Subject

Data

Detecting Word Types with POS Tagging, Part 2

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Once you have roles identified, you can move on to syntactic parsing.

Fun Uses for Word Vectors

In this video, Hobson shows you how to move words from inflammatory to less inflammatory context with the help of word vectors (Word2vec).

Training an SVM model in R with mlr

Hefin I. Rhys teaches you how to train, tune, and cross-validate a Support Vector Machine model using RStudio and the awesome mlr machine learning package.

Essential Tools for Deep Learning and Data Science

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner – Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) – with the help of Krishnendu Chaudhury.

Automatic Differentiation in Python and PyTorch

Deep dive with Carl Osipov into understanding automatic differentiation used by PyTorch autograd for deep learning

Detecting Word Types with Part-of-Speech Tagging, part 1

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Let’s first look into why identifying roles is important.

Keep your systems in top condition

From Tuning Up: From A/B testing to Bayesian optimization by David Sweet Take 40% off the entire book. Just enter code slsweet into the discount code box at checkout at manning.com. Tuning Up: From A/B testing to Bayesian optimization is a… Continue Reading →

Preparing Yourself for a Job in Data Science, Part 4: what to expect after you get a job

This article guides you through what it’s like working as a data scientist. We’re going to walk you through what to expect in your first few months and how to use them to set yourself up for success. These months will have an outsized impact on how the job goes and this is your chance to set up a system and support network that allows you to be successful.

Preparing Yourself for a Job in Data Science, Part 3: finding a job

In this article, we’ll focus on how to look for data science jobs. You’ll first learn all the places where you can find jobs, making sure you won’t unknowingly narrow your options. We’ll cover how to decode these descriptions to find out what skills you need (spoiler: it’s not all of them) and what the job might be like. Finally, you’ll learn how to choose which ones are best suited for you, using your knowledge about data science skills and company archetypes.

Preparing Yourself for a Job in Data Science, Part 2: building a portfolio

From Build a Career in Data Science by Emily Robinson and Jacqueline Nolis If you have already learned the skills you need for a data science job, why not put them to use in a way that a potential employer… Continue Reading →

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