This chapter concludes a book that familiarizes you with the world of data science. This book covers supervised learning and unsupervised learning, as well as dimension reduction. In addition, it concealed a subfield of machine learning, frequently recognized as deep learning. You might have realized that the field of machine learning is broad. You must be able to engineer data, optimize hyperparameters and develop, test, validate, deploy, and scale models to solve complex problems using machine learning ...
13. Machine Learning Using H2O
Get Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.