Real World Use cases of AI and Data Science
- Created By raju2006
- Last Updated December 26th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Elevate your team's data prowess with our Apache Spark Machine Learning course. Ideal for data scientists and software engineers, this course starts from scratch, teaching key Machine Learning algorithms. No prior knowledge required. Unleash the power of Apache Spark for data-driven success.
Long Description:
Please note the following:
- This is an introductory course on ML using Apache Spark.
- An In-depth coverage of Math / Stats behind Machine Learning is beyond the scope of this course.
- Course is taught using Spark & Python (Pyspark environment).
- Working knowledge of Spark is essential for this course.
Course Code/Duration:
BDT67 / Half Day
Learning Objectives:
After this course, you will be able to:
- Understand the Data Science Field.
- Understand how machines learn
- Recognizing opportunities for AI
- Understand some of the tools employed in executing AI
- Understand the big picture and the importance of data science in business, industry, and technology
- Basic Programming & ML knowledge
- Developers, Business Analysts who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning, Non-technical professionals who want to start a career in Machine Learning.
- Developers, Business Analysts who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning, Non-technical professionals who want to start a career in Machine Learning.
Course Outline:
- Introduction to lecture
- AI, Machine Learning and Deep Learning
- How machines learn and the importance of data
- Understand Natural vs Artificial Intelligence
- Examples of AI in the real world
- Identifying opportunities for AI in your world
- Use cases in Health care domain
- Use cases using NLP (Natural Language Processing)
- What job are at risk due to AI?
- Conclusion: Data Science in the real world, next steps.
Training material provided:
Yes (Digital format)
The curriculum is empty
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