Saleh Al-Khalifa is the author of Machine Learning in Biotechnology and Life Sciences we got the chance to sit down with him and find out more about his experience of writing with Packt.
Q: What is/are your specialist tech area(s)?
Saleh: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing
Q: How did you become an author for Packt? Tell us about your journey. What was your motivation for writing this book?
Saleh: When I first started learning about the fields of machine learning and their applications in biotechnology and life sciences, it was difficult finding comprehensive introductory books and resources. To help other scientists and engineers familiarize themselves with the field, I decided to compile all of my research, my projects and my graduate work together into this publication.
Q: Did you face any challenges during the writing process? How did you overcome them?
Saleh: The hardest part of the writing process was balancing the amount of code and scientific application to include within the book. The objective was to appeal to those who are just getting started all the way to executives wishing to bring this subject into their organization.
Q. What’s your take on the technologies discussed in the book? Where do you see these technologies heading in the future?
Saleh: The field of artificial intelligence has been one of the main drivers of emerging technologies; it has impacted every industry and every field of work, and I believe it will continue to play an increasingly relevant role in development going forward.
Q: Why should readers choose this book over others already on the market? How would you differentiate your book from its competition?
Saleh: This book was specifically written to appeal to scientists and engineers looking to gain a strong foundation in the applications of machine learning in their fields of work. To my knowledge, this is the first book to provide a comprehensive view of how data science can be applied to more traditional scientific areas.
Q. What are the key takeaways you want readers to come away from the book with?
Saleh: Machine learning and its relevance in the scientific field; Applications of deep learning in biotechnology; Integrating models with the cloud; Understanding how to quickly get started in the field
Q. What advice would you give to readers learning tech? Do you have any top tips?
Saleh: Keep reading, keep learning, stay relevant.
Q. How would you describe your author journey with Packt? Would you recommend Packt to aspiring authors?
Saleh: Yes I would.