Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
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Byte-Sized Deep Learning Series: Understanding Language
Duration: 90 minutes Code: BDT151 Category:This 90-minute session will explore the use of deep learning and the role of recurrent neural networks in language understanding.
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Byte-Sized Deep Learning Series: Image Recognition
Duration: 90 minutes Code: BDT149 Category:This course is for those who are interested in gaining an understanding of how deep learning is used to recognize and classify images
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Byte-Sized Deep Learning Series: Introducing Neural Networks
Duration: 90 minutes Code: BDT148 Category:This course is for those who would like to understand how to apply deep learning to common natural language understanding tasks.
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Scraping and Sourcing Data with Python
Duration: 1 Day Code: BDT120 Category:The ability to locate and acquire important data is a valuable skill for doing data analysis and data science.
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Python Data Cleaning
Duration: Half Day (3 hours) Code: BDT119 Category:When doing data science and data analysis, in order to achieve your purpose, it’s important to have cleaned and well-prepared data to learn from.
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Advancing into Data Analytics from Excel to Python
Duration: 1 Day Code: BDT117 Category:Excel users will review the foundations of data analytics using Excel and then transfer and advance that knowledge to perform a complete data analysis using the Python programming language.
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AI/ML Byte-Sized Series: Machine Learning Introduction
Duration: 90 Minutes Code: BDT115 Category:A short session indented to understand machine learning, what is involved in doing machine learning development. This session is an initial step to getting started with machine learning development using python.
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Python for Data Science
Duration: 1 Day Code: BDT20 Category:Python is the language of data science and this Python for Data Science class will expose you to the most important libraries (i.e., NumPy, Pandas, Matplotlib, and Scikit-learn) that will enable you to effectively do data science using Python.
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Fundamentals of Python Programming
Duration: 2 Days Code: BDT19 Category: Software ProgrammingThis course you will learn the various mathematical and string operations, in addition to Python’s various data structures. You’ll also learn how to effectively communicate in Python using statements and how to use .py files.
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Applied Machine Learning using Python and Apache Spark
Duration: 3 Days Code: BDT10 Category:This course will provide you with a thorough understanding of Machine Learning concepts, terminology and usage.