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Patrycja Jenkner

Working at @neptune_ai

San Sebastian, Spain Joined on Sep 1, 2020

Work

Marketing assistant at Neptune.ai

Patrycja Jenkner

Apr 21

A Quickstart Guide to Auto-Sklearn (AutoML) for Machine Learning Practitioners

#machinelearning #sklearn #automl #datascience

8 min read

ML Ops

If you'd like to learn more about MLOps, check this article n...

Apr 13

Tools for efficient MLOps (Machine Learning DevOps)

Hi! Great article, thanks for sharing it! However, there are ...

Apr 13

Patrycja Jenkner

Apr 15

Best Machine Learning Model Management Tools That You Need to Know

#machinelearning #modelmanagement #mlops #tools

15 min read

Patrycja Jenkner

Apr 8

What Image Processing Techniques Are Actually Used in the ML Industry?

#machinelearning #datascience #computervision #imageprocessing

9 min read

Patrycja Jenkner

Mar 25

How to Track and Organize ML Experiments That You Run in Google Colab

#machinelearning #deeplearning #googlecolab #experimenttracking

9 min read

Patrycja Jenkner

Mar 19

How AI and ML Can Solve Business Problems in Tourism – Chatbots, Recommendation Systems, and Sentiment Analysis

#machinelearning #ai #tourism #chatbots

12 min read

Patrycja Jenkner

Mar 18

Most Used Tools, Frameworks, and Libraries in Machine Learning Industry (Roundup)

#machinelearning #tooling #datascience #mlindustry

9 min read

Patrycja Jenkner

Mar 11

Kubernetes vs Docker – What You Should Know as a Machine Learning Engineer

#machinelearning #kubernetes #docker #mlengineer

28 min read

Patrycja Jenkner

Mar 5

How to Keep Track of Deep Learning Experiments in Notebooks

#machinelearning #jupyternotebooks #deeplearning #experimenttracking

8 min read

Patrycja Jenkner

Jan 12

How to Make Sense of the Reinforcement Learning Agents? What and Why I Log During Training and Debug

#machinelearning #reinforcementlearning #rl #datascience

15 min read

Patrycja Jenkner

Jan 8

Best Image Processing Tools Used in Machine Learning

#machinelearning #datascience #imageprocessing #python

9 min read

Patrycja Jenkner

Jan 4

Cross-Validation in Machine Learning: How to Do It Right

#machinelearning #datascience #modelevaluation #deeplearning

16 min read

Patrycja Jenkner

Dec 16 '20

Top Research Papers from the ECML-PKDD 2020 Conference

#machinelearning #datascience #ecmlpkdd #conference

32 min read

Patrycja Jenkner

Dec 16 '20

Deep Dive into TensorBoard: Tutorial With Examples

#machinelearning #datascience #tensorboard #tutorial

18 min read

Patrycja Jenkner

Dec 4 '20

How to Set Up Continuous Integration for Machine Learning with Github Actions and Neptune: Step by Step Guide

#datascience #githubactions #github #ci

9 min read

Patrycja Jenkner

Nov 26 '20

19 Best JupyterLab Extensions for Machine Learning

#machinelearning #datascience #jupyter #extension

9 min read

Patrycja Jenkner

Nov 19 '20

Machine Learning Trends to Watch Out in 2020 and 2021

#machinelearning #artificialintelligence #ai #reinforcementlearning

8 min read

Patrycja Jenkner

Nov 18 '20

A Complete Guide to Monitoring ML Experiments Live in Neptune

#machinelearning #neptune #monitoring #experimenttracking

10 min read

Patrycja Jenkner

Nov 13 '20

Hyperparameter Tuning in Python: a Complete Guide 2020

#machinelearning #hyperparameteroptimization #hyperparamytertuning #python

9 min read

Patrycja Jenkner

Nov 6 '20

Implementing Content-Based Image Retrieval with Siamese Networks in PyTorch

#machinelearning #datascience #pytorch #siamesenetworks

12 min read

Patrycja Jenkner

Nov 4 '20

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

#machinelearning #datascience #kaggle #kagglecompetition

9 min read

Patrycja Jenkner

Oct 30 '20

The Best Deep Learning Papers from the ICLR 2020 Conference

#machinelearning #deeplearning #iclrconference #datascience

11 min read

Patrycja Jenkner

Oct 27 '20

How to Monitor Machine Learning and Deep Learning Experiments

#machinelearning #deeplearning #tutorial #datascience

4 min read

Patrycja Jenkner

Oct 23 '20

Interview with a Chief AI Scientist: Arash Azhand

#machinelearning #datascience #artificiaintelligence #interview

17 min read

Patrycja Jenkner

Oct 22 '20

The Best Generative Models Papers from the ICLR 2020 Conference

#machinelearning #deeplearning #generativemodel #iclr

6 min read

Patrycja Jenkner

Oct 20 '20

How to Track Hyperparameters of Machine Learning Models?

#machinelearning #datascience #hyperparameters #hyperparameterstracking

12 min read

Patrycja Jenkner

Oct 15 '20

Top Open Source Tools and Libraries for Deep Learning – ICLR 2020 Experience

#machinelearning #deeplearning #iclr #libraries

15 min read

Patrycja Jenkner

Oct 12 '20

Interview with a Lead Data Scientist: Gabriel Preda

#machinelearning #datascience #kaggle #artificialintelligence

11 min read

Patrycja Jenkner

Oct 7 '20

Interview with a Head of AI: Pawel Godula

#machinelearning #artificialintelligence #ai #datascience

20 min read

Patrycja Jenkner

Oct 6 '20

10 Real-Life Applications of Reinforcement Learning

#machinelearning #reinforcementlearning #ai #datascience

9 min read

Patrycja Jenkner

Oct 1 '20

Data Augmentation in NLP: Best Practices From a Kaggle Master

#machinelearning #datascience #nlp #kaggle

8 min read

Patrycja Jenkner

Sep 24 '20

The Best Reinforcement Learning Papers from the ICLR 2020 Conference

#machinelearning #reinforcementlearning #iclrconference #datascience

11 min read

Patrycja Jenkner

Sep 8 '20

Interview with a Head of AI: Vladimir Rybakov

#machinelearning #deeplearning #artificialintelligence #datascience

13 min read

Patrycja Jenkner

Sep 8 '20

Keras Loss Functions: Everything You Need To Know

#machinelearning #keras #deeplearning #datascience

11 min read

Patrycja Jenkner

Sep 3 '20

6 GAN Architectures You Really Should Know

#machinelearning #generativemodel #deeplearning #gan

15 min read

Patrycja Jenkner

Sep 2 '20

Best Practices for Dealing with Concept Drift

#machinelearning #datascience #conceptdrift #deeplearning

14 min read

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