Junte-se a nós em uma viagem ao mundo dos livros!
Adicionar este livro à prateleira
Grey
Deixe um novo comentário Default profile 50px
Grey
Assine para ler o livro completo ou leia as primeiras páginas de graça!
All characters reduced
Ultimate Java for Data Analytics and Machine Learning - Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA JavaML JFreeChart and Deeplearning4j - cover
LER

Ultimate Java for Data Analytics and Machine Learning - Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA JavaML JFreeChart and Deeplearning4j

Abhishek Kumar

Editora: Orange Education Pvt. Ltd

  • 0
  • 0
  • 0

Sinopse

Empower Your Data Insights with Java's Top Tools and Frameworks. 
Book Description
This book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis. 
The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction. 
The final part of the book gives a brief overview of big data analysis with Java frameworks like MapReduce, and introduces deep learning with the Deeplearning4J library. Whether you're new to data analysis or want to improve your Java skills, this book offers a step-by-step approach with real-world examples to help you master data analysis using Java. 

Table of Contents

1. Data Analytics Using Java
2. Datasets
3. Data Visualization
4. Java Machine Learning Libraries
5. Statistical Analysis
6. Relational Databases
7. Regression Analysis
8. Classification?Analysis
9. Sentiment Analysis
10. Cluster Analysis
11. Working with NoSQL Databases
12. Recommender Systems
13. Applications of Data Analysis
14. Big Data Analysis with Java
15. Deep Learning with Java   
Index
Disponível desde: 08/08/2024.

Outros livros que poderiam interessá-lo

  • Unlocking Passive Income with ChatGPT - Ethical AI-Driven Strategies for Wealth Generation - cover

    Unlocking Passive Income with...

    Janek Kruczkowski

    • 0
    • 0
    • 0
    Unlock the true potential of AI! 
    Imagine waking up every morning, knowing that your bank account kept growing during your sleep, thanks to the remarkable capabilities of AI. Picture having the freedom to pursue your dreams and passions, unburdened by the shackles of a conventional job. Can you feel the excitement building? 
    If you’re like most people, you’ve probably fantasized about a life of financial independence, but you may have dismissed it as nothing more than a pipe dream. You’re not alone. Countless individuals are trapped in the monotonous cycle of trading their time for money, yearning for a change that can elevate them to a higher level of existence. And that’s where this book comes in. 
    In “Unlocking Passive Income with ChatGPT: Ethical AI-Driven Strategies for Wealth Generation” you will discover the potential of AI and how it can become your most powerful ally in the pursuit of wealth and personal fulfillment. Drawing on cutting-edge research and real-life success stories, this book will guide you through the labyrinth of AI-driven passive income, providing you with the knowledge and tools you need to unlock a future of abundance.
    Ver livro
  • AI Artifical Intelligence The Revolution - Beginners Crash Course - cover

    AI Artifical Intelligence The...

    ian batantu

    • 0
    • 0
    • 0
    This book is a comprehensive guide to the latest advancements in artificial intelligence, from machine learning to deep neural networks & opportunities in AI. This book explores how AI is transforming industries and includes exclusive bonus content for my devoted readers at the end of the book. Whether you're a tech pro or just starting to explore AI, this book is your ultimate guide to understanding and harnessing the power of this transformative technology
    Ver livro
  • Power in the Storm - Mastering Results and Resilience When the Heat is On - cover

    Power in the Storm - Mastering...

    Quinn Price

    • 0
    • 0
    • 0
    We all know that feeling—the pit in your stomach when a crisis hits, your mind spinning at 2 AM, or that moment before a high-stakes performance when your brain decides to take an unexpected vacation. Whether you're facing a legitimate emergency or battling the chaos in your own mind, the ability to find calm when it matters most isn't just a nice-to-have—it's essential. 
    In "Power in the Storm," you'll discover practical tools to:Tame your inner beast when everything hits the fanTransform from an overthinker into a clear-headed decision-makerPerform at your best when the pressure's onBuild genuine resilience for life's inevitable storms 
    Drawing from real-world experiences—including a harrowing car accident that taught valuable lessons about crisis response—this book delivers a proven framework for maintaining clarity under pressure. Through the AIM method (Acknowledge, intention, Move with surrendered excellence), you'll learn to navigate both external emergencies and internal turmoil with newfound confidence. 
    No more paralysis by analysis. No more sleepless nights of mental spin. Just practical, actionable strategies for finding your power when your mind wants to work against you. Whether you're an emergency responder, a business leader, or someone who just wants to handle life's challenges with more grace, this book is your guide to mastering results and resilience in the storms of life.
    Ver livro
  • Data Engineering Guide for Beginners - Building the Backbone of Modern Data Infrastructure - cover

    Data Engineering Guide for...

    Alan Murray

    • 0
    • 0
    • 0
    In today’s data-driven world, the role of data engineering has become indispensable to organizations across industries. Data Engineering: Building the Backbone of Modern Data Infrastructure is a comprehensive guide that explores the critical concepts, tools, and techniques that data engineers use to design and manage efficient, scalable, and reliable data systems. 
    From foundational principles to advanced architectures, this book takes readers through every stage of the data engineering process. Learn how to build robust data pipelines, manage large-scale data storage solutions, implement data governance, and optimize performance for both batch and real-time data processing. Dive into modern cloud technologies, distributed systems, and the rise of data mesh and serverless data infrastructure. 
    Readers will also explore real-world case studies across industries such as e-commerce, finance, healthcare, and more, illustrating how leading companies implement cutting-edge data engineering practices. Additionally, the book looks ahead at emerging trends like AI-powered automation, MLOps, and edge computing, preparing readers for the future of data engineering. 
    This book is a must-read for mastering the skills that shape the world of data. 
     
    Ver livro
  • Silicon Empires - The Fight for the Future of AI - cover

    Silicon Empires - The Fight for...

    Nick Srnicek

    • 0
    • 0
    • 0
    Since the emergence of ChatGPT, generative AI has been heralded as a technology poised to revolutionize our world. But beyond the hype and hyperbole, who truly wields power over this transformative technology?In Silicon Empires, Nick Srnicek explores the geopolitical economy of artificial intelligence, revealing how a handful of powerful corporations and states are engaged in a monumental struggle to control its future. Srnicek moves beyond the headlines to lay bare the elaborate strategies that these silicon empires—from tech giants to great powers—are deploying to capture the immense value of AI.This incisive analysis uncovers the deep-seated tensions between corporate ambitions and national interests, and the profound consequences of this new era of technological competition. As the race for AI supremacy accelerates, Srnicek compellingly demonstrates that the decisions being made in the boardrooms of Silicon Valley and the halls of government will shape the distribution of wealth and power on a global scale for decades to come.This book is essential listening for anyone who wants to understand the critical battle for the future of AI.
    Ver livro
  • AI For Teachers - Lesson Planning Grading & Classroom Productivity—With 300+ Ready-to-Use Prompts for ChatGPT Claude Gemini Copilot & More - cover

    AI For Teachers - Lesson...

    Alli Mohammed

    • 0
    • 0
    • 0
    Teach Less Paperwork. More Learning. 
    Teaching is one of the world's most rewarding professions—but it also comes with endless lesson planning, grading, parent communication, classroom management, and administrative work that often stretches long after the school day ends. 
    What if AI could take care of the repetitive tasks while you focused on what matters most—your students? 
    AI for Teachers is a practical, step-by-step guide that shows educators how to use today's leading AI tools—including ChatGPT, Claude, Gemini, Copilot, and more—to save time, improve productivity, and create better classroom experiences without replacing the human touch that great teaching requires. 
    Inside You'll Discover: 
    ✓ The proven T.E.A.C.H. Method for turning AI into your hardest-working teaching assistant. 
    ✓ The C.L.E.A.R. Prompt Blueprint for writing prompts that consistently produce high-quality classroom-ready results. 
    ✓ 300+ ready-to-use prompts covering:Lesson PlanningWorksheets & Classroom ActivitiesQuizzes & ExamsGrading & FeedbackReport Card CommentsParent CommunicationClassroom ManagementTeacher Productivity 
    ✓ A practical 30-Day AI Classroom Plan to help you confidently integrate AI into your daily teaching workflow. 
    Whether you're a new teacher, an experienced educator, a department head, instructional coach, substitute teacher, or homeschool educator, this book provides practical tools you can start using immediately to reclaim your evenings, reduce administrative workload, and spend more time doing what only great teachers can do—inspire learning. 
    AI will never replace great teachers. But great teachers who know how to use AI will have more time to teach, mentor, and make a lasting impact. 
    Plan Smarter. Teach Better. Inspire Every Student.
    Ver livro