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the data science ecosystem available in Java * Find out how to approach different machine learning problems with Java * Process unstructured;
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science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the;
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science with the stability and power of Java * Explore, analyse, and visualize your data effectively using easy-to-follow examples * Make your;
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Java Programming: Program Design Including Data Structures is intended for a two-semester CS1/CS2 sequence in Java, beginning with core;
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structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are;
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A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler;
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for data analysis with Java and make sense of your data through effective visualizations. * Use various Java APIs and tools such as;
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is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro. What You Will;
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and project Work with source code Extend your Java application to data science and other kinds of applications Test and deploy your;
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already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have;
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implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you;
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of understanding data structures, and uses Java syntax and structure in the design of data structures. Its breadth of coverage insures that core topics;
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; cryptographic certificates, which prove identity (authentication); and digital signatures, which ensure your data has not been damaged or tampered with;
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This edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and;
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Data Structures and Abstractions with Java is suitable for one- or two-semester courses in data structures (CS-2) in the departments;
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Assuming fundamental programming skills in Java, Introduction to Data Structures and Algorithms with Java begins by introducing the concept;
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for your own machine learning programming projects with Java. What You Will Learn Identify, organize, and architect the data required for ML;
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This book is designed for the way we learn and intended for one-semester course in Data Structures through Java. This is a very useful;
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functionalities provide developers with the tools needed to write robust cross-platform applications. Java Fundamentals introduces you to these tools and;
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context, this text presents the familiar topics, but with an emphasis on defining structures using Java interfaces and encapsulating them as Java;
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structures using the Java programming language. It presents both the traditional and modern data structure topics with an emphasis on problem-solving;
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A unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software;
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