Made2Thrive: 13 Proven Practices To Help You On Your Journey Of Success
- 176 pages
- 7 hours of reading
Tony Ojeda is an accomplished data scientist and entrepreneur with expertise in business process optimization. He possesses over a decade of experience in creating and implementing innovative data products and solutions. As the founder of District Data Labs and a co-founder of Data Community DC, he actively promotes data science education through both organizations.
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.
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.