From daily communication to personal financial planning, technology is heavily influencing our daily lives. In this Coding Workshop, you will be introduced to how Gmail utilises machine learning to improve their spam mail detector to enhance user experience. It will equip you with the know-how for understanding some coding techniques using Python so you will understand how machines understand human languages.

Key Takeaways

• What is the basic steps of machine learning and bridge the gap between programming and finance
• Understand how machines can process and analyse different human languages
• Core concepts of supervised learning and unsupervised learning
• You’ll learn how a basic data model is structured with the fundamental principles of data science.
• How to deploy a machine learning applications to distinguish spam mail from your inbox

Preparation and Pre-requisites

• This is a class for beginners; no prior knowledge is required.
• Please bring along a laptop (Mac or Windows)with you.

Health and safety measures

• Please wear face-covering at all time.
• Temperature check upon entry to the workshop.
• You will be asked to sign a Health and Travel Declaration form declaring that you have not visited any of the countries and regions concerned.

About Preface Coding

Preface Coding is an award-winning coding school for students of all ages and occupations. Since 2018, our programs have trained educators at MIT, international corporates as well as students from London and Hong Kong.

We provide training in Full Stack Programming as well as Data Science in 1-on-1 or group format. Our 1-on-1 training is fully personalised to the levels and goals of every student by machine learning. Designed for complete beginners, our coding boot camp provides a 16-hour intensive training for anyone who needs a steroid shot for their programming skills.

For all course details please visit: https://www.preface.ai

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*Please note that Preface reserves the right to use any photographs, videos or audios taken from workshops for marketing or internal use. Should you have any problems, please contact us at support@preface.education.