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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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Roland Analog Polysynth Collection Software Instrument Bundle
Roland Analog Polysynth Collection Software Instrument Bundle is comprised of five of the worlds most revered synthesizers Roland has ever produced in stunning plug-in format. Brought to life by proprietary ACB (analog circuit behaviour) component level modelling this collection of historic Roland synthesizers delivers the exact tone response and behaviour as the hardware counterparts. Each interaction nuance and instability has been accurately replicated to produce the most authentic sonic experience possible. Harking back to the glory days of analog synthesizers this collection of Roland Polysynths includes the Jupiter-8 Jupiter-4 Juno-60 Juno-106 and JX-3P. Each with its own distinctive flavour you can channel the sounds of the late 70s through to the mid-80s with unrivalled accuracy. Bolstering upgraded feature sets such as improved polyphony additional FX and expanded arpeggiators the Roland Analog Polysynth Collection is the ultimate bundle for producers musicians and mixing engineers. Offering full compatibility as a Plug-Out in a range of Roland hardware you can take your sounds with you wherever you go with on-the-fly preset adjustments. Whether youre looking to emulate the classic sounds of late 70s prog 80s dance or pop music the Roland Analog Polysynth Collection is the choice for you. Please Note: This product comes in the form of a digital download code that will be sent to your email for activation.
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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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What difficulties are there in learning a musical instrument?
Learning a musical instrument can be challenging due to the physical coordination required to play the instrument effectively. It also requires dedication and consistent practice to improve skills and develop musical proficiency. Additionally, understanding music theory and notation can be complex for beginners. Lastly, overcoming frustration and staying motivated during the learning process can be difficult for some individuals.
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Is the piano a string instrument or a keyboard instrument?
The piano is considered a keyboard instrument. While it does have strings inside that produce sound when struck by hammers, the primary way of playing the piano is by pressing keys on the keyboard. The keys are connected to the hammers that strike the strings, making it a unique hybrid instrument that combines elements of both string and keyboard instruments.
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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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Klevgrand Ting Percussion Instrument EN Global (Software License)
This product is a brand new and unused Klevgrand Ting Percussion Instrument EN Global (Software License)
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Modern Python Programming using ChatGPT : 10x your software development skills with Python
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Three-Ball Instrument Breath Training Student Vital Capacity Measuring Instrument Lung Function
Three-Ball Instrument Breath Training Student Vital Capacity Measuring Instrument Lung Function
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Three-Ball Instrument Breath Training Student Vital Capacity Measuring Instrument Lung Function
Three-Ball Instrument Breath Training Student Vital Capacity Measuring Instrument Lung Function
Price: 3.45 € | Shipping*: 1.99 €
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What difficulties are there in learning to play a musical instrument?
Learning to play a musical instrument can be challenging for several reasons. Firstly, it requires physical coordination and dexterity to manipulate the instrument and produce the desired sound. Additionally, mastering the techniques and building muscle memory takes time and practice. Furthermore, understanding music theory and reading sheet music can be daunting for beginners. Finally, staying motivated and disciplined to practice regularly can also be a struggle for some learners.
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Which instrument suits me?
The best instrument for you depends on your personal preferences, physical abilities, and musical interests. Consider trying out different instruments to see which one feels the most comfortable and enjoyable for you to play. You may also want to consider factors such as the type of music you enjoy listening to and the sound you are drawn to. Ultimately, the instrument that suits you best is the one that you feel a strong connection with and enjoy playing.
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What is instrument intelligence?
Instrument intelligence refers to the ability of an instrument or device to gather, analyze, and interpret data in order to make informed decisions or take appropriate actions. This can include the use of sensors, algorithms, and machine learning to process and understand the information being collected. Instrument intelligence enables devices to operate autonomously, optimize performance, and adapt to changing conditions without human intervention. It is a key component of the Internet of Things (IoT) and is increasingly important in fields such as manufacturing, healthcare, and environmental monitoring.
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What are instrument grants?
Instrument grants are funding opportunities provided to researchers and institutions to acquire or upgrade scientific equipment and instruments. These grants are typically awarded by government agencies, private foundations, or other funding bodies to support the advancement of research in various fields. Instrument grants help researchers access the tools and technology necessary to conduct high-quality experiments and investigations, ultimately contributing to scientific progress and innovation.
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