This book is perfect for you if you've undertaken at least one course in machine learning and have a modest functional proficiency in Python (meaning you can create programs in Python when supported by examples). Many of our readers will be undergraduates at university studying computer science, statistics, mathematics, physics, biology, chemistry, marketing, and business. Deep learning technologies are being applied to all the professions that these degrees prepare you for, and this book is a great way to learn skills that will be applicable to your success. Postgraduates will appreciate the instruction level, too, as the projects selected are directly applicable to the modern job market, from tech start-ups to enterprise applications.
Python Deep Learning Projects is focused at the core of the data science pipeline – model building, training, evaluation, and validation. Additional pre- and post-data science engineering processes are required in the data pipeline for production applications that we cannot address here due to space considerations, but that we are looking to address in a future publication.
