Natural Language Processing Archives

ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It

Let me share a story that I’ve heard too many times. ”… We were developing an ML model with my team, we ran a lot of experiments and got promising…

Jakub Czakon

Experiment Management

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

Based on simply watching how an agent acts in the environment it is hard to tell anything about why it behaves this way and how it works internally. That’s why…

Piotr Januszewski

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Latest Featured Experiment Management Machine Learning Model Management Hyperparameter Optimization Model Evaluation Data Exploration Computer Vision Natural Language Processing Generative Models Structured Data Reinforcement Learning Deep Learning Machine Learning Tools Other

pyLDAvis: Topic Modelling Exploration Tool That Every NLP Data Scientist Should Know

Have you ever wanted to classify news, papers, or tweets based on their topics? Knowing how to do this can help you…

AI Limits: Can Deep Learning Models Like BERT Ever Understand Language?

It’s safe to assume a topic can be considered mainstream when it is the basis for an opinion piece in the Guardian….

How to Structure and Manage Natural Language Processing (NLP) Projects

If there is one thing I learned working in the ML industry is this: machine learning projects are messy. It is not…

Sentiment Analysis in Python: TextBlob vs Vader Sentiment vs Flair vs Building It From Scratch

Sentiment analysis is one of the most widely known Natural Language Processing (NLP) tasks. This article aims to give the reader a…

Data Augmentation in NLP: Best Practices From a Kaggle Master

There are many tasks in NLP from text classification to question answering but whatever you do the amount of data you have…

The Best NLP/NLU Papers from the ICLR 2020 Conference

The International Conference on Learning Representations (ICLR) took place last week, and I had a pleasure to participate in it. ICLR is…

text classification kaggle tips and tricks

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…

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,…

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

Exploratory data analysis is one of the most important parts of any machine learning workflow and Natural Language Processing is no different….

ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It

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

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I want to learn about:

pyLDAvis: Topic Modelling Exploration Tool That Every NLP Data Scientist Should Know

AI Limits: Can Deep Learning Models Like BERT Ever Understand Language?

How to Structure and Manage Natural Language Processing (NLP) Projects

Sentiment Analysis in Python: TextBlob vs Vader Sentiment vs Flair vs Building It From Scratch

Data Augmentation in NLP: Best Practices From a Kaggle Master

The Best NLP/NLU Papers from the ICLR 2020 Conference

Text Classification: All Tips and Tricks from 5 Kaggle Competitions

Document Classification: 7 Pragmatic Approaches for Small Datasets

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

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