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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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Time Based Development Planning of Distribution Networks
In the book, a time-based model for distribution network development planning is presented, considering the possibility of using distributed energy generation technologies and the existence of capacitor banks.The proposed model specifies the appropriate location, capacity, and time for the use of distributed generation technologies and capacitor banks, as well as the schedule for increasing the capacity of network lines.To solve the problem, a genetically enhanced algorithm is used to optimize the network development plan, including the time, place, and capacity of DG and capacitor banks in the distribution network, as well as to optimize investment costs and operating costs.Also, in order to validate and evaluate the efficiency of the proposed solution to solve the distribution network development planning problem on a 17-bus radial distribution network, it was implemented in the MATLAB programming environment in a computer system.
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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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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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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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Which Linux distribution is suitable for programming in Java?
One suitable Linux distribution for programming in Java is Ubuntu. It is a popular choice for developers due to its user-friendly interface and extensive software repositories. Additionally, Ubuntu has strong community support and a wide range of development tools available for Java programming. Another suitable option is Fedora, which is known for its focus on open source software and its support for the latest technologies, making it a good choice for Java development. Both distributions offer a stable and reliable environment for Java programming.
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Which distribution form is more commonly encountered: normal distribution or skewed distribution?
The normal distribution is more commonly encountered in real-world data compared to skewed distributions. This is because many natural phenomena and human characteristics tend to follow a normal distribution, such as heights, weights, test scores, and IQ scores. Skewed distributions, on the other hand, are less common but still appear in certain types of data, such as income distribution, where a large number of people have lower incomes and a smaller number have very high incomes, resulting in a right-skewed distribution.
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Modern Python Programming using ChatGPT : 10x your software development skills with Python
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POP-1 30a RV Distribution Box American RV Distribution Box Distribution Cabinet Power Socket Box
POP-1 30a RV Distribution Box American RV Distribution Box Distribution Cabinet Power Socket Box
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Radiohead EMI Distribution Book 2000 USA book DISTRIBUTION BOOK
RADIOHEAD EMI Distribution Book (Official US EMI softback distribution book issued to retailers it features 2 pages of sales information on the Kid A album together with many other releases on the EMI label - an unusual item for your collection)
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Economic Growth and Income Distribution in the Development of China’s Dual Economy
Since the start of the process of economic reform in 1978, China has maintained the structure of a dual economy, with concurrent development of the agricultural and industrial sectors.This book explores the key issues of China's economic growth and income distribution in this context. Pivoting on analysis of China's real GDP and growth rate, the first part of the book analyzes the evolution of economic growth and characteristics of economic structural changes across a period of forty years, scrutinizing the different determinants that contribute to growth.Then, chapters in the second part of the volume study the relationship between China's economic growth and economic development, elucidating the mechanism of interaction between the former and key factors of the latter, including investment, housing, education, and healthcare.The final chapters center on the development and current landscape of income distribution, providing explanation for sharpening income inequalities and advancing suggestions and feasible solutions to the problem of income gap. This book is targeted at scholars, students, and policymakers interested in China's economy, income distribution, and economic growth.
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What is the difference between software development and programming?
Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.
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What training opportunities are available for IT specialists to specialize in web development and general programming, such as software development?
There are various training opportunities available for IT specialists looking to specialize in web development and general programming. Online platforms like Coursera, Udemy, and Codecademy offer courses and certifications in programming languages such as Python, Java, and JavaScript. Additionally, coding bootcamps like General Assembly and Flatiron School provide intensive, hands-on training in software development. IT specialists can also pursue advanced degrees in computer science or related fields to deepen their knowledge and skills in web development and programming.
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What training options are available for IT specialists to specialize in web development and general programming, such as software development?
IT specialists looking to specialize in web development and general programming have a variety of training options available to them. They can pursue formal education through degree programs in computer science or related fields, attend coding bootcamps that offer intensive training in programming languages and frameworks, or take online courses and tutorials to learn specific skills. Additionally, IT specialists can participate in workshops, seminars, and conferences to stay updated on the latest trends and technologies in web development and software development. Continuous learning and practice are essential for IT specialists to excel in these specialized areas.
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Which distribution box?
The distribution box is typically a metal or plastic enclosure that houses electrical connections and circuit breakers for distributing power to different areas of a building. It is usually located near the main electrical panel and serves as a central point for routing electricity to various circuits throughout the building. The distribution box is essential for ensuring that electricity is safely and efficiently distributed to different areas, helping to prevent overloads and electrical hazards.
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