Oliver Theobald works as a Senior Operations Specialist for Alibaba Cloud where he works with cloud architects, machine learning engineers and product managers to produce content for customers regarding AI and cloud-based solutions in big data, smart cities, and security. He is also a part-time Instructor for

Oliver is a graduate of the Royal Melbourne Institute of Technology and is an Australian national of British and Austrian descent. Oliver has been living in Asia since 2011. He currently works in both Hangzhou and Beijing, China.

Oliver writes regular technical content on the topics of cloud computing, ICP registration, artificial intelligence, e-commerce, and machine learning. His programming language of choice is Python and in his free time he enjoys studying Chinese, selecting his Fantasy Premier League team each week (in the process of developing a quantitative model to predict a players future financial value), and listening to historical fiction and non-fiction audiobooks. 


Machine Learning for Absolute Beginners (Second Edition) has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.
This title opens with a general introduction to machine learning from a macro level. The second half of the book is more practical and dives into introducing specific algorithms applied in machine learning, including their pros and cons.


what reader are saying


Element Style
Accent Color