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PYTHON POWERED INTELLIGENCE AND ML

AUTHOR(S) -

Dr. GAGANDEEP KAUR

DOI – 10.61909/isbn.978-81-966743-6-6.amkedtb102301

Genre/Subject – PYTHON, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE

Scope – MCA 3rd and 4th semester

Book code – AMKEDTB102301    pgs: 496

ISBN(P) – 978-81-966743-7-3

ISBN(E) – 978-81-966743-6-6

Published – 22-10-2023

EDITORS -

Ms. HARSHITA JAIN, Mr. PRAKASH MARAVI, Ms. KAMINEE PACHLASIYA, Mr. ANANDBABU GOPATOTI

AUTHOR(S)

Dr. GAGANDEEP KAUR

Dr. Gagandeep Kaur is working as an Assistant Professor in the Department of Computer Applications at CT Group of Institutions, Shahpur Campus, Jalandhar. She has 15 years of teaching experience and 2 years of industrial experience. She has a strong academic background, having been awarded the degree of PhD from GNA University Phagwara, holding a Master of Computer Applications (Honours) from Apeejay Institute of Management (Technical Campus). She completed her Bachelor of Computer Applications from Apeejay Institute of Management and Technology Jalandhar and Diploma in French Language from Alliance Francaise Chandigarh.

With a passion for research, Dr. Gagandeep Kaur has published numerous research papers in prestigious national and international journals. She has also presented research papers in various national and international seminars and conferences and has been an observer, examiner, and evaluator for university examinations on several occasions. Her areas of expertise are Machine Learning, Data Communication and Networks, Embedded Systems, Microprocessors, Assembly Language, Database Administration, Data Warehousing, Software Engineering, System Programming, Neural Networks, Soft Computing, Artificial Intelligence, Metaheuristic Algorithms, System Analysis and Design, Linux OS, Object Orientated Analysis and Design and Information Security.

Dr. Gagandeep Kaur’s achievements have been widely lauded throughout her career. Her passion for and dedication to computer science and engineering continue to be the driving forces in her career development.

    https://orcid.org/0009-0005-7684-6162

ABOUT BOOK / ABSTRACT

Python  Powered Intelligence And ML is designed to be your essential companion in your journey through the world of Artificial Intelligence and Python programming. We understand the importance of building a solid foundation in AI concepts, as well as mastering the tools and techniques needed to implement AI solutions effectively.

What You’ll Find Inside:

  • Foundation of Artificial Intelligence: In Chapter 1, we lay the groundwork for your AI education, providing a strong understanding of the fundamentals.
  • Knowledge Presentation: Chapter 2 delves into how knowledge is represented in AI systems, a crucial element for creating intelligent machines.
  • Informed / Heuristic Search Strategies: Chapter 3 explores strategies for problem-solving and decision-making, crucial in the AI domain.
  • Natural Language Processing: In Chapter 4, we dive into the world of language understanding and processing, a key area of AI.
  • Soft Computing: Chapter 5 introduces the concept of soft computing, which enables AI systems to work with uncertainty and imprecision.
  • Neural Networks: Chapter 6 covers neural networks, a fundamental technology in modern AI, inspired by the human brain.
  • Fuzzy Systems: Chapter 7 is all about fuzzy logic, which allows AI systems to deal with vagueness and uncertainty.
  • History of Genetic Algorithms: Chapter 8 takes you through the fascinating history and principles of genetic algorithms.
  • Regression: In Chapter 9, we explain regression techniques for predictive modeling, a crucial tool in AI.
  • Python Programming: The second part of Python  Powered Intelligence And ML focuses on Python, one of the most versatile and popular programming languages.
  • Numpy: Chapter 11 introduces the powerful library for numerical computing in Python.
  • Pandas: In Chapter 12, we explore Pandas, a tool for data manipulation and analysis.
  • Matplotlib: Chapter 13 introduces you to data visualization using Matplotlib.
  • Regression: We revisit regression in Chapter 14, providing more insights and applications.

Our aim is to empower you with the knowledge and skills to excel in Artificial Intelligence and Python programming. Whether you are a beginner or an experienced programmer, this book is your go-to resource for AI and Python. We hope you enjoy this journey with us, and may it inspire you to explore the exciting world of Artificial Intelligence and Python programming. Happy learning!

EDITORS

Ms. HARSHITA JAIN

Harshita Jain is an accomplished Assistant Professor in the Department of Computer Science Engineering, with extensive research experience and notable achievements in her field. She has a strong academic background, persuing her phd from UIT RGPV, holding a Master of Technology (MTech) degree in Computer Science and Engineering from Madhav Institute of Science and Technology. She completed her Bachelor of Engineering (BE) in Information Technology from the University Institute of Technology – RGPV.

Harshita has a diverse range of experience in the field of education and research. She served as an Assistant Professor at Laxmi Narain College of Technology (LNCT) and Maulana Azad National Institute of Technology (MANIT) in Bhopal. Additionally, she worked as a Project Manager at YAY, an Edtech company with Girlscript. Currently, she is associated with Sagar Institute of Research & Technology (SIRT) as an Assistant Professor in the Department of Computer Science Engineering.

With a passion for research, Harshita has published numerous research papers in prestigious national and international journals. Her research interests include pattern warehousing, nature-inspired algorithms, therapeutic models, data mining, IoT, and more. She has also contributed as a chapter author in technical books and served as a reviewer for esteemed journals. Furthermore, she has been recognized as an editorial board member for several journals and has delivered expert lectures on machine learning, IoT, and related topics. She has also authored 1 book, hold 3 copyrights and 1 Indian Patent based on IOT.

Harshita’s academic achievements are complemented by her active participation in professional organizations. She is a lifetime member of the International Association of Engineers (IAENG) and Research Foundation of India (RFI). She also holds the position of MP STATE SDG Ambassador for UNaccc and has been recognized as a GDC FieldOps Cadet by the United Nations. She has been listed by Fox story India under ” 50 Powerful women of INDIA” 2022, She has also been the recipient of many awards like Young scientist award, Dynamic professor of the year and many more.

Throughout her career, Harshita Jain has been acknowledged for her outstanding contributions. Her commitment to excellence and dedication to her field continue to drive her professional growth and contribute to the advancement of computer science and engineering.

 https://orcid.org/0000-0002-7492-7779

Mr. PRAKASH MARAVI

Mr. Prakash Maravi,, a Senior Lecturer at Samrat Ashok Technological Institute Polytechnic College in Vidisha, Madhya Pradesh, India, brings a wealth of professional experience spanning over 18+ years, with a significant focus on academia. His roles include teaching undergraduate courses and active involvement in various educational activities. He also serves as the Coordinator of the Institution’s Innovation Council (IIC) Startup, emphasizing his dedication to fostering innovation and entrepreneurship. Mr. Maravi’s academic engagements extend to attending numerous seminars, workshops, faculty development programs (FDPs), and conferences, reflecting his quest for knowledge and research. He is a prolific researcher, with a substantial body of work, including research papers, book chapters, and abstracts presented and published in both national and international conferences and journals. His main research interests encompass the dynamic domains of Data Science, Machine Learning, Natural Language Processing, Artificial Intelligence, Deep Learning, and Big Data. Mr. Prakash Maravi’s dedication and research contributions continue to shape the fields of data science and artificial intelligence, inspiring the academic community and beyond.

Ms. KAMINEE PACHLASIYA

Ms. Kaminee Pachlasiya is an Assistant Professor in the Department of Computer Science & Engineering at Sagar Institute of Research & Technology Excellence (SIRTE) in Bhopal, India. With over five years of experience in teaching and research, she is a dedicated academic professional. Her primary research alignment focuses on critical areas such as cyber security, dark web crime analysis, and investigation techniques, which are increasingly important in the field of computer science and technology. Ms. Pachlasiya actively participates in Seminars, Workshops, and Faculty Development Programs (FDPs), reflecting her commitment to continuous learning and professional growth. Her research interests extend to Machine Learning, Natural Language Processing, Artificial Intelligence, and Image Processing, showcasing a dynamic and inquisitive approach to exploring emerging technologies and knowledge advancement.

Mr. ANANDBABU GOPATOTI

Mr. Anandbabu Gopatoti is a Researcher in the Department of Electronics & Communication Engineering at Hindusthan College of Engineering and Technology, Coimbatore and at Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu, India. He has completed his Master of Technology in Electronics & Communication Engineering in 2010 from Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh. He holds his Bachelor Degree in Bachelor of Technology in Electronics & Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad, Telangana. He is the author of more than 27 journal paper publications in national and international journals. He has granted patents in India, United Kingdom, and South Africa. His research interests include Digital Image Processing, Digital Signal Processing, Artificial Intelligence, Satellite Communications and Filters Design.

 https://orcid.org/0000-0001-6511-3055

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