Made2Thrive: 13 Proven Practices To Help You On Your Journey Of Success
- 176pages
- 7 heures de lecture
Tony Ojeda est un data scientist et entrepreneur accompli, expert en optimisation des processus métier. Il possède plus d'une décennie d'expérience dans la création et la mise en œuvre de produits et solutions de données innovants. En tant que fondateur de District Data Labs et cofondateur de Data Community DC, il promeut activement la formation en science des données par le biais de ces deux organisations.



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.