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 ML Series: Data Exploration and Analysis
Duration: 90 Minutes Code: BDT175 Category:This brief session will provide exposure to both data exploration and data analysis and their contributions to effective machine learning.
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Byte-Sized ML Basic Series: Machine Learning Model Optimization
Duration: 90 Minutes Code: BDT183 Category:A short session to review techniques for optimizing machine learning model performance.
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Byte-Sized ML Basic Series: Machine Learning Model Deployment
Duration: 90 Minutes Code: BDT182 Category:A short session exploring different ways to deploy machine learning models and some of the tools involved.
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Byte-Sized ML Basic Series: Recommendation Systems
Duration: 90 Minutes Code: BDT181 Category:A short course on understanding what recommendation systems are. Understand the different types of recommendation systems and the concept of collaborative filtering.
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Byte-Sized ML Basic Series: Linear Regression Model
Duration: 90 Minutes Code: BDT179 Category:In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data.
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Byte-Sized ML Series: Classification Algorithms
Duration: 90 Minutes Code: BDT178 Category:In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data.
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Introduction to Statistical Analysis with R
Duration: 2 Full Days Or 4 Half Days Code: BDT154 Category:This course will provide an introduction to statistical analysis and data modeling.
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Jupyter Notebook for Effective Data Analysis and Collaboration
Duration: Half Day Code: BDT153 Category:This course will help you to become familiar with the popular Jupyter Notebook environment and all of its features.
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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.