AI 101: A Beginner’s Guide to Data Science and AI
AI 101: A Beginner’s Guide to Data Science and AI, Machine Learning, Deep Learning and Beyond.
Course Description
Data Science and Artificial Intelligence: The Complete Course
Learn the skills you need to become a data scientist or artificial intelligence engineer
- In-depth coverage of all the essential topics in data science and artificial intelligence
- Hands-on exercises and projects to help you apply your skills
- Learn from experienced instructors who are experts in the field
This course is perfect for anyone who wants to learn about data science and artificial intelligence. Whether you are a beginner or an experienced professional, you will find this course to be informative and engaging.
Here are some of the topics you will learn in this course:
- Introduction to data science and artificial intelligence
- Data collection and preprocessing
- Exploratory data analysis
- Statistical modeling
- Machine learning
- Deep learning
- Natural language processing
- Computer vision
- Ethics and bias in AI
By the end of this course, you will be able to:
- Understand the definitions of data science and artificial intelligence
- Collect and preprocess data
- Explore data and identify patterns
- Fit statistical models and evaluate their performance
- Train and evaluate machine learning models
- Train and evaluate deep learning models
- Implement natural language processing and computer vision
- Understand the ethical considerations of AI
This course is taught by experienced instructors who are experts in the field of data science and artificial intelligence. They will share their knowledge and expertise with you, and help you to learn the skills you need to succeed in this field.
If you are interested in learning about data science and artificial intelligence, then this course is for you. Sign up today and start learning!