Kickstart: Building Machine Learning Applications
Seon Young (Developer Specialist Solutions Architect – AWS) : Introduction to Amazon Machine Learning service, Visualization tools and wizards to create machine learning models without having to learn complex ML algorithms and technology. Learn how predictions can be obtained for various application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Samuel Chan (Course Producer – Algoritma) : Introduction to machine learning, code implementations of popular classification methods, and scenario-based examples of machine learning in action.
The big technology trend is to make systems intelligent and data is the raw material. ~ Amod Malviya, CTO at Flipkart
Explore other data science workshops
An introductory workshop for aspiring data scientists and entrepreneurs
Workshops in our KICKSTART series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and simple regression models.
Students are encouraged to bring along their laptop and download the course materials beforehand if they wish to follow along the Code Along exercises. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
Note: Workshops in the KICKSTART series follow a structured course, and re-use many of previous materials from earlier KICKSTART workshops. If you have attended a KICKSTART data science workshop in the past and would like to be exposed to more intermediate-level data science education materials, consider signing up for an Algoritma Membership or attend our Data Science Fundamentals workshops (3-day)
You can obtain a free entry to our KICKSTART series workshops with an active membership. Non-subscribers are welcomed to participate at a cost of IDR50,000.
Studying mathematics, statistics, or a math-related field in a local university? Stand a chance to receive a complimentary student pass by sending us an email. Members of our staff will reach out to verify your scholarship.