Machine Learning Ai
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Artificial Intelligence (AI) and Machine Learning Basics
Author: Prof. (Dr.) Kodeeswara Prabu. P
language: en
Publisher: Xoffencer International Book Publication House
Release Date: 2025-05-23
The advent of machine learning (ML) and artificial intelligence (AI) has been revolutionary in many fields, and it is changing the way people use technology and solve issues. Enabling computers to think like humans is the basic idea behind artificial intelligence. This will allow them to perform things like understand language, see patterns, and make judgments. The goal of machine learning, a branch of AI, is to create algorithms that can learn to perform better and better over time without any input from a person or coding at all. Automating routine procedures, simplifying difficult data analysis, and speeding up developments in healthcare, finance, and other fields are just a few of the many possible outcomes of a solid grounding in AI and ML. Here are a handful of instances. Delving into the principles of these powerful technologies, we will investigate their basic ideas, uses, and the problems they bring. This will provide us with the knowledge needed to traverse the quickly developing world of artificial intelligence and machine learning. We must have a firm grasp of the underlying concepts of these technologies as we go farther into the world of artificial intelligence and machine learning. Algorithms, data, and the many forms of AI are some of the foundational ideas that we shall explore first. We shall differentiate between wide AI, which seeks to develop more general cognitive abilities, and narrow AI, which is primarily focused on completing specific tasks. We will also go over the pros and cons of each of the different machine learning methods, including supervised, unsupervised, and reinforcement learning. On this tour, we will see how AI and ML are already part of our daily lives through the exhibition of real-world examples. Various applications in healthcare and finance, as well as virtual assistants and recommendation systems, will serve as examples. We will examine every possible ethical concern and obstacle that may develop from their application, including data privacy, algorithmic bias, and the need for transparency in decision-making processes.
Artificial Intelligence and Machine Learning
Author: Dr. Deva Rajashekar, Mr. Venu Aluri, Dr. Tenali Naga Mani, Mr. Garigipati Rama Krishna
language: en
Publisher: RK Publication
Release Date: 2025-04-29
This book explores the fundamentals and applications of Artificial Intelligence and Machine Learning. It covers key concepts, algorithms, and real-world use cases, offering readers a comprehensive understanding of intelligent systems. Ideal for students, professionals, and enthusiasts seeking to grasp the impact and potential of AI and ML in modern technology.
Artificial Intelligence and Machine Learning
Author: Andrew D. Chapman
language: en
Publisher: The Autodidact’s Toolkit
Release Date: 2023-12-06
Are you ready to embark on a journey into the future of technology? Dive into the world of Artificial Intelligence (AI) and Machine Learning (ML) with this comprehensive guide that demystifies the complex and empowers you to harness the potential of intelligent machines. Begin your exploration by grasping the core concepts, history, and terminology of AI and ML. Discover the fascinating evolution of these transformative technologies and their real-world impact on diverse industries. Move beyond theory into practical applications. Learn how to build and optimize machine learning models, explore advanced techniques, and gain insights into the revolutionary realm of deep learning. Understand the ethical and societal implications of AI. Tackle issues of fairness, privacy, employment, and regulation, and learn how responsible AI practices can shape a better future. Discover the pivotal role of data in AI and ML. Explore data collection, preprocessing, big data, and visualization, and gain hands-on experience with real-world data science projects. Keep up with the latest advancements in AI technologies and platforms. Explore cloud-based services, edge computing, quantum computing, and the integration of AI with the Internet of Things (IoT). Learn how AI can transform your organization. Develop AI strategies, implement AI in marketing, supply chain, and HR, and gain insights into the future of business in the AI era. This book is your key to unlocking the limitless potential of AI and ML. Whether you're a student, professional, or enthusiast, you'll gain a holistic understanding of these game-changing technologies and be inspired to contribute to their ongoing evolution.