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Learn AI with Python
Build AI applications using Python to intelligently interact with the world around you. KEY FEATURES ● Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to Python. ● Includes graphical illustrations of Natural Language Processing and its implementation in NLTK. ● Covers deep learning models such as R-CNN and YOLO for object recognition and teaches how to build an image classifier using CNN. DESCRIPTION The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications. This book introduces you to a...
Automated Machine Learning in Action
Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. --
Proceedings on International Conference on Data Analytics and Computing
This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China, held during May 28–29, 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are postgraduate students, researchers and academic professionals.
Hands-on Supervised Learning with Python
Hands-On ML problem solving and creating solutions using Python KEY FEATURES _Introduction to Python Programming _Python for Machine Learning _Introduction to Machine Learning _Introduction to Predictive Modelling, Supervised and Unsupervised Algorithms _Linear Regression, Logistic Regression and Support Vector MachinesÊ DESCRIPTIONÊ You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them.Ê We will focus on learning supervised...
The Pursuit of Reputation: Unlocking the Power of Public Relations
Discover the art of thriving in India's ever-shifting PR landscape with insights from 75+ seasoned experts who will help you chart a path towards modern-day brand management in uncertain times. This is a new era for public relations. Never before has reputation been so important, and never before so fraught. At a time when thoughtfulness, transparency and authenticity are seen as key tenets, navigating India’s unique cultural, social and economic diversities poses a challenge both for fresh professionals and seasoned leaders. Added to this are emergent technologies across fields. PR professionals have but one choice: adapt to these far-reaching transformations and survive. The Pursuit of R...
Pragmatic Machine Learning with Python
An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations KEY FEATURESÊ - A balanced combination of underlying mathematical theories & practical examples with Python code - Coverage of latest topics like multi-label classification, Text Mining, Doc2Vec, Word2Vec, XMeans clustering, unsupervised outlier detection, techniques to deploy ML models in production-grade systemsÊ with PMML, etc - Coverage of sufficient & relevant visualization techniques specific to any topic DESCRIPTIONÊ This book will be ideal for working professionals who want to learn Machine Learning from scratch. The first chapter will be an introductory chapter to make readers...
Recent Trends in Intelligent and Emerging Systems
It is a compilation of research works related to intelligent and emerging system design using a range of tools including soft-computation. The book includes reviews, actual designs, research works, discussion and experimental results related to works in the areas of communication, computation, vision sciences, bio-inspired system design, social dynamic, related process design, etc. The audience of this book is expected to be researchers who deal with intelligent and emerging system design through mathematical and computational modeling and experimental designs. Specifically, audiences that are broadly involved in the domains of electronics and communication, electrical engineering, mathemati...
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
Tourism In India- Status, Challenges And Opportunities
Dr. Manoj Srivastava is a PhD from Manipal University Jaipur.Over three decades of experience in Hospitality Industry & Academia, Food Production Research,resulting made9 culinary based Limca Book of World Records. For which he is honored with Honorius Causa form England. He join the Hospitality Industry in 1990 when he joined the Taj Group of Hotels. He rose quickly to product development and research. Joined Australian Bakels as National Support Manager. At Present associated as Professor& Principal,NIMS University, School of Hotel Management. He is authored a Book “The Art of research in Hospitality” and wrote many research papers in National and International journals of repute.He is on the board of many Journal as Editorial Board member & Reviewer of Hospitality & Tourism management journals.
