"Meta Learning" documents the key lessons the author—Radek Osmulski—learned on his Deep Learning journey. He learned to program and do Deep Learning through self-study. His achievements include successfully participating in Kaggle competitions and being gainfully employed in various Deep Learning roles for several years now. Among other things, from the book, you'll learn:

• how to learn machine learning efficiently
• the proven strategies to improve as a developer
• how to approach the tools you use for work and why it matters
• how to reason about the hardware you use for best results and to make sure you invest your time where it's worthwhile
• what makes sharing your work so powerful
• one way to reason about finding a mentor
• how to keep in touch with the deep learning community and stay up to date with trends in research for the least amount of work
• an effective way to become employable without a formal background (tailored to the digital age we live in now)
• how to build a habit and why the path of little resistance is the way to go
• one way to find the energy to do Deep Learning All of the above is based on the author's experience. The ideas and strategies that are shared are the ones that worked best for the author, out of many that he tried.