Patrycja Jenkner

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

1

15 min read

Patrycja Jenkner

Jan 8

Best Image Processing Tools Used in Machine Learning

#machinelearning #datascience #imageprocessing #python

4

9 min read

Patrycja Jenkner

Jan 4

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

#machinelearning #datascience #modelevaluation #deeplearning

8 1

16 min read

Patrycja Jenkner

Dec 16 '20

Top Research Papers from the ECML-PKDD 2020 Conference

#machinelearning #datascience #ecmlpkdd #conference

0

32 min read

Patrycja Jenkner

Dec 16 '20

Deep Dive into TensorBoard: Tutorial With Examples

#machinelearning #datascience #tensorboard #tutorial

4

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

6

9 min read

Patrycja Jenkner

Nov 26 '20

19 Best JupyterLab Extensions for Machine Learning

#machinelearning #datascience #jupyter #extension

11

9 min read

Patrycja Jenkner

Nov 19 '20

Machine Learning Trends to Watch Out in 2020 and 2021

#machinelearning #artificialintelligence #ai #reinforcementlearning

9

8 min read

Patrycja Jenkner

Nov 18 '20

A Complete Guide to Monitoring ML Experiments Live in Neptune

#machinelearning #neptune #monitoring #experimenttracking

5

10 min read

Patrycja Jenkner

Nov 13 '20

Hyperparameter Tuning in Python: a Complete Guide 2020

#machinelearning #hyperparameteroptimization #hyperparamytertuning #python

6

9 min read

Patrycja Jenkner

Nov 6 '20

Implementing Content-Based Image Retrieval with Siamese Networks in PyTorch

#machinelearning #datascience #pytorch #siamesenetworks

13 1

12 min read

Patrycja Jenkner

Nov 4 '20

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

#machinelearning #datascience #kaggle #kagglecompetition

2

9 min read

Patrycja Jenkner

Oct 30 '20

The Best Deep Learning Papers from the ICLR 2020 Conference

#machinelearning #deeplearning #iclrconference #datascience

2

11 min read

Patrycja Jenkner

Oct 27 '20

How to Monitor Machine Learning and Deep Learning Experiments

#machinelearning #deeplearning #tutorial #datascience

7

4 min read

Patrycja Jenkner

Oct 23 '20

Interview with a Chief AI Scientist: Arash Azhand

#machinelearning #datascience #artificiaintelligence #interview

1

17 min read

Patrycja Jenkner

Oct 22 '20

The Best Generative Models Papers from the ICLR 2020 Conference

#machinelearning #deeplearning #generativemodel #iclr

0

6 min read

Patrycja Jenkner

Oct 20 '20

How to Track Hyperparameters of Machine Learning Models?

#machinelearning #datascience #hyperparameters #hyperparameterstracking

1

12 min read

Patrycja Jenkner

Oct 15 '20

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

#machinelearning #deeplearning #iclr #libraries

4

15 min read

Patrycja Jenkner

Oct 12 '20

Interview with a Lead Data Scientist: Gabriel Preda

#machinelearning #datascience #kaggle #artificialintelligence

3

11 min read

Patrycja Jenkner

Oct 7 '20

Interview with a Head of AI: Pawel Godula

#machinelearning #artificialintelligence #ai #datascience

1

20 min read

Patrycja Jenkner

Oct 6 '20

10 Real-Life Applications of Reinforcement Learning

#machinelearning #reinforcementlearning #ai #datascience

4

9 min read

Patrycja Jenkner

Oct 1 '20

Data Augmentation in NLP: Best Practices From a Kaggle Master

#machinelearning #datascience #nlp #kaggle

14

8 min read

Patrycja Jenkner

Sep 24 '20

The Best Reinforcement Learning Papers from the ICLR 2020 Conference

#machinelearning #reinforcementlearning #iclrconference #datascience

2

11 min read

Patrycja Jenkner

Sep 8 '20

Interview with a Head of AI: Vladimir Rybakov

#machinelearning #deeplearning #artificialintelligence #datascience

3

13 min read

Patrycja Jenkner

Sep 8 '20

Keras Loss Functions: Everything You Need To Know

#machinelearning #keras #deeplearning #datascience

7

11 min read

Patrycja Jenkner

Sep 3 '20

6 GAN Architectures You Really Should Know

#machinelearning #generativemodel #deeplearning #gan

10

15 min read

Patrycja Jenkner

Sep 2 '20

Best Practices for Dealing with Concept Drift

#machinelearning #datascience #conceptdrift #deeplearning

1

14 min read

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

Best Image Processing Tools Used in Machine Learning

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

Top Research Papers from the ECML-PKDD 2020 Conference

Deep Dive into TensorBoard: Tutorial With Examples

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

19 Best JupyterLab Extensions for Machine Learning

Machine Learning Trends to Watch Out in 2020 and 2021

A Complete Guide to Monitoring ML Experiments Live in Neptune

Hyperparameter Tuning in Python: a Complete Guide 2020

Implementing Content-Based Image Retrieval with Siamese Networks in PyTorch

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

The Best Deep Learning Papers from the ICLR 2020 Conference

How to Monitor Machine Learning and Deep Learning Experiments

Interview with a Chief AI Scientist: Arash Azhand

The Best Generative Models Papers from the ICLR 2020 Conference

How to Track Hyperparameters of Machine Learning Models?

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

Interview with a Lead Data Scientist: Gabriel Preda

Interview with a Head of AI: Pawel Godula

10 Real-Life Applications of Reinforcement Learning

Data Augmentation in NLP: Best Practices From a Kaggle Master

The Best Reinforcement Learning Papers from the ICLR 2020 Conference

Interview with a Head of AI: Vladimir Rybakov

Keras Loss Functions: Everything You Need To Know

6 GAN Architectures You Really Should Know

Best Practices for Dealing with Concept Drift

DEV Community is a community of 553,934 amazing developers

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