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  • Automated Deep Learning Using Neural Network Intelligence : Develop and Design PyTorch and TensorFlow Models Using Python - Ivan Gridin
    Automated Deep Learning Using Neural Network Intelligence
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    Ivan Gridin
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    Studies in Computational Intelligence
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  • Studies in Systems, Decision and Control : Using Active and Passive Control - Gebrail Bekdas
    Studies in Systems, Decision and Control
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    Fundamentals of Statistical Inference
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    Norbert Hirschauer, Sven Grüner and Oliver Mu�hoff
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  • Mathematical Tools for Neuroscience : A Geometric Approach - Richard A. Clement
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  • The Fundamentals of Social Research - Paul M. Kellstedt
    The Fundamentals of Social Research
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    Lecture Notes in Networks and Systems
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    Parameter Estimation in Stochastic Volatility Models
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    Introduction to Modern Analysis
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    Introduction to Modern Analysis
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    Cognitive Science and Technology
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    Studies in Systems, Decision and Control
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    Lecture Notes on Data Engineering and Communications Technol
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    Md. Abul Bashar, Vaclav Skala, Tanupriya Choudhury, T. P. Singh and Ravi Tomar
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    Advances in Bioinformatics and Computational Biology
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    Lecture Notes in Electrical Engineering
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    Functional and High-Dimensional Statistics and Related Fields
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    An Introduction to Sequential Monte Carlo
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    Low-Overhead Communications in Iot Networks
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    Advanced Studies of Financial Technologies and Cryptocurrency Markets
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    Regression and Other Stories
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    Lean Six Sigma in Banking Services
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    Matrix-Based Introduction to Multivariate Data Analysis
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    Regression and Other Stories
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    Markov Chains
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    Guide to Intelligent Data Science
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    Copula-Based Markov Models for Time Series
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    Schaum's Outline of Probability
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    Bayesian Inference of State Space Models
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