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 Top 10 Books on NLP and Text Analysis
When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities. In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts.
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Comparison of the Text Distance Metrics
There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only for a range of specific use cases.
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What to do when your training and testing data come from different distributions
However, sometimes only a limited amount of data from the target distribution can be collected. It may not be sufficient to build the needed train/dev/test sets. What to do in such a case? Let us discuss some ideas!
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Comparison of the Top Speech Processing APIs
There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table.
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BERT: State of the Art NLP Model, Explained
BERT’s key technical innovation is applying the bidirectional training of Transformer, a popular attention model, to language modelling. It has caused a stir in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks.
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A Guide to Decision Trees for Machine Learning and Data Science
What makes decision trees special in the realm of ML models is really their clarity of information representation. The “knowledge” learned by a decision tree through training is directly formulated into a hierarchical structure.
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Six Steps to Master Machine Learning with Data Preparation
To prepare data for both analytics and machine learning initiatives teams can accelerate machine learning and data science projects to deliver an immersive business consumer experience that accelerates and automates the data-to-insight pipeline by following six critical steps.
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eBook: An Introduction to Active Learning
At Figure Eight, we're big believers in active learning. We think it holds the promise to better models, and that it's just about to go mainstream. In our new eBook, An Introduction to Active Learning, we cover the essentials. Download now!
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Solve any Image Classification Problem Quickly and Easily
This article teaches you how to use transfer learning to solve image classification problems. A practical example using Keras and its pre-trained models is given for demonstration purposes.
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Keras Hyperparameter Tuning in Google Colab Using Hyperas
In this post, I will show you how you can tune the hyperparameters of your existing keras models using Hyperas and run everything in a Google Colab Notebook.
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Top 10 Books on NLP and Text Analysis
A Guide to Decision Trees for Machine Learning and Data Science