Artificial Intelligence for Beginners: Tools to Learn Machine Learning
Alvin Wan
1:05:23
Description
What really is “artificial intelligence”? “Machine learning”? Let’s cut through the meaningless buzzwords, and talk the real talk.
This class covers must-know topics for AI product managers, ML practitioners, and anyone in between that’s curious about these emerging fields. We’ll cover many topics and takeaways:
- Build a Face Emotion Classifier, to practice using ML concepts.
- What artificial intelligence is and how it relates to machine learning
- How to learn machine learning, with plenty of practice
- Practice breaking down AI products into ML problems. Great for understanding ML news.
- Practice breaking down ML problems. Great as interview practice.
- Understand taxonomies of ML problems
- ML concepts like linear regression, bias-variance, classification, regression, featurization etc.
This class involves minimal amounts of code but does not require any technical knowledge. Regardless of your background, you’ll walk away with the fundamentals for discussing, learning, and practicing machine learning.
Interested in more machine learning? Try my Computer Vision 101 (Applied ML) classes.
Interested in learning how to code? Check out my Coding 101 (Python), OOP 101 (Python), or VR101 (HTML) class.
Interested in data science? Check out my SQL 101 (Database Design) or Data 101 (Analytics) class.
Acknowledgments: B-roll in introduction from shvets productions on pexels.com
What You'll Learn?
- Technology
- Programming
- Python
- Artificial Intelligence
- Coding
- Data Science
- Machine Learning
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Alvin Wan
Instructor's CoursesHi, I'm Alvin
Looking to learn coding? machine learning? Let me help! I was formerly a computer science lecturer at UC Berkeley, where I served on various course staffs for 5 years. I'm now a research scientist in industry, working on cutting edge computer vision. I've designed a few courses to get you started -- not just to teach the basics, but also to get you excited to learn more. Check out the courses on my profile! Or scroll down for a guide to getting started.
Website | Github | YouTube | Twitter | Research
Featured Reviews
"Alvin Wan is a fantastic teacher. The instruction format was just what I was looking for. This is fun due to the format... Due to Alvin's teaching method I'm not only grasping the content I'm having fun learning."
Rick M., Coding 101: Python for Beginners
"I hated programming when studying. I had no real goal in mind + our teachers were purely theoretical about it. In this lesson I got hooked! ...Would recommend this to everyone like myself."
Johannes W., Coding 101: Python for Beginners
Introducing Guest Teacher Derek Wan
I was formerly an instructor for the largest computer science course at the University of California, Berkeley, where I taught undergraduates for several years and won the Distinguished GSI (graduate student instructor) award . I am now a full-time software engineer working on experimentation platforms at a large tech company based in Cupertino, California. However, I'm still passionate about tech education and decided to start making Skillshare courses to get more people excited about coding! I have more courses in the works, but check out what I have so far by scrolling down.
Featured Reviews
"Derek is an amazing [instructor]. He is not only committed to understanding the material, but is also committed to learning how to better teach it. He always makes time to make sure a student has understood his explanation and goes out of his way to connect with his students and make a personal investment in them."
UC Berkeley undergraduate student (Fall 2018 cohort)
"Derek was always extremely well prepared for every discussion and made it a point to add his own tips and lessons on top of the material already provided... He would teach us any additional material that he thought was relevant or helpful along with the normal material to truly improve our skills."
UC Berkeley undergraduate student (Spring 2020 cohort)
Overall rating: 4.45 / 5.00
(943 submitted reviews over 7 semesters)
SkillShare
View courses SkillShare- language english
- Training sessions 12
- duration 1:05:23
- English subtitles has
- Release Date 2024/02/11
