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Machine Learning using Java

Machine Learning using Java

₹400

Design, build, and deploy your own machine learning applications by leveraging key Java machine learning librariesAbout This Book- Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries- Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications- Packed with practical advice and tips to help you get to grips with applied machine learningWho This Book Is ForIf you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.What You Will Learn- Understand the basic steps of applied machine learning and how to differentiate among various machine learning approaches- Discover key Java machine learning libraries, what each library brings to the table, and what kind of problems each are able to solve- Learn how to implement classification, regression, and clustering- Develop a sustainable strategy for customer retention by predicting likely churn candidates- Build a scalable recommendation engine with Apache Mahout- Apply machine learning to fraud, anomaly, and outlier detection- Experiment with deep learning concepts, algorithms, and the toolbox for deep learning- Write your own activity recognition model for eHealth applications using mobile sensorsIn DetailAs the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition.

11 months ago
Information technology for class 9

Information technology for class 9

₹100 ₹495
80% off

In this revelatory, authoritative portrait of Donald J. Trump and the toxic family that made him, Mary L. Trump, a trained clinical psychologist and Donald’s only niece, shines a bright light on the dark history of their family in order to explain how her uncle became the man who now threatens the world’s health, economic security, and social fabric. Mary Trump spent much of her childhood in her grandparents’ large, imposing house in the heart of Queens, New York, where Donald and his four siblings grew up. She describes a nightmare of traumas, destructive relationships, and a tragic combination of neglect and abuse. She explains how specific events and general family patterns created the damaged man who currently occupies the Oval Office, including the strange and harmful relationship between Fred Trump and his two oldest sons, Fred Jr. and Donald. A firsthand witness to countless holiday meals and interactions, Mary brings an incisive wit and unexpected humor to sometimes grim, often confounding family events. She recounts in unsparing detail everything from her uncle Donald’s place in the family spotlight and Ivana’s penchant for regifting to her grandmother’s frequent injuries and illnesses and the appalling way Donald, Fred Trump’s favorite son, dismissed and derided him when he began to succumb to Alzheimer’s. Numerous pundits, armchair psychologists, and journalists have sought to parse Donald J. Trump’s lethal flaws. Mary L. Trump has the education, insight, and intimate familiarity needed to reveal what makes Donald, and the rest of her clan, tick. She alone can recount this fascinating, unnerving saga, not just because of her insider’s perspective but also because she is the only Trump willing to tell the truth about one of the world’s most powerful and dysfunctional families.

11 months ago
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Computer book

Computer book

₹500

Asset Pricing Theory is an advanced textbook for doctoral students and researchers that offers a modern introduction to the theoretical and methodological foundations of competitive asset pricing. Costis Skiadas develops in depth the fundamentals of arbitrage pricing, mean-variance analysis, equilibrium pricing, and optimal consumption/portfolio choice in discrete settings, but with emphasis on geometric and martingale methods that facilitate an effortless transition to the more advanced continuous-time theory. Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature. Asset Pricing Theory is complete with extensive exercises at the end of every chapter and comprehensive mathematical appendixes, making this book a self-contained resource for graduate students and academic researchers, as well as mathematically sophisticated practitioners seeking a deeper understanding of concepts and methods on which practical models are built. Covers in depth the modern theoretical foundations of competitive asset pricing and consumption/portfolio choice Uses recursive utility as the benchmark preference representation in dynamic settings Sets the foundations for advanced modeling using geometric arguments and martingale methodology Features self-contained mathematical appendixes Includes extensive end-of-chapter exercises

1 year ago
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INFORMATION TECHNOLOGY CLASS 10 CBSE

INFORMATION TECHNOLOGY CLASS 10 CBSE

₹279

The chapters of this book have been selected and designed as per the CBSE curriculum of Vocational course on IT. KEY FEATURES ? National Education Policy 2020 ? Sneak Peek: This section contains glimpses of MS Office. ? Glossary: This section contains definition of common terms. ? Objective Type Questions: This section contains objective type questions to assess the intellectual skills of the students. ? Subjective Type Questions: This section has subjective questions to assess the comprehensive writing skills of the students. ? CBSE Sample Question Paper: This section contains sample question paper. ? Practical Work: This section has sample questions for practical examination ? Digital Solutions DESCRIPTION (This section should contain complete information about the book from the start to the end, in around 1350 characters with space.)(to be filled by author) The main features of this book are as follows: ? The language of the book is simple and easy to understand. ? The book focuses on Free and Open-Source Software (Foss) with highlights of MS Office. ? Notes are given for add-on knowledge. ? Students are provided with fun facts about the topic. ? Lab Activities are added in between the chapters to develop practical skills. ? The applications of IT Tools are discussed with real life scenarios. ? The contents will help to create opportunity for better job prospects with respect to IT fields. WHAT WILL YOU LEARN You will learn about: ? Communication skills ? Management skills ? Fundamentals of computers ? ICT Tools ? Entrepreneurship ? Green Skills ? Digital Documentation (Advanced) ? Electronic Spreadsheet (Advanced) ? Database Management System ? Web Applications and Security WHO THIS BOOK IS FOR (audience) (Let the readers know what knowledge they should have before reading the book) (350 characters with space)(to be filled by author) Grade - 10 TABLE OF CONTENTS 1. Part A Employability Skills (a) Unit-1 Communication Skills-II (i) Chapter-1 Communication Skills (b) Unit-2 Self-Management Skills-II (ii) Chapte

1 year ago
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