Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
D
H
M
S
-
AI Byte-Sized Series: Data Exploration and Analysis
Duration: 90 Minutes Code: BDT74 Category:A short session indented to get started with exploring and analyzing data prior to applying the data to build Machine Learning models. Additionally, we will learn about popular tools used to perform such analysis.
-
AI Byte-Sized Series Classification Algorithm
Duration: 90 Minutes Code: BDT73 Category:A short session indented to get started with Classification Algorithm to classify structured data and make predictions.
-
Getting Started with Machine Learning using Apache Spark
Duration: 90 Minutes Code: BDT68 Category:This course teaches how to get started with Machine Learning in Apache Spark environment. This course is intended for data scientists and software engineers.
-
Real World Use cases of AI and Data Science
Duration: Half Day Code: BDT67 Category:This Real World Use cases of AI and Data Science Lecture will expose you to real-world applications of data science and why it’s become such an integral part of business and academia.
-
Data Science & Image Processing for Healthcare
Duration: 3 Days Code: BDT47 Category:Data science and digital image processing are becoming an increasingly integral part of health care. This course will expose you to many of the ways that data science is used to extract innovative and actionable insights from healthcare-related datasets and medical imaging.
-
How to think like a data scientist
Duration: 2 Days Code: BDT50 Category:This session addresses these questions among others, it discusses the basics of data science and the Data scientist mindset involved in problem solving using data.
-
Artificial Intelligence for Text, NLP and Forecasting
Duration: 3 Days Code: BDT6 Category:Most of the data collected these days are unstructured. A large and vital part of this unstructured data is in a text format. AI and Deep Learning techniques enable the use of text for a wide range of applications including language understanding and translation.
-
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.
-
Applied Data Science using Python Libraries like Pandas, Matplotlib and Scikit-Learn
Duration: 3 Days Code: BDT4 Category:This Applied Data Science using Python course will provide you with a thorough understanding of each of the key Python libraries used for data science.
-
Deep Dive Deep Learning
Duration: 3 Days Code: BDT5A Category:This Deep Dive into Deep Learning class will provide you with a solid understanding of neural networks and their contributions to deep learning.