What we’re about
* What your Meetup Group is about?
The focus of this Meetup group is to foster knowledge in the area of Big data and AI/ML/DL. Our goal is to share and educate people on varied topics within the Big data and Artificial Intelligence space.
* Who should join: Describe your ideal members?
Software Professionals - Anyone curious and interested in learning about Big data and AI/ML/DL.
It would range from people who are just curious George to folks who want to take Big data as profession/career.
Most of the sessions would be Webinar so location should not be a constraint for people to join.
* Why they should join: To learn, share, or have fun
Our passion is to help the world be more informed through these knowledge sharing and education sessions
* What members can expect: Describe typical activities that will foster in-person, face-to-face connections
This group is to foster learning of Big data and Artificial Intelligence technologies.
Upcoming events (4+)
See all- ChatGPT Accelerator: Elevating Research and Insight StrategiesLink visible for attendees$199.00
Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
Description
Advance your ChatGPT skills with hands-on training in Deep Research, ChatGPT Canvas, and AI-powered data analysis. Learn to boost productivity, enhance research, and extract insights¿all through real-world use cases and interactive exercises. - Advancing into Data Analytics from Excel to PythonLink visible for attendees$299.00
Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.
Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
Description:
This six-hour session 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.
Prerequisite: Learners should have an understanding of Basic Programming and Excel.
You will have the opportunity to learn how to conduct exploratory data analysis, data visualization and hypothesis testing, and how to use Python to access and manipulate Excel files. At the end of the course, you will be able to perform a complete data analysis using Python.
Learning Objectives:
During this course, you will have the opportunity to learn how to:- Understand the Foundations of Analytics in Excel
- Explore Variables in Excel
- Understand Exploratory Data Analysis
- Understand the Foundations of Inferential Statistics and Hypothesis Testing
- Use the Python Programming Language for Data Analysis
- Access Excel Files Using Python
- Perform Data Visualization and Exploration in Python
- Perform More Efficient and Deeper Data Analyses using Python
- Explore Correlation and Linear Regression in Excel and Python
- Use Python to Manipulate Excel Files and to perform Machine Learning
Date:
- Thu Jul 17, 1:00 pm to 4:00 pm
- Tue Jul 22, 1:00 pm to 4:00 pm
- Creative Applications for Artificial IntelligenceLink visible for attendees$199.00
Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
This session will provide a non-intimidating introduction to Artificial Intelligence. We’ll discuss the differences between AI and Machine Learning, and we’ll delve into the technology behind AI, including neural networks and Deep Learning.
The lecture will discuss how machines learn and why data is so important. We'll talk about building AI projects and walk through a brief demonstration. We’ll also look at some of the amazing things that AI can do, and we’ll discuss how to spot opportunities for AI in your organization.
Structured Activity/Case Studies:
Demonstration: AI using Google Cloud Platform
Learning Objectives- Understand the differences among AI, Machine Learning, and Deep Learning
- Understand how machines learn
- Understand the importance of data and how to acquire appropriate data
- Understand AI strategy and building AI projects
- Recognizing opportunities for AI
- Understand some of the tools employed in executing AI
Topic Outline
- AI, Machine Learning and Deep Learning
- How machines learn and the importance of data
- Shallow vs. Deep Neural Networks
- Convolutional Neural Networks and use cases
- Recurrent Neural Networks and use cases
- Demonstration - AI using Google Cloud Platform
- Examples of AI in the real world
- Identifying opportunities for AI in your world
- Next steps
