Machine Learning Essentials And Applications
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Machine Learning Essentials And Applications
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Author : Mrs. N. Jayasri
language : en
Publisher: RK Publication
Release Date : 2024-07-27
Machine Learning Essentials And Applications written by Mrs. N. Jayasri and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Computers categories.
Machine Learning Essentials and Applications a comprehensive of machine learning's core principles, methodologies, and real-world applications. This book is designed for both beginners and professionals, covering essential topics like supervised and unsupervised learning, neural networks, and deep learning. With clear explanations and practical examples, it connects theory to practice, showcasing machine learning’s impact across industries such as healthcare, finance, and technology. Ideal for readers seeking foundational knowledge and insights into the transformative potential of machine learning in various fields.
Machine Learning Essentials You Always Wanted To Know
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Author : Dhairya Parikh
language : en
Publisher: Vibrant Publishers
Release Date : 2025-07-04
Machine Learning Essentials You Always Wanted To Know written by Dhairya Parikh and has been published by Vibrant Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Business & Economics categories.
· Covers key algorithms and techniques · Ideal for students and professionals · Hands-on implementation included Master the fundamentals of ML and take the first step towards a career in AI! In today’s rapidly evolving world, machine learning (ML) is no longer just for researchers or data scientists. From personalized recommendations on streaming platforms to fraud detection in banking, ML powers many aspects of our daily lives. As industries increasingly adopt AI-driven solutions, learning machine learning has become a valuable skill. Yet, many find the subject overwhelming, often intimidated by its mathematical complexity. That’s where Machine Learning Essentials You Always Wanted to Know (Machine Learning Essentials) comes in. This beginner-friendly guide offers a structured, step-by-step approach to understanding machine learning concepts without unnecessary jargon. Whether you are a student, a professional looking to transition into AI, or simply curious about how machines learn, this book provides a clear and practical roadmap to mastering ML. Authored by Dhairya Parikh, an experienced data engineer who returned to academia to refine his expertise, this book bridges the gap between theory and real-world application. It simplifies the core concepts of ML, breaking them down into digestible explanations paired with hands-on coding exercises to help you apply what you learn. What You’ll Learn: · The fundamentals of machine learning and how it powers modern technology · The three key types of ML—Supervised, Unsupervised, and Reinforcement Learning · How to combine algorithms, data, and models to develop AI-driven solutions · Practical coding techniques to build and implement machine learning models Part of Vibrant Publishers’ Self-Learning Management Series, this book serves as a valuable guide for building machine learning skills, enhancing your expertise, and advancing your career in AI and data science.
R Machine Learning Essentials
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Author : Michele Usuelli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-11-28
R Machine Learning Essentials written by Michele Usuelli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-28 with Computers categories.
If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.
Machine Learning Essentials Algorithms And Applications
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Author : Mrs.Shambhavi
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-04-10
Machine Learning Essentials Algorithms And Applications written by Mrs.Shambhavi and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-10 with Computers categories.
Mrs.Shambhavi, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Ms.Sinchana K.P, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Mrs.Thejaswini D, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Mrs.Geethanjali S.G, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India.
F For Machine Learning Essentials
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Author : Sudipta Mukherjee
language : en
Publisher: Packt Publishing
Release Date : 2016-02-25
F For Machine Learning Essentials written by Sudipta Mukherjee and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-25 with Computers categories.
Get up and running with machine learning with F# in a fun and functional wayAbout This Book- Design algorithms in F# to tackle complex computing problems- Be a proficient F# data scientist using this simple-to-follow guide- Solve real-world, data-related problems with robust statistical models, built for a range of datasetsWho This Book Is ForIf you are a C# or an F# developer who now wants to explore the area of machine learning, then this book is for you. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.What You Will Learn- Use F# to find patterns through raw data- Build a set of classification systems using Accord.NET, Weka, and F#- Run machine learning jobs on the Cloud with MBrace- Perform mathematical operations on matrices and vectors using Math.NET- Use a recommender system for your own problem domain- Identify tourist spots across the globe using inputs from the user with decision tree algorithmsIn DetailThe F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is the book you want.Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data.Style and approachThis book is a fast-paced tutorial guide that uses hands-on examples to explain real-world applications of machine learning. Using practical examples, the book will explore several machine learning techniques and also describe how you can use F# to build machine learning systems.
R Machine Learning Essentials
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Author : Michele Usuelli
language : en
Publisher:
Release Date : 2014-11-28
R Machine Learning Essentials written by Michele Usuelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-28 with Computers categories.
If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.
Machine Learning And Data Science
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Author : Prateek Agrawal
language : en
Publisher: John Wiley & Sons
Release Date : 2022-08-09
Machine Learning And Data Science written by Prateek Agrawal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-09 with Computers categories.
MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.
Ai Machine Learning Essentials For Absolute Beginners
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Author : Dr Israel Carlos Lomovasky
language : en
Publisher: Independently Published
Release Date : 2025-05-09
Ai Machine Learning Essentials For Absolute Beginners written by Dr Israel Carlos Lomovasky and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Unlock the Power of Artificial Intelligence - No Experience Needed! Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required. Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters. No prior experience required Real-life examples from 2025 and beyond Step-by-step machine learning project you can build today Covers ethics, careers, tools, policy, and the future of AI Includes both code and no-code solutions Whether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering. Start your AI journey today. The future belongs to those who understand it. Introduction: The AI Revolution - How Machines Learn Inspiring stories of AI in daily life The need for AI literacy in today's world Chapter 1: The AI Revolution - How Machines Learn AI applications you already use Why AI is transforming society Chapter 2: What is Artificial Intelligence? Definitions and history AI vs. ML vs. DL Types of AI systems Chapter 3: Fundamentals of Machine Learning Supervised, unsupervised, reinforcement learning Data, features, training/testing Chapter 4: Data and Algorithms How data powers AI What algorithms really are Real-world applications and common challenges Chapter 5: Tools of the Trade Python, Jupyter, Colab, scikit-learn, TensorFlow No-code platforms like Lobe, Teachable Machine Setting up your environment Chapter 6: Project - Build Your First Classifier A step-by-step beginner project Classify images using code or no-code tools Chapter 7: Deep Learning Made Simple Neural networks explained Use cases and model training basics Tools like Keras and PyTorch Chapter 8: AI in the Real World - Case Studies Healthcare, finance, transport, retail, agriculture Mini-stories from 2020-2025 Chapter 9: Ethical AI and Society Bias, fairness, transparency Regulation, privacy, accountability Chapter 10: AI for Everyone - Education and Policy AI in schools and careers National strategies and civic participation Chapter 11: The Road Ahead in AI Generative AI, quantum computing, edge AI Future trends, ethical horizons, and lifelong learning Appendices and Further Resources Glossary of AI terms No-code and coding tools Recommended books, courses, and datasets Public domain image sources About the Author Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
Artificial Intelligence And Deep Learning Essentials
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Author : James Russell
language : en
Publisher: Independently Published
Release Date : 2018-05-12
Artificial Intelligence And Deep Learning Essentials written by James Russell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-12 with categories.
Get to grips with the essentials of deep learning by leveraging the power of PythonKey Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications.What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who This Book Is For Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. Table of Contents 1. What is artificial intelligence 2. Why is the artificial intelligence important ? 3. Applications of Machine Learning 4. Semantics, Probability and IA 5. Numerical Computation 6. Sequence Modeling, Recurrent and Recursive Nets 7. Autoencoders 8. Markov Chains, Monte Carlo Methods, and Machine Learning
Python Machine Learning Essentials
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Author : Bernard Baah
language : en
Publisher: Independently Published
Release Date : 2024-03-22
Python Machine Learning Essentials written by Bernard Baah and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.
"Python Machine Learning Essentials" by Bernard Baah is your ultimate guide to mastering machine learning concepts and techniques using Python. Whether you're a beginner or an experienced programmer, this book equips you with the knowledge and skills needed to understand and apply machine learning algorithms effectively. With a comprehensive approach, Bernard Baah takes you through the fundamentals of machine learning, covering Python basics, data preprocessing, exploratory data analysis, supervised and unsupervised learning, neural networks, natural language processing, model deployment, and more. Each chapter is filled with practical examples, code snippets, and hands-on exercises to reinforce your learning and deepen your understanding. As the founder of Filly Coder (https: //fillycoder.com), Bernard Baah brings years of experience in machine learning and software development to this book. His expertise and passion for teaching shine through, making complex concepts accessible and understandable for readers of all levels. Whether you're a data scientist, developer, or aspiring AI enthusiast, "Python Machine Learning Essentials" is your go-to resource for mastering machine learning with Python. Dive into the world of machine learning and unlock the potential to build intelligent applications with confidence. Get your copy of "Python Machine Learning Essentials" today and embark on your journey to becoming a proficient machine learning practitioner