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Charlie Cheng-Jie
- Rate 540 BWP
- Response 1h
540 BWP/hr
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- Computer programming
- Python
- SQL
- Artificial Intelligence
Graduated from UC Berkeley honors CS & DS. Staff on Data C100 and CS 61A for two years. Proficient in introductory CS and DS education, and high school math tutoring.
- Computer programming
- Python
- SQL
- Artificial Intelligence
Lesson location
About Charlie Cheng-Jie
Current AI Engineer at an early-stage AI startup. Born in San Jose and raised in the bustling metropolis of Shanghai, I spent a good part of my formative years amidst its vibrant energy. In my academic pursuits, I have developed interest in generative modeling, AI safety, and curious about AGI problems, hoping to create safer, more responsible, robust AI. There’re quite some topics that I’m currently following & exploring, here’s a few: Trustworthy AI, LLM security, LLM w/ tool use, LLM + Education, AI + Music.
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About the lesson
- Primary
- Junior Secondary
- Secondary School
- +14
levels :
Primary
Junior Secondary
Secondary School
Première
Standard 7
Diploma
Supérieur
Adult Training
Master's Degree
Doctorate
MBA
Early Childhood education
Beginner
Intermediate
Advanced
Professional
Children
- English
- Mandarin
All languages in which the lesson is available :
English
Mandarin
Visual, Intuitive, Inspiring. Gain a better mental picture, instead of headaches. Former Data C100 and CS 61A staff, teach college intro computer science and data science courses. Short intro of Data C100: Combining data, computation, and inferential thinking, data science is redefining how people and organizations solve challenging problems and understand their world. This intermediate level class bridges between Data 8 and upper division computer science and statistics courses as well as methods courses in other fields. In this class, we explore key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making. Through a strong emphasis on data centric computing, quantitative critical thinking, and exploratory data analysis, this class covers key principles and techniques of data science. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.
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Rates
Rate
- 540 BWP
Pack prices
- 5h: 2700 BWP
- 10h: 5400 BWP
online
- 540 BWP/h
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