Benjamin Bengfort Books

Benjamin Bengfort is an experienced data scientist and Python developer with eight years of experience across military, industry, and academia. His research focuses on metacognition and natural language processing, which he applies while teaching data science and analytics at Georgetown University. With a deep appreciation for the combination of models and data for entrepreneurial effect, he is involved in developing data science startups, leveraging large-scale machine learning and Big Data techniques.

Applied text analysis with Python : enabling language-aware data products with machine learning

Applied text analysis with Python : enabling language-aware data products with machine learning
332 pages
12 hours of reading
3.9(48)Add rating
The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science.
Data Analytics with Hadoop
288 pages
11 hours of reading
3.7(17)Add rating
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job.

Applied text analysis with Python : enabling language-aware data products with machine learning

Data Analytics with Hadoop