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Data Science Algorithms in a Week

help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large;

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Data Science Algorithms in a Week

Build strong foundation of machine learning algorithms In 7 days. About This Book * Get to know seven algorithms for your data;

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Algorithms and Data Structures

Algorithms and data structures lie at the heart of computer science, and are essential tools for every practising programmer. This book;

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Data Science Fundamentals for Python and MongoDB

with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the;

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AI for Data Science

Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;

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Data Mining Concept Animation Library

Library. Potential users for this library can be future students and instructor of a data mining class. The various types of data mining;

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Optimization for Data Analysis

; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations;

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Data Structures and Algorithms in Computer Science

algorithms in any computer program. Algorithms are a sequence of actions used for data processing along with calculation and reasoning tasks. This;

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Responsible Data Science

modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments;

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Data Science

in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel;

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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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On the Epistemology of Data Science

starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo's recent call for a variational rationale;

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Data Science with Java

. Examine methods for obtaining, cleaning, and arranging data into its purest form Understand the matrix structure that your data should take;

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Industry 4.0, AI, and Data Science

everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects;

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Algorithms for Data Science

domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to;

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Algorithms for Data Science

domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various;

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Data Mining and Knowledge Discovery With Evolutionary Algorithms

knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods;

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Hands-On Data Science with R

A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science;

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Data Science and Security

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020;

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Machine Learning Algorithms

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This;

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Data Streams

over the data for performing computations has been around since the early days of Automata Theory. The data stream agenda now pervades many;

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Algorithms and Data Structures in C++

Algorithms and Data Structures in C++ introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel;

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40 Algorithms Every Programmer Should Know

different types of algorithms and choose the right data structures for their optimal implementation Book DescriptionAlgorithms have always played;

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Algorithms for Next-Generation Sequencing Data

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering;

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Bio inspired Algorithms for Data Streaming and Visualization Big Data Managemen

. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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