Products related to Simulation:
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Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
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Learning, Training, and Development in Organizations
This scholarly book in SIOP’s Organizational Frontier series looks at research on enhancing knowledge acquisition and its application in organizations.It concentrates on training, design and delivery given the changing nature of work and organizations.Now that work is increasingly complex, there is greater emphasis on expertise and cognitive skills.Advances in technology such as computer simulations and web-based training are necessitating a more active role for the learner in the training process.In the broad context of the organization systems, this book promotes learning and development as a continuous lifelong endeavor.
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Effective Software Development for the Enterprise : Beyond Domain Driven Design, Software Architecture, and Extreme Programming
It’s a jungle out there. Delivering software solutions with predictable costs, time, scope, and quality has become more complicated than ever.Developers need to account for multiple moving targets, including often avoided but always relevant factors such as culture, people, and leadership.To effectively deal with these challenges, it’s necessary to rethink the entire delivery chain of modern software development.This book addresses all these topics, putting everything in perspective, from the potential awkwardness created by cultural differences to connecting code with business outcomes to make delivering quality solutions possible.As a software engineer who strives to be his best and challenge the status quo when building IT systems, author Tengiz Tutisani always wanted a book that would cover all of these elements from a developer’s perspective — so he wrote one.Effective Software Development for the Enterprise builds on advanced disciplines, methodologies, and techniques derived from domain-driven design, software architecture, and extreme programming.Its objective is to aid modern software engineers and solution architects in building and delivering high-quality solutions for an enterprise while meeting ambitious criteria:Meet users' expectationsDeliver solutions on time with no defectsCreate products that can scale-out horizontallySolutions should not require a dedicated production support teamAccelerate development paceDouble ROI per developer, team, and softwareYou will learn how to achieve these objectives in any engineering environment by developing solid strategies based on the industry's well-known, recognized, and proven patterns and principles.After reading this book, you will be ready to effectively deal with any and all challenges posed by today’s hyper-competitive, globally-diverse, fast-moving enterprise environment. Who This Book Is ForProfessional software engineers and solution architects, as well as those aspiring to become one.Additionally, software engineering leaders will benefit from reading it, as it will help them maximize their impact via successful software project deliveries.
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Manufacturing Simulation with Plant Simulation and Simtalk : Usage and Programming with Examples and Solutions
Based on the competition of international production networks, the pressure to - crease the efficiency of production systems has increased significantly.In ad- tion, the number of technical components in many products and as a consequence also the requirements for corresponding assembly processes and logistics pr- esses increases.International logistics networks require corresponding logistics concepts.These requirements can be managed only by using appropriate Digital Factory tools in the context of a product lifecycle management environment, which allows reusing data, supports an effective cooperation between different departments, and provides up-to-date and relevant data to every user who needs it.Simulating the complete material flow including all relevant production, st- age, and transport activities is recognized as a key component of the Digital F- tory in the industry and as of today widely used and accepted.Cutting inventory and throughput time by 20–60% and enhancing the productivity of existing p- duction facilities by 15–20% can be achieved in real-life projects.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Is life a simulation?
The question of whether life is a simulation is a philosophical and scientific debate that has been explored by many thinkers. Some argue that the complexity and order of the universe suggest that it could be a simulation created by a higher intelligence or advanced civilization. Others believe that life is not a simulation, but rather a product of natural processes and evolution. Ultimately, the answer to this question is still unknown and may remain a topic of speculation and debate for years to come.
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How many simulation exams are there in the driving learning app?
There are a total of 10 simulation exams in the driving learning app. These simulation exams are designed to help users practice and prepare for their actual driving test. Each simulation exam covers a variety of driving scenarios and road rules to ensure comprehensive preparation for the real test. Users can take these simulation exams multiple times to improve their knowledge and skills before taking the actual driving test.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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Introduction to Scientific Programming and Simulation Using R
Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises.This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way.Readers learn programming by experimenting with the provided R code and data. The book’s four parts teach: Core knowledge of R and programming conceptsHow to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisationEssentials of probability, random variables, and expectation required to understand simulationStochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs.They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size.Another new chapter focuses on both discrete- and continuous-time Markov chains.It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times.It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables. Building readers’ statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code.It is designed for those who want to make tools, not just use them.The code and data are available for download from CRAN.
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Children's Simulation Royal Afternoon Tea Toys, Early Learning Educational Toys, Wooden Simulation
Children's Simulation Royal Afternoon Tea Toys, Early Learning Educational Toys, Wooden Simulation
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Car driving simulator training machine learning car trainer driving school simulation driving motor
Car driving simulator training machine learning car trainer driving school simulation driving motor
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Modern Python Programming using ChatGPT : 10x your software development skills with Python
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Is this world a simulation?
The question of whether our world is a simulation is a topic of philosophical debate. Some argue that advancements in technology and the possibility of creating realistic simulations suggest that it is possible our reality is simulated. Others believe that there is no concrete evidence to support this theory and that our world is real. Ultimately, the answer to this question remains unknown and is open to interpretation.
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Can life be a simulation?
The concept of life being a simulation is a philosophical idea that has been debated for years. Some argue that it is possible, given the advancements in technology and the potential for creating highly realistic simulations. Others believe that the complexity and unpredictability of life make it unlikely to be simulated. Ultimately, the question of whether life is a simulation remains unanswered and is open to interpretation and speculation.
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What is a driving simulation?
A driving simulation is a virtual environment that replicates real-world driving scenarios and conditions. It allows users to experience driving a vehicle in a controlled setting without the risks associated with actual driving. These simulations can be used for training purposes, research, entertainment, or testing new vehicle technologies. Users interact with the simulation through a steering wheel, pedals, and a screen that displays the virtual environment, providing a realistic driving experience.
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Search for a manager simulation.
You can search for a manager simulation game on various platforms such as Steam, Google Play Store, or the Apple App Store. Some popular manager simulation games include Football Manager, Motorsport Manager, and SimCity. These games allow players to take on the role of a manager and make decisions that impact the success of their team or city. Whether you're interested in sports, business, or city-building, there are manager simulation games available to suit your interests.
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