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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. --
Liek Gaurav
A portrait of my family This chapter tells about the family Gaurav grew up with. Basically, about his family background, memoirs, and the prominent personalities who mold his consciousness. It tells about his recollections of the big family and how it was like to be in that family. What values they shared and how he was reared. The poignant days of provincial life This chapter tells about the greeneries and the environment of the provincial life he grew up with. This chapter captures recollection of the typical provincial life depicting farm life. What were the tasks Gaurav used to do? How he looked at them from his perspective as a boy back then? A leap to the big city This chapter narrates...
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 Explainable AI (XAI) with Python
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces. Key FeaturesLearn explainable AI tools and techniques to process trustworthy AI resultsUnderstand how to detect, handle, and avoid common issues with AI ethics and biasIntegrate fair AI into popular apps and reporting tools to deliver business value using Python and associated toolsBook Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relation...
Java in depth
Providing comprehensive coverage of all the concepts of Core Java, this user-friendly book adopts a simple language, crystal clear approach, and a straightforward comprehensible presentation supported by several examples and self-explanatory analogies. --
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.
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...
