Jakub Czakon

Senior Data Scientist interested in all-things machine learning, blogging about machine learning on https://neptune.ai/blog

Warsaw Joined on Dec 20, 2019 https://neptune.ai

Work

Senior Data Scientist at https://neptune.ai

Jakub Czakon

May 29 '20

Text Classification: All Tips and Tricks from 5 Kaggle Competitions

#machinelearning #python #datascience

10 min read

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Jakub Czakon

May 25 '20

6 GAN Architectures You Really Should Know

#machinelearning #python #datascience

15 min read

Jakub Czakon

May 19 '20

Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

#machinelearning #python #datascience

15 min read

Jakub Czakon

May 11 '20

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

#machinelearning #python #datascience

7 min read

Jakub Czakon

Apr 30 '20

Document Classification: 7 pragmatic approaches for small datasets

#machinelearning #datascience #python

12 min read

Jakub Czakon

Apr 21 '20

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

#machinelearning #python #datascience

42 min read

Jakub Czakon

Apr 13 '20

Keras Metrics: Everything You Need To Know

#machinelearning #datascience #tutorial

12 min read

Jakub Czakon

Mar 25 '20

How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps

4 min read

Jakub Czakon

Mar 23 '20

Exploratory Data Analysis for Natural Language Processing: A Complete Guide to Python Tools

#machinelearning #python #exploratorydataanalysis #naturallanguageprocessing

20 min read

Jakub Czakon

Jan 13 '20

Optuna vs Hyperopt: Which Hyperparameter Optimization Library Should You Choose?

#machinelearning #python #hyperparameteroptimization

21 min read

Jakub Czakon

Dec 20 '19

24 Evaluation Metrics for Binary Classification (And When to Use Them)

#machinelearning #python

28 min read

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Jakub Czakon

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Text Classification: All Tips and Tricks from 5 Kaggle Competitions

Want to connect with Jakub Czakon?

6 GAN Architectures You Really Should Know

Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

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

Document Classification: 7 pragmatic approaches for small datasets

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

Keras Metrics: Everything You Need To Know

How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps

Exploratory Data Analysis for Natural Language Processing: A Complete Guide to Python Tools

Optuna vs Hyperopt: Which Hyperparameter Optimization Library Should You Choose?

24 Evaluation Metrics for Binary Classification (And When to Use Them)