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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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Software Development Pearls : Lessons from Fifty Years of Software Experience
Accelerate Your Pursuit of Software Excellence by Learning from Others' Hard-Won Experience "Karl is one of the most thoughtful software people I know.He has reflected deeply on the software development irritants he has encountered over his career, and this book contains 60 of his most valuable responses." -- From the Foreword by Steve McConnell, Construx Software and author of Code Complete "Wouldn't it be great to gain a lifetime's experience without having to pay for the inevitable errors of your own experience?Karl Wiegers is well versed in the best techniques of business analysis, software engineering, and project management.You'll gain concise but important insights into how to recover from setbacks as well as how to avoid them in the first place." --Meilir Page-Jones, Senior Business Analyst, Wayland Systems Inc. Experience is a powerful teacher, but it's also slow and painful.You can't afford to make every mistake yourself! Software Development Pearls helps you improve faster and bypass much of the pain by learning from others who already climbed the learning curves.Drawing on 25+ years helping software teams succeed, Karl Wiegers has crystallized 60 concise, practical lessons for all your projects, regardless of your role, industry, technology, or methodology. Wiegers's insights and specific recommendations cover six crucial elements of success: requirements, design, project management, culture and teamwork, quality, and process improvement.For each, Wiegers offers First Steps for reflecting on your own experiences before you start; detailed Lessons with core insights, real case studies, and actionable solutions; and Next Steps for planning adoption in your project, team, or organization.This is knowledge you weren't taught in college or boot camp.It can boost your performance as a developer, business analyst, quality professional, or manager. Clarify requirements to gain a shared vision and understanding of your real problemCreate robust designs that implement the right functionality and quality attributes and can evolveAnticipate and avoid ubiquitous project management pitfallsGrow a culture in which behaviors actually align with what people claim to valuePlan realistically for quality and build it in from the outsetUse process improvement to achieve desired business results, not as an end in itselfChoose your next steps to get full value from all these lessons Register your book for convenient access to downloads, updates, and/or corrections as they become available.See inside book for details.
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Software Engineering at Google : Lessons Learned from Programming Over Time
Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy.This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life?Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software.This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. You’ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code:How time affects the sustainability of software and how to make your code resilient over timeHow scale affects the viability of software practices within an engineering organizationWhat trade-offs a typical engineer needs to make when evaluating design and development decisions
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Coding for Kids Ages 8-12 : Simple C++ Programming Lessons and Get You Started With Programming from Scratch (Coding for Absolute Beginners)
Games and activities that teach kids ages 8-12 to code with C++Learning to code isn't as hard as it sounds―you just have to get started! Coding for Kids in C++ starts off with the very basics: Learn why coding has taken the world by storm, and why C++ is a great way to get started. The book has 50 interactive programs, and then another 50 exercises to practice each concept at the back of every chapter. Every chapter is a building block of programming block of programming that kids can use to master the basics, and start creating their very own games. Kids will progress through unique lessons packed with helpful examples!Activities at the end of each chapter help test their new knowledge by combining multiple concepts. For young programmers who really want to show off their creativity, there are extra tricky challenges to tackle after each chapter. All kids need to get started is a computer and this book.Have kids improve their problem solving skills, computer literacy, logical arguments, and think independently while having fun learning an amazing new skill with this coding book for kids in C++.
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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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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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Which programming language is suitable for software development for the PC?
There are several programming languages that are suitable for software development for the PC, but some of the most popular and widely used ones include C++, Java, and C#. C++ is a powerful and versatile language that is commonly used for developing system software and applications that require high performance. Java is a popular choice for developing cross-platform applications, as it can run on any operating system that has a Java Virtual Machine. C# is commonly used for developing Windows applications and is well-integrated with the .NET framework. Ultimately, the choice of programming language depends on the specific requirements of the software being developed and the preferences of the development team.
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Information Theory : From Coding to Learning
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study.Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach.With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory.This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation.Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.
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Science, Technology And Innovation Indicators : Lessons from the Development Experience in Africa
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EFL Writing Teacher Education and Professional Development : Voices from Under-Represented Contexts
This book explores how EFL writing teacher education is theoretically, pedagogically, methodologically and sociopolitically shaped, given teachers’ unique local contexts and circumstances.It showcases practitioners and researchers teaching in, or studying, geographic areas that have as yet been under-represented in international publications, and it focuses on ways that specific contexts create unique opportunities and constraints on what developing teachers know and do in their work.The chapters prioritize local voices and materials to build a more inclusive and comprehensive picture of L2 writing globally, enabling the book as a whole to both document and further shape pedagogical approaches to L2 writing.Readers will be able to use the unique insights contained in this book in their own classrooms and professional development activities.
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Higher Education, Place, and Career Development : Learning from Rural and Island Students
Drawing connections between the findings of a research project following young graduates from the Scottish islands of Orkney and Shetland, current international evidence, and theoretical literature, this book argues that understanding rural and island student transitions can expose the wider dynamics of place and mobility at play during student and early career experiences. Highlighting the importance of a career perspective, Rosie Alexander encourages readers to consider how career pathways develop across time and across transition points, unsettling the notion of a straightforward transition through university into the workplace.The book uncovers how student trajectories are developed through interweaving dynamics of relationships, place, and career routes and unpacks the implications for policymakers and practitioners.It contends that a much greater spatial awareness is necessary to understand and support the educational and career pathways of higher education students. This is a crucial read for higher education researchers, policymakers, and students interested in rurality as well as access to and transition from higher education.
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Which education is suitable for IT security or software development?
For a career in IT security or software development, a formal education in computer science, information technology, or a related field is typically recommended. A bachelor's degree in computer science can provide a strong foundation in programming, algorithms, and computer systems, which are essential skills for both IT security and software development roles. Additionally, pursuing certifications in cybersecurity or software development can also help enhance your skills and credibility in the field. Ultimately, the most suitable education will depend on your specific career goals and interests within the IT industry.
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Who is better in programming and software development: mechatronics engineers or IT specialists?
It is difficult to determine who is better in programming and software development between mechatronics engineers and IT specialists as both have their own strengths and expertise. Mechatronics engineers have a strong foundation in mechanical, electrical, and computer engineering, allowing them to develop software for embedded systems and control systems. On the other hand, IT specialists have a deep understanding of software development and programming languages, with a focus on creating applications and managing information systems. Ultimately, the better choice depends on the specific requirements of the project and the expertise of the individual professionals involved.
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Where can one find coding programming assignments?
One can find coding programming assignments on various online platforms such as coding websites, coding bootcamps, and online learning platforms. Websites like Codecademy, LeetCode, and HackerRank offer a wide range of coding assignments and challenges for practice. Additionally, coding bootcamps often provide students with programming assignments as part of their curriculum. Online learning platforms like Coursera, Udemy, and edX also offer programming assignments as part of their courses in computer science and programming.
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Is software development legal?
Yes, software development is legal as long as it complies with copyright laws and intellectual property rights. Developers must ensure that they have the necessary licenses for any third-party software or libraries they use, and they must also respect any open-source licenses if they use open-source software. Additionally, developers must adhere to any relevant laws and regulations related to data privacy and security when creating software. Overall, as long as software development is conducted in accordance with the law, it is legal.
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