Course DescriptionMongoDB is a tool to explore data structured as you see fit. As a NoSQL database, it doesn't follow the strict relational format imposed by SQL. By providing capabilities that typically require adding layers to SQL, it collapses complexity. With dynamic schema, you can handle vastly different data together and consolidate analytics. The flexibility of MongoDB empowers you to keep improving and fix issues as your requirements evolve. In this course, you will learn the MongoDB language and apply it to search and analytics.
MongoDB isn't a machine learning engine, but it certainly won't get in the way of our efforts and in fact aggregation can make things much easier. So the purpose of this week is to show how easy it is to work with data from MongoDB. Now we won't dive into cleaning hyperparameters or discuss the artful side of. May 15, 2017 Deep learning is a subset of machine learning that has attracted worldwide attention for its recent success solving particularly hard and large-scale problems in areas such as speech recognition, natural language processing, and image classification. Deep learning is a.
Working with unprocessed data from the official nobelprize.org API, you will explore and answer questions about Nobel Laureates and prizes.