Algorithms and Data Structures
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- Algorithms and Data Structures
Machine Learning for Beginners: Learn the Basics of Artificial Intelligence
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Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions
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Machine Learning with Spark: Develop intelligent machine learning systems with Spark 2.x 2nd Edition
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Maintaining data consistency in embedded databases for vehicular systems
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Management of real-time data consistency and transient overloads in embedded systems
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Manual 57 Routine Coal and Coke Analysis: Collection Interpretation and Use of Analytical Data
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Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark
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Mathematical Modelling and Scientific Computations
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Medical image recognition segmentation and parsing: machine learning and multiple object approaches
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Metadata for Digital Resources: Implementation Systems Design and Interoperability
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Mission Oriented Effectiveness Evaluation and Optimization of Complex Systems
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Multimedia Big Data Computing for IoT Applications: Concepts Paradigms and Solutions
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Multimedia Security: Algorithm Development Analysis and Applications
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Nature-Inspired Algorithms for Big Data Frameworks
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Network Behavior Analysis: Measurement Models and Applications
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Optimization for Data Analysis by Stephen J. Wright
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Optimum-path forest: theory algorithms and applications /
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Parallel Iterative Algorithms. From Sequential to Grid Computing
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Passive Eye Monitoring: Algorithms Applications and Experiments
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Pattern Recognition and Data Analysis with Applications
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Pattern Recognition and Machine Learning Solutions to the Exercises: Tutors’ Edition
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Pattern Recognition: 29th DAGM Symposium Heidelberg Germany September 12-14 2007. Proceedings
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Perspectives on Nuclear Data for the Next Decade: Workshop Proceedings — Bruyeres-le-Châtel France 26-28 September 2005
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Population-Based Optimization on Riemannian Manifolds
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Practical AI for Business Leaders Product Managers and Entrepreneurs
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Practical Guide To Computer Algorithms Using Python And C#
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Probabilistic Numerics: Computation as Machine Learning
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Problem Solving in Data Structures and Algorithms Using Python: Programming Interview Guide
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Process Mining Techniques for Pattern Recognition: Concepts Theory and Practice
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Python for Algorithmic Trading First Early Release
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Regularized System Identification: Learning Dynamic Models from Data
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RHCSA Red Hat Enterprise Linux 8 UPDATED: Training and Exam Preparation Guide EX200 Asghar Ghori
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Robotics Vision and Control: Fundamental Algorithms In MATLAB
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Scala Programming for Big Data Analytics: Get Started With Big Data Analytics Using Apache Spark
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Separable Type Representations of Matrices and Fast Algorithms
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Services for Connecting and Integrating Big Numbers of Linked Datasets
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Simulation-Based Algorithms for Markov Decision Processes 2nd Edition
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