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Books on Graph-Powered Machine Learning, Graph Databases, Deep Learning for Search – 50% off
These 3 books will help you make the most from graph-powered databases. For a limited time, get 50% off any of them with the code kdngraph.
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“Please, explain.” Interpretability of machine learning models
Unveiling secrets of black box models is no longer a novelty but a new business requirement and we explain why using several different use cases.
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[White Paper] Unlocking the Power of Data Science & Machine Learning with Python
This guide from ActiveState provides an executive overview of how you can implement Python for your team’s data science and machine learning initiatives.
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How to fix an Unbalanced Dataset
We explain several alternative ways to handle imbalanced datasets, including different resampling and ensembling methods with code examples.
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 The Third Wave Data Scientist
An extensive look at what skills are needed to make up the portfolio of the third wave of data scientists.
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XGBoost Algorithm: Long May She Reign
In recent years, XGBoost algorithm has gained enormous popularity in academic as well as business world. We outline some of the reasons behind this incredible success.
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Learn About Data Science & the Future of Investing from Hedge Fund Leaders at Rev 2
Rev 2 features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.
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Interview Questions for Data Science – Three Case Interview Examples
Part two in this series of useful posts for aspiring data scientists focuses on case interviews and how you can best go about answering them.
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 The most desired skill in data science
What is the biggest skill gap in data science according to hiring managers looking for hire recent graduates? Hint: it’s not coding.
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Generative Adversarial Networks – Key Milestones and State of the Art
We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.
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The Third Wave Data Scientist
The most desired skill in data science