Machine Learning And Its Application A Quick Guide For Beginners
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Machine Learning And Its Application A Quick Guide For Beginners
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Author : Indranath Chatterjee
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-12-22
Machine Learning And Its Application A Quick Guide For Beginners written by Indranath Chatterjee and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Computers categories.
Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Machine Learning With Go Quick Start Guide
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Author : Michael Bironneau
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-31
Machine Learning With Go Quick Start Guide written by Michael Bironneau 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 2019-05-31 with Computers categories.
This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering Key FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook Description Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go. The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced. The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum. The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring. At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones. What you will learnUnderstand the types of problem that machine learning solves, and the various approachesImport, pre-process, and explore data with Go to make it ready for machine learning algorithmsVisualize data with gonum/plot and GophernotesDiagnose common machine learning problems, such as overfitting and underfittingImplement supervised and unsupervised learning algorithms using Go librariesBuild a simple web service around a model and use it to make predictionsWho this book is for This book is for developers and data scientists with at least beginner-level knowledge of Go, and a vague idea of what types of problem Machine Learning aims to tackle. No advanced knowledge of Go (and no theoretical understanding of the math that underpins Machine Learning) is required.
Basics Of Python Programming A Quick Guide For Beginners
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Author : Krishna Kumar Mohbey
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-12-08
Basics Of Python Programming A Quick Guide For Beginners written by Krishna Kumar Mohbey and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning. Key Features: Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format. Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts. IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs). Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects. Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications. Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered. Readership Computer science, engineering and technology students; programming enthusiasts and professionals.
The Quick Guide To Prompt Engineering
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Author : Ian Khan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-26
The Quick Guide To Prompt Engineering written by Ian Khan 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 2024-03-26 with Health & Fitness categories.
Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide. In The Quick Guide to Prompt Engineering, renowned technology futurist and AI thought leader Ian Khan delivers a practical and insightful resource for taking the first steps in understanding and learning how to use generative AI. You will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.
Linkedin Lead Generation The Quick Guide To Attracting Your Ideal Clients And Growing Your Business
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Author : Karim Mokhtar
language : en
Publisher: Carthage ABC
Release Date : 2017-04-17
Linkedin Lead Generation The Quick Guide To Attracting Your Ideal Clients And Growing Your Business written by Karim Mokhtar and has been published by Carthage ABC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-17 with Business & Economics categories.
In this book, readers will discover the power of LinkedIn for businesses looking to connect with their target audience and generate leads. Starting with the basics of creating a strong profile, the book delves into advanced strategies for building relationships, creating content, and leveraging LinkedIn's paid advertising options. The book covers everything from optimizing your profile and building your network to creating and sharing content that resonates with your target audience. Readers will learn how to use LinkedIn to build their brand, showcase their expertise, and establish themselves as thought leaders in their industry. In addition to organic methods, the book also covers how to use LinkedIn's paid advertising options to reach and engage with a targeted audience. It provides a detailed breakdown of the different types of paid ads available and how to create effective campaigns that deliver measurable results. Whether you're a salesperson, CEO, or entrepreneur, this book provides a comprehensive guide to using LinkedIn for business growth. From beginners to advanced users, readers will gain a deep understanding of how to leverage the power of LinkedIn to achieve their marketing and sales goals.
Python Made Easy A Simple Guide For Everyone
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Author : M.B. Chatfield
language : en
Publisher: M.B. Chatfield
Release Date :
Python Made Easy A Simple Guide For Everyone written by M.B. Chatfield and has been published by M.B. Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Learn Python the easy way! Python is one of the most popular programming languages in the world. It is used by millions of people for a variety of tasks, including web development, data analysis, and machine learning. Python Made Easy is a simple guide for everyone who wants to learn Python. This book is perfect for beginners, with no prior programming experience required. In this book, you will learn: The basics of Python syntax How to use variables, operators, and expressions How to control program flow with conditional statements and loops How to work with functions, modules, and packages How to use Python for data analysis and machine learning Python Made Easy is a comprehensive and easy-to-follow guide that will teach you everything you need to know to get started with Python. With this book, you will be able to: Write simple Python programs Use Python to automate tasks Analyze data with Python Build machine learning models with Python Python Made Easy is the perfect resource for anyone who wants to learn Python. This book is packed with clear explanations, helpful examples, and practice exercises. Order your copy today and start learning Python! About the Author M.B. Chatfield is passionate about teaching people how to code. He is the author of several popular programming books, including "Python Made Easy". #python #learnpython #pythonprogramming #codingforbeginners #programmingbook #learntocode #pythonforbeginners #pythonmadeeasy #pythonbasics #learnpythonfunway #pythonforeveryone #mbchatfield #beginnerprogrammer #completebeginner #kidsprogramming #dataanalysis #machinelearning #automatetasks #stepbysteptutorial #realworldexamples
Beginning Spring Ai
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Author : Andrew Lombardi
language : en
Publisher: Springer Nature
Release Date : 2025-03-24
Beginning Spring Ai written by Andrew Lombardi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Computers categories.
Discover how to use Large Language Models in the Spring Framework. This quick guide equips developers with insights into the strengths and limitations of Spring AI and how to leverage the model for typical use cases. First, you will orient yourself to the new and exciting landscape of AI and Spring integration. You will learn how to issue simple queries, asking the right questions to get the results you want. From there, you will be empowered to select the right model for functionality and refinement, building a simple yet effective chat bot using real-world examples. Additionally, the book explores how to generate images, refine them, and how to send source images when appropriate. Lastly, the book focuses on how Spring AI and LLMs affect the developer landscape, including pitfalls and ethical concerns. Designed for fast adoption, this book provides targeted guidance on integrating AI and LLMs into your projects within days. Through a pragmatic approach, it emphasizes direct utilization of the API. What You Will Learn Explore popular use cases for LLMs Gain insight into the Spring AI module, including its capabilities and limitations Know how to create effective queries and interactions for AI-driven conversations and image generation Discover strategies for selecting an appropriate LLM service and model Acquire skills to AI-proof your job and understand why it is NOT a replacement What This Book Is Spring developers who are new to AI and focused on the essentials without exhaustive framework details. This is an optional supplement to the more comprehensive Apress book, Beginning Spring 6.
Artificial Intelligence For Beginners A Quick Guide To Understanding Ai
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Author : Ade Suryani
language : en
Publisher: GuinEvel Editions
Release Date : 2025-06-09
Artificial Intelligence For Beginners A Quick Guide To Understanding Ai written by Ade Suryani and has been published by GuinEvel Editions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR BEGINNERS: A QUICK GUIDE TO UNDERSTANDING AI is your essential, easy-to-follow introduction to the world of Artificial Intelligence (AI). Whether you're a student, entrepreneur, freelancer, content creator, or simply curious about AI, this book gives you a clear and simple understanding of how AI works — even if you have no technical background. In this powerful beginner’s guide, you’ll learn: - What is Artificial Intelligence and how it impacts your life - The differences between Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision - Real-world AI applications in business, healthcare, finance, education, and everyday tasks - How to start using AI tools for writing, content creation, automation, and passive income opportunities - Simple explanations of complex AI concepts without overwhelming jargon - Common mistakes beginners make when approaching AI 📊 Perfect for: beginners, students, professionals, business owners, freelancers, content creators, investors, and anyone who wants to take advantage of the AI revolution. 📈 This book simplifies the complex world of AI into practical, real-life applications — helping you master the basics and confidently take your first steps into the future of technology. 🔥 Get ready to unlock the power of AI — faster and easier than you ever imagined.
Applied Machine Learning Solutions With Python
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Author : Siddhanta Bhatta
language : en
Publisher: BPB Publications
Release Date : 2021-08-31
Applied Machine Learning Solutions With Python written by Siddhanta Bhatta and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Computers categories.
A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. KEY FEATURES ● Popular techniques for problem formulation, data collection, and data cleaning in machine learning. ● Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more. ● Covers numerous machine learning libraries, including Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy. DESCRIPTION This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies. The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API. Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets. WHAT YOU WILL LEARN ● Construct a machine learning problem, evaluate the feasibility, and gather and clean data. ● Learn to explore data first, select, and train machine learning models. ● Fine-tune the chosen model, deploy, and monitor it in production. ● Discover popular models for data analytics, computer vision, and Natural Language Processing. ● Create a machine learning profile and contribute to the community. WHO THIS BOOK IS FOR This book caters to beginners in machine learning, software engineers, and students who want to gain a good understanding of machine learning concepts and create production-ready ML systems. This book assumes you have a beginner-level understanding of Python. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Problem Formulation in Machine Learning 3. Data Acquisition and Cleaning 4. Exploratory Data Analysis 5. Model Building and Tuning 6. Taking Our Model into Production 7. Data Analytics Use Case 8. Building a Custom Image Classifier from Scratch 9. Building a News Summarization App Using Transformers 10. Multiple Inputs and Multiple Output Models 11. Contributing to the Community 12. Creating Your Project 13. Crash Course in Numpy, Matplotlib, and Pandas 14. Crash Course in Linear Algebra and Statistics 15. Crash Course in FastAPI