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Data Digest: Understanding and Supporting Data Science

Data science for nontechnical staff, basic data science steps, and clashes between IT and data scientists.

2021: A Tale of Three Networks

As we move into 2021, we will see increased integration of neural networks into software that runs our lives, enabling greater capabilities in spatial and sequential learning and making it tougher to differentiate between what is real and what is fake.

Trends Data Analytics Professionals Should Pay Attention To In 2021

Predictions for AI and ML trends in data access, understanding new data, and executing information based on the data.

Data Digest: Bias, Ethics, and Analytics with Health Data

Biased algorithms in healthcare, concerns about big data ethics, and analytics around coronavirus risk.

Data Digest: Remote Collaboration, Data Science Practice, and ML in Email

Working with remote data scientists, practice projects to hone your skills, and how machine learning detects spam.

Don’t Forget the Back End of the Machine Learning Process

Not planning for putting models into production can lead to project failure or increase the amount of time needed to deploy a model.

Why Structured and Unstructured Data Need Different Security Techniques

Data is data is data, right? Not so fast. As Scott Lucas, head of marketing at Concentric, points out, enterprises need more than a one-size-fits-all approach to data security.

The Path to Pervasive Intelligence: 2021 Predictions

These three predictive-analytics milestones are worth watching out for in the coming year.

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