Tag: Python

•An effective way to leverage emerging technologies to solve some common complex problems which are currently being done manually. A cool way to utilize ML/AI along with Natural Language processing to scan large volumes of text. The primary goal is to identify Keywords and frequency of keywords that relate to diseases using tokenization and Lemmatization models. Opensource Models like FuzzyWuzzy logic and Document Frequency Terms (DFT) were extensively used.
•Our Business Operations at Kaiser captures long texts and unstructured data for each research subject (about 6000 to 10000 of them a year) that they work on. This unstructured data is captured in long text fields and sometimes runs into multiple pages for each subject. We created models to scan through volumes of texts, identify Keywords using python Spacy models, and have the models predict the area of and type of study.
•Tools used: Python, SQL, Oracle Cloud Analytics, Oracle Cloud reporting, and Data Science services from Oracle

Speaker: Pratap Madgula and Tony Schollum, Kaiser Permanente

Presented at INSYNC 21

Session ID: 101970

In this Hands-on Lab, join us to experience Oracle Machine Learning for Python (OML4Py) on Oracle Autonomous Database. OML4Py supports scalable, in-database data exploration and preparation using native Python syntax, invocation of in-database algorithms for model building and scoring, and embedded execution of user-defined Python functions from Python or REST APIs. OML4Py also includes the AutoML interface for automated algorithms, feature selection, and hyperparameter tuning. In this six-part lab, explore the range of Python-enabled functionality and see how Oracle technology can support your data science projects.

Get hands-on and learn the features of the Python cx_Oracle interface for Oracle Database. In this session learn efficient techniques for connection management, statement handling, and more. If you want to use Python and Oracle Database, this session is for you. Basic programming skills in any language are required

Get hands-on and learn the features of the Python cx_Oracle interface for Oracle Database. In this session learn efficient techniques for connection management, statement handling, and more. If you want to use Python and Oracle Database, this session is for you. Basic programming skills in any language are required.

Recent years have shown an upshift of open source technologies with an evident increase in hybrid applications from licensed and proprietary tools. One such popular technology is Python programming language, which has made its way to the top. Most of its popularity can be attributed to the variety of options it provides for visualization and machine learning alongside the application development and automation. This article will primarily focus on how Python’s graphing libraries can be used to understand data from a database administrator’s (DBA’s) perspective.

This talk is all about how an Oracle DBA has been using the Python programming language in his work and why Python might be a good language for other DBAs to use. There are hundreds of programming and scripting languages. Why Python? Also, database administrators are not full time programmers. Should they learn a programming…

For a DBA the occasional need to script outside the database is necessary. Python works well for simple and complex scripting tasks. Learn why you should utilize Python in your scripting arsenal.

Release 3 of Enterprise Manager gives the command line interface for EM a distinct advantage by moving the EMCLI functionality into Jython, a Java implementation of the Python programming language. This session will provide an introduction to Python and give attendees a crash course in the newest version of EMCLI so they can get started…