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  • Programming Machine Learning : From Coding to Deep Learning
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    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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    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
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    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.

  • How can I delete a GitHub repository?

    To delete a GitHub repository, you need to go to the repository's page on GitHub. Then, click on the "Settings" tab, scroll down to the "Danger Zone" section, and click on the "Delete this repository" button. You will be prompted to confirm the deletion by typing in the name of the repository, and then clicking the "I understand the consequences, delete this repository" button. Once confirmed, the repository and all its contents will be permanently deleted. Keep in mind that this action cannot be undone, so make sure you really want to delete the repository before proceeding.

  • Will we find a nuclear waste repository?

    The search for a nuclear waste repository is ongoing, and it is likely that a suitable site will eventually be found. However, the process of siting and constructing a nuclear waste repository is complex and can take many years due to technical, political, and public acceptance challenges. It is important to continue the search for a safe and secure repository to ensure the long-term management of nuclear waste. With continued research and collaboration, it is possible that a suitable repository will be found in the future.

  • Is there a central repository for studies?

    Yes, there are several central repositories for studies, such as PubMed, which is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. Another example is the Cochrane Library, which is a collection of databases that contain high-quality, independent evidence to inform healthcare decision-making. These repositories provide access to a wide range of studies and research articles, making it easier for researchers and professionals to find relevant information.

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  • What went wrong with the nuclear waste repository?

    The nuclear waste repository at Yucca Mountain in Nevada faced several challenges that ultimately led to its failure. One major issue was the opposition from local communities and environmental groups, who raised concerns about the potential for groundwater contamination and the transportation of nuclear waste to the site. Additionally, there were technical and scientific challenges in demonstrating the long-term safety and stability of the repository. The project also faced political obstacles, with changes in leadership and shifting priorities leading to funding cuts and ultimately the termination of the project. These factors combined to prevent the successful establishment of the nuclear waste repository at Yucca Mountain.

  • What is the problem when adding a repository?

    The problem when adding a repository can vary depending on the specific situation. Some common issues include entering the wrong repository URL, encountering authentication errors, or facing compatibility issues with the operating system or package manager. Additionally, repository servers may be down or experiencing connectivity issues, leading to difficulties in adding the repository. It is important to carefully follow the instructions provided by the repository maintainer and troubleshoot any errors that may arise during the process.

  • Would you agree to a nuclear waste repository?

    As an AI, I do not have personal opinions. However, the decision to agree to a nuclear waste repository would depend on various factors such as the safety measures in place, the environmental impact, and the long-term management of the waste. It is important to consider the potential risks and benefits, involve stakeholders in the decision-making process, and ensure transparency and accountability in the management of nuclear waste.

  • Is it not possible to initialize the repository?

    It is possible to initialize a repository in version control systems like Git. Initializing a repository creates a new repository in the current directory, adding a hidden subfolder within the existing directory that houses the internal data structure required for version control. This allows you to start tracking changes to your project and collaborate with others using version control.

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