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Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Semantics and Pragmatics
Algorithms for text analytics must model how language works to incorporate meaning in language—and so do the people deploying these algorithms. Bender & Lascarides 2019 is an accessible overview of what the field of linguistics can teach NLP about how meaning is encoded in human languages.
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 How to Optimize Your CV for a Data Scientist Career
As the number of data science positions continues to grow dramatically, so does the number of data scientists in the marketplace. Follow these expert tips and examples to help make your resume and job applications stand out in an increasingly competitive field.
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Top Google AI, Machine Learning Tools for Everyone
By Matthew T. Dearing on August 18, 2020 in AI, AutoML, Bias, Data Science Platforms, Datasets, Google, Google Cloud, Google Colab, Machine Learning, TensorFlowGoogle is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.
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How Do Neural Networks Learn?
With neural networks being so popular today in AI and machine learning development, they can still look like a black box in terms of how they learn to make predictions. To understand what is going on deep in these networks, we must consider how neural networks perform optimization.
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The List of Top 10 Lists in Data Science
The list of Top 10 lists that Data Scientists -- from enthusiasts to those who want to jump start a career -- must know to smoothly navigate a path through this field.
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Introduction to Statistics for Data Science
Statistics is foundational for Data Science and a crucial skill to master for any practitioner. This advanced introduction reviews with examples the fundamental concepts of inferential statistics by illustrating the differences between Point Estimators and Confidence Intervals Estimates.
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Data Science Internship Interview Questions
Data science is an attractive field because not only is it lucrative, but you can have opportunities to work on interesting projects, and you’re always learning new things. If you're trying to get started from the ground up, then review this guide to prepare for the interview essentials.
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The Uncommon Data Science Job Guide
With the job landscape in Data Science becoming hyper-competitive, there are clear strategies you can consider to find your way to snagging a position in the field.
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Essential Data Science Tips: How to Use One-Vs-Rest and One-Vs-One for Multi-Class Classification
Classification, as a predictive model, involves aligning each class label to examples. Algorithms designed for binary classification cannot be applied to multi-class classification problems. For such situations, heuristic methods come in handy.
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Word Embedding Fairness Evaluation
With word embeddings being such a crucial component of NLP, the reported social biases resulting from the training corpora could limit their application. The framework introduced here intends to measure the fairness in word embeddings to better understand these potential biases.
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How to Optimize Your CV for a Data Scientist Career
The List of Top 10 Lists in Data Science