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  Author: Baturi   |   18 April 2024   |   comments: 0
Modeling a Cyberpunk Bar with Neon Aesthetics
Free Download Modeling a Cyberpunk Bar with Neon Aesthetics
Published 4/2024
Created by Mammoth Interactive
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 39m ) | Size: 2 GB

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  Author: Baturi   |   18 April 2024   |   comments: 0
Learning and Praticing OpenSCAD on 3D Modeling
Free Download Learning and Praticing OpenSCAD on 3D Modeling
Published 4/2024
Created by Xiaoqi Zhao
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 34m ) | Size: 1.2 GB

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  Author: Baturi   |   10 April 2024   |   comments: 0
New. Weapon Modeling For Aaa Games In Blender
Free Download New. Weapon Modeling For Aaa Games In Blender
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 22.46 GB | Duration: 24h 29m
We are going to model AK-47 from our first primitive to complex model for AAA games using Blender and Substance painter.

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  Author: Baturi   |   07 April 2024   |   comments: 0
Executive Guide to Predictive Modeling Strategy at Scale
Free Download Executive Guide to Predictive Modeling Strategy at Scale
Released: 04/2024
Duration: 1h 2m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 132 MB
Level: Beginner | Genre: eLearning | Language: English
Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages of a project. How do you know how much data to use? What is too little, what is too much? How does your infrastructure need to scale with the volume and demands of the project? This course walks step by step through the strategic and tactical aspects of determining how much data is needed to build an effective predictive modeling solution based on machine learning and what volumes of data are so large that they will create challenges. Instructor Keith McCormick reviews each stage—data selection, data preparation, modeling, scoring, and deployment—with scalability in mind, providing IT professionals, data scientists, and leadership with new insights, perspectives, and collaboration tools.

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
Theoretical Chemical Engineering Modeling and Simulation (2024)
Free Download Christo Boyadjiev, "Theoretical Chemical Engineering: Modeling and Simulation"
English | 2010 | pages: 611 | ISBN: 3642435041, 364210777X | PDF | 6,6 mb
The role of theory in science was formulated very brilliantly by Max Planck: Experimenters are the striking force of science. The experiment is a question which science puts to nature. The measurement is the registration of nature's answer. But before the question is put to nature,it must be formulated. Before the measurement result is used,itmust be explained, i.e., the answer must be understood correctly. These two problems are obligations of the theoreticians. Chemical engineering is an experimental science, but theory permits us to formulate correct experimental conditions and to understand correctly the exp- imental results. The theoretical methods of chemical engineering for modeling and simulation of industrial processes are surveyed in this book. Theoretical chemical engineering solves the problems that spring up from the necessity for a quantitative description of the processes in the chemical industry. They are quite different at the different stages of the quantitative description, i.e., a wide circle of theoretical methods are required for their solutions. Modeling and simulation are a united approach to obtain a quantitative description of the processes and systems in chemical engineering and chemical technology, which is necessary to clarify the process mechanism or for optimal process design, process control, and plant renovation. Modeling is the creation of the mathematical model, i.e., construction of the mathematical description (on the basis of the process mechanism), calculation of the model parameters (using experimental data), and statistical analysis of the model adequacy.

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
The Evolution of Conceptual Modeling From a Historical Perspective towards the Future of Conceptual Modeling
Free Download Lois M.L. Delcambre, "The Evolution of Conceptual Modeling: From a Historical Perspective towards the Future of Conceptual Modeling"
English | 2011 | pages: 347 | ISBN: 364217504X | PDF | 7,2 mb
Conceptual modeling represents a recent approach to creating knowledge. It has emerged in response to the computer revolution, which started in the middle of the 20th century.

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
Modeling Techniques in Predictive Analytics with Python and R A Guide to Data Science (FT Press Analytics)
Free Download Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics) by Thomas W. Miller
English | October 1st, 2014 | ISBN: 0133892069 | 448 pages | True EPUB / PDF | 54.83 MB
Master predictive analytics, from start to finish

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
Measurement, Modeling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (2024)
Free Download Jens B. Schmitt, "Measurement, Modeling, and Evaluation of Computing Systems and Dependability and Fault Tolerance"
English | 2012 | pages: 342 | ISBN: 3642285392 | PDF | 5,2 mb

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
Mathematical Modeling and Simulation in Mechanics and Dynamic Systems, 2nd Edition
Free Download Mathematical Modeling and Simulation in Mechanics and Dynamic Systems, 2nd Edition by Maria Luminit , a Scutaru, Catalin I. Pruncu
English | PDF | 2024 | 226 Pages | ISBN : N/A | 20.6 MB
Although it has been considered difficult to make further contributions in the field of mechanics, the spectacular evolution of technology and numerical calculation techniques has made these opinions shift, and increasingly sophisticated models have been developed, which should predict, as accurately as possible, the phenomena that take place in dynamic systems. Therefore, researchers have come to study mechanical systems with complicated behavior using experiments and computer models [ 1 - 3 ]. The key requirement is that the system is nonlinear in its form. The impetus in mechanics and dynamical systems has come from many sources: computer simulation, experimental science, mathematics, and modeling [ 4 - 7 ]. There is a wide range of influences. Computer experiments change the way in which we analyze these systems. Topics of interest include, but are not limited to, modeling mechanical systems, new methods in dynamic systems, the behavior simulation of a mechanical system, nonlinear systems, multibody systems with elastic elements, multi- degrees of freedom, mechanical systems, experimental modal analysis, and mechanics of materials.

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
Marketing Data Science Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics)
Free Download Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics) by Thomas W. Miller
English | May 12th, 2015 | ISBN: 0133886557 | 480 pages | True EPUB / PDF | 34.10 MB
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.

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