The.Hottest

Wednesday, November 11, 2020 , , , ,
Abhishek Kumar Pandey, Pramod Singh Rathore, S. Balamurugan ... 282 pages - Language: English - Publisher: BPB Publications; (June, 2019).

Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it. 

What will you learn: ● Pre-requisites to machine learning ● Finding natural patterns in data ● Building classification methods ● Data pre-processing in Python ● Building regression models ● Creating neural networks ● Deep learning
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Monday, November 09, 2020 , , ,
Ghazi Gaseem Al-Khateeb ... 657 pages - Publisher: CRC Press; (July, 2020) ... Language: English - AmazonSIN: B08LG9CKRJ.

Traffic and Pavement Engineering presents the latest engineering concepts, techniques, practices, principles, standard procedures, and models that are applied and used to design and evaluate traffic systems, road pavement structures, and alternative transportation systems to ultimately achieve greater safety, sustainability, efficiency, and cost-effectiveness. It provides in-depth coverage of the major areas of transportation engineering and includes a broad range of practical problems and solutions, related to theory, concepts, practice, and applications. Solutions for each problem follow step-by-step procedures that include the theory and the derivation of the formulas and computations where applicable. Additionally, numerical methods, linear algebraic methods, and least squares regression techniques are presented to assist in problem solving. Features: Presents coverage of major areas in transportation engineering: traffic engineering, and pavement materials, analysis, and design. + Provides solutions to numerous practical problems in traffic and pavement engineering including terminology, theory, practice, computation, and design. + Offers downloadable and user-friendly MS Excel spreadsheets as well as numerical methods and optimization tools and techniques. + Includes several practical case studies throughout. + Utilizes a unique approach in presenting the different topics of transportation engineering.

Traffic and Pavement Engineering will help academics and professionals alike to find practical solutions across the broad spectrum of traffic and pavement engineering issues.
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Sunday, November 08, 2020 , , ,
João Paulo Coelho, Tatiana M. Pinho, José Boaventura-Cunha ... 296 pages - ISBN-13: 978-0367203498 ... Publisher: CRC Press; (August, 2019) - Language: English.

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models’ concepts from the domain of formal mathematics into computer codes using MATLAB. The unique feature of this book is that the theoretical concepts are first presented using an intuition-based approach followed by the description of the fundamental algorithms behind hidden Markov models using MATLAB. This approach, by means of analysis followed by synthesis, is suitable for those who want to study the subject using a more empirical approach.

Key Selling Points: Presents a broad range of concepts related to Hidden Markov Models (HMM), from simple problems to advanced theory + Covers the analysis of both continuous and discrete Markov chains + Discusses the translation of HMM concepts from the realm of formal mathematics into computer code + Offers many examples to supplement mathematical notation when explaining new concepts.
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