Computer Vision
principles and practice
A math-first approach to learning computer vision in a classroom setting
Computer Vision
principles and practice
A math-first approach to learning computer vision in a classroom setting
The intended audience for this course and accompanying workshop are absolute beginners who have an interest in computer vision and the application of artificial intelligence in modern day CV libraries. Some familiarity in Python and / or geometry will be helpful but is not required as the instructor assumes no prior math / programming knowledge for all workshops in the Classroom series.
The lecture is carried out by a Lead Instructor, and adopts a learn-by-building approach. Participants are required to bring their personal laptop to follow each section and write code to solve small challenges procedurally.
CHAPTER 1: Image Transformation
CHAPTER 2: Kernel Convolutions
CHAPTER 3: Edge Detection
Quiz and Certification
The workshop will be delivered in English. Participants will learn in a classroom setting by following the lecture with a personal laptop.
An RStudio-certified instructor and machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide) for three years running, and boasts certifications from RStudio, Microsoft, MongoDB, Neo4J Database, Stanford University, John Hopkins University, among others.
Prior to Algoritma, he has 8 years of working experience, including a stint as in-house consultant to several public-trading companies from his time staying in China, Japan and Singapore. He is today an active trainer and consultant for various companies in the financial industry. He has guest lectured in various campuses: Binus, NUS (National University of Singapore)’s The Logistics Institute, University of Indonesia, Universitas Gadjah Mada (UGM), Binus, Institute of Technology Bandung (ITB), Telkom University etc. Courses he authored are offered also in Singapore through Ngee Ann Polytechnic.
Samuel is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies, and among the first to be certified in RStudio’s program. Technical committee member and competition judge on Finhacks 2018, the largest Machine Learning competition of the year organized by PT. Bank Central Asia (BCA) and DailySocial.