Models

Random Forest Regression: When Does It Fail and Why?

In this article, we’ll look at a major problem with using Random Forest for Regression which is extrapolation. We’ll cover the following items: Random Forest Regression vs Linear RegressionRandom Forest...

By Jakub CzakonIn Deep Learning, Machine Learning Models

How to Keep Track of PyTorch Lightning Experiments with Neptune

Working with PyTorch Lightning and wondering which logger should you choose to keep track of your experiments? Thinking of using PyTorch Lightning to structure your Deep Learning code and wouldn't...

By Jakub CzakonIn Hyperparameter optimization, Machine Learning Models

Understanding LightGBM Parameters (and How to Tune Them)

I’ve been using lightGBM for a while now. It’s been my go-to algorithm for most tabular data problems. The list of awesome features is long and I suggest that you...

text classification kaggle tips and tricks

By Jakub CzakonIn Machine Learning Models

Text Classification: All Tips and Tricks from 5 Kaggle Competitions

In this article, I will discuss some great tips and tricks to improve the performance of your text classification model. These tricks are obtained from solutions of some of Kaggle’s...

image segmentation kaggle tips and tricks

By Jakub CzakonIn Deep Learning, Machine Learning Models

Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to hammer a Kaggle competition. I have gone over 39 Kaggle competitions including Data Science Bowl 2017 -...

By Jakub CzakonIn Deep Learning, Machine Learning Models

6 GAN Architectures You Really Should Know

Generative Adversarial Networks (GANs) were first introduced in 2014 by Ian Goodfellow et. al. and since then this topic itself opened up a new area of research. Within a few...

By Jakub CzakonIn Deep Learning, Machine Learning Models

Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks

In this piece, we’ll take a plunge into the world of image segmentation using deep learning. We’ll talk about: what image segmentation is And the two main types of image...

By Jakub CzakonIn Deep Learning, Machine Learning Models

Document Classification: 7 pragmatic approaches for small datasets

Document Classification: 7 pragmatic approaches for small datasets Document or text classification is one of the predominant tasks in Natural language processing. It has many applications including news type classification,...

By Jakub CzakonIn Deep Learning, Machine Learning Models

8 Creators and Core Contributors Talk About Their Model Training Libraries From PyTorch Ecosystem

8 Creators and Core Contributors Talk About Their Model Training Libraries From PyTorch Ecosystem Jakub Czakon Senior Data Scientist I started using Pytorch to train my models back in early...