Pagina principala Maths for computer scientists
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Maths for computer scientists - [UYAM]
Shallow and Deep Learning Principles

Shallow and Deep Learning Principles

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Validity, Reliability, and Significance

Validity, Reliability, and Significance

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Discrete Geometry and Mathematical Morphology

Discrete Geometry and Mathematical Morphology

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Integer Programming and Combinatorial Optimization

Integer Programming and Combinatorial Optimization

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Theory and Applications of Models of Computation

Theory and Applications of Models of Computation

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Logical Methods

Logical Methods

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Approximation Algorithms for Traveling Salesman Problems

Approximation Algorithms for Traveling Salesman Problems

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Julia Quick Syntax Reference

Julia Quick Syntax Reference

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Maths For Computing

Maths For Computing

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Probability for Information Technology

Probability for Information Technology

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Logic in Computer Science

Logic in Computer Science

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Machine Learning

Machine Learning

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Monte Carlo Methods

Monte Carlo Methods

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Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning

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All of Statistics

All of Statistics

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Statistics for Data Scientists

Statistics for Data Scientists

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Algorithm Design Manual

Algorithm Design Manual

374.99 RON
Nature of Complex Networks

Nature of Complex Networks

265.99 RON
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