دانلود کتاب یادگیری ماشین و تجزیه و تحلیل داده های بزرگ

It is our privilege and pleasure to welcome you to the 2nd International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2022 held on March 23–24, 2022, at IIT Patna, India.
As an established international event for the machine learning and big data community, our conference showcases research on fundamentals and applications of big data analytics and machine learning. The submissions underwent a rigorous peer review process by the strong Program Committee that included experts from all over the world.
We report 30% acceptance rate for regular papers with additional 30% of submissions that were accepted as short articles.
The main conference included over four technical sections that focused on fundamentals of AI and data science applications in mechanical engineering, big data in biology, Internet of Things, networks and security, and artificial intelligence and machine learning.
Importantly, this conference basically focused on advanced automation and com-putational optimization of machine learning in all engineering-based applications as well as included specific plenary sessions, invited talks, and paper presentations focusing on the applications of ML and BDA in the fields of computer, electronics, electrical, mechanical, chemical, and textile engineering; healthcare and agriculture; business and social media; and other relevant domains.
We would like to acknowledge the many individuals and organizations that have made our conference possible. The hard work and support of the members of the Organizing Committee allowed us to deliver a successful conference program on time.
We are very grateful to the members of the Program Committee who tirelessly and timely reviewed submissions from a broad range of machine learning topics and many application areas.
We also thank all the authors who decided to submit fruits of their labor to ICMLBDA 2022. We very much appreciate your support and your trust in our handling of your manuscripts. We hope that you will consider submitting to ICMLBDA again next year. Last but not least, our thanks go to the publisher Springer PROMS and the International Association of Academicians (IAASSE) for their generous support.