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What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with natural language processing. It encompasses a range of techniques that attempt to translate human language into machine-readable formats and vice versa. Examples include automatic text analysis, machine translation, dialog systems, and text classification.

What is data enrichment?

Data enrichment is a process of enhancing and improving data by adding additional information to bring the data into a more structured or informed form. The purpose of data enrichment is to give users more insight into their data, allowing them to make better decisions and perform better analysis. Examples of data enrichment can include mapping geolocation data, demographic information, customer histories, or other external sources to existing data.

What is Deep Learning?

Deep learning is a form of machine learning that uses complex models to analyze very large amounts of data. It is similar in many ways to the learning that the human brain uses to learn new concepts or insights. It is based on a set of algorithms called neural networks. These networks have individual connections that function like synapses in the brain. These connections are then layered to increase the complexity of the patterns they process. Deep Learning is particularly useful for automating processes and developing decision-making systems based on complex data.

What is database architecture?

Database architecture is a branch of computer science that deals with the design, organization and management of databases. It includes the development of database models, the definition of storage structures, the specification of access methods, and the implementation of the database. In addition, database architecture also includes planning and managing the network and system resources required to support the database.

What is database design?

Database design is the process of planning, modeling, and implementing a database. It involves the creation of a logical and physical model for the database that includes the data structures, functions, and access rules needed to manage and access the data. It also includes defining the dependencies between the different data components and creating user interfaces that provide the user with easy access to the database.