Products related to Learning:
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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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Learning Object-Oriented Programming
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The Learning and Development Handbook : A Learning Practitioner’s Toolkit
The skills needed in today's business world are not the same as they used to be.As a result companies must embrace upskilling, reskilling and developing staff to achieve the productivity, performance, personal well-being and revenue benefits that come from effective learning. Workplace learning works best when it is collaborative, accessible and immediate.The Learning and Development Handbook is a practical guide for L&D professionals who recognize this and want to move away from only offering a traditional classroom towards a holistic organizational approach, but are not sure where to start.This updated edition includes a new framework for L&D consulting with advice on how to embed social and digital learning, artificial intelligence, blending learning and how to design more effective, efficient, engaging and enjoyable learning within your organization for improved employee experience and performance.The book also provides guidance on identifying learning needs in an organization, gathering evidence to engage stakeholders, evaluate and measure the effectiveness of learning and align L&D strategy with the overall business strategy.Packed full of tips, advice, hints, tools and frameworks to improve both individual and overall business results in the immediate, middle- and long-term future, and written by an L&D practitioner for L&D practitioners, this is essential reading for anyone in the people and learning profession.
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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 it worth learning web development?
Yes, learning web development can be worth it for many reasons. It is a valuable skill in today's digital age, with a high demand for web developers in the job market. It can also provide opportunities for freelance work and entrepreneurship. Additionally, web development allows you to create and customize websites and web applications, which can be a rewarding and creative endeavor.
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How can one continue learning programming?
One can continue learning programming by taking online courses or tutorials on platforms like Coursera, Udemy, or Codecademy. Joining coding communities and forums can also help in learning from others and getting support. Additionally, working on personal projects and practicing regularly can further enhance programming skills. Finally, staying updated with the latest programming languages and technologies through blogs, podcasts, and attending workshops can also contribute to continuous learning.
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How do I start learning programming?
To start learning programming, you can begin by choosing a programming language to focus on, such as Python, Java, or JavaScript. Next, familiarize yourself with the basic concepts of programming, such as variables, data types, loops, and functions. There are many online resources available, such as tutorials, courses, and coding platforms, that can help you learn programming at your own pace. Practice coding regularly and work on small projects to apply what you have learned and improve your skills.
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The Learning and Development Handbook : A Learning Practitioner's Toolkit
The skills needed in today's business world are not the same as they were in the past.Therefore, upskilling, reskilling and developing staff has never been more important.However, classroom training isn't the best way to achieve this with employees forgetting more than 70% of what they've been taught within just one day.Learning outside the workplace is social, digital and immediate and companies need to embrace this to achieve the productivity, performance and revenue benefits that come from effective learning.The Learning and Development Handbook is a practical guide for L&D professionals wanting to move away from traditional classroom teaching but not sure where to start.Full of practical tips and advice, this is urgent reading for anyone in the learning profession. The Learning and Development Handbook includes advice on how to embed social and digital learning, make the most of blended learning, adopt brain-friendly learning and design more effective learning content for improved employee engagement and performance.This book also provides guidance on how to identify learning needs in an organization, gather evidence to engage stakeholders and align L&D strategy with overall business strategy.There is also expert guidance on how to evaluate and measure the effectiveness of learning, where to find the data needed to support learning activity.Written by an L&D practitioner, for L&D practitioners, this book is packed full of tips, hints, tools and models that can be used to improve both employee and overall business performance in the immediate, middle-term and long-term future.
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Motor Learning and Development
Different from any other motor behavior text on the market, Motor Learning and Development, Third Edition With HKPropel Access, combines two subdisciplines of motor behavior in an accessible and easy-to-follow manner.By uniting these two disciplines under the same cover, the text prepares students to create, apply, and evaluate motor skill programs for people of all skill and development levels. Motor Learning and Development, Third Edition, outlines the fundamental concepts of both motor learning and motor development.It explores movement patterns across all ages throughout the human life span, including the influences of life transitions and individual and sociocultural constraints.The text provides a complete framework for students to consider the many variables for each individual and then create and implement developmentally appropriate movement programs. The third edition has been revised and updated with current research and examples, and it includes the following enhancements:Expanded coverage of fundamental movement skills and skill classificationFour new chapters exploring the assessment of gross motor development, sociocultural constraints, developmental models for instruction, and program designAdditional videos illustrating fundamental motor skills, motor milestones, and infant reflexesNew supplemental activities at the end of each chapter prompting students to apply concepts from the text to their own life experienceMotor Learning and Development, Third Edition, also has related online activities and video clips designed to encourage critical thinking and application of concepts.Lab activities, which can be assigned by instructors in HKPropel, require students to complete hands-on assignments and draw conclusions.Over 90 videos demonstrate people of various ages, including infants, completing motor tasks so students can observe and assess movements throughout the life span firsthand. Other learning aids within the book include chapter objectives, glossary terms, sidebars, and supplemental activities to emphasize the evolution from research to practice.Opening vignettes in each chapter demonstrate the breadth of professions that use research in motor behavior. Motor Learning and Development, Third Edition, offers a foundation for understanding how humans acquire and continue to develop their movement skills throughout the life span. Note: A code for accessing HKPropel is included with this ebook.
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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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Programming PyTorch for Deep Learning : Creating and Deploying Deep Learning Applications
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second.In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element.He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch’s torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud
Price: 44.99 £ | Shipping*: 0.00 £
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What tips are there for learning programming?
Some tips for learning programming include starting with the basics and building a strong foundation, practicing regularly to reinforce your skills, breaking down complex problems into smaller, manageable tasks, seeking help and resources online or from experienced programmers, and working on real-world projects to apply your knowledge in practical scenarios. Additionally, staying patient and persistent, being open to learning from mistakes, and staying curious and exploring new technologies can also help in mastering programming.
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What are some tips for learning programming?
1. Start with the basics: Begin by learning the fundamental concepts of programming such as variables, data types, loops, and conditional statements. 2. Practice regularly: Programming is a skill that requires consistent practice. Set aside dedicated time each day to work on coding exercises and projects. 3. Break down problems: When faced with a coding challenge, break it down into smaller, manageable parts. This will make it easier to tackle and solve the problem. 4. Seek help and resources: Utilize online tutorials, forums, and communities to seek help and learn from others. There are plenty of resources available for free or at a low cost. 5. Build projects: Apply your learning by building real-world projects. This will help you solidify your understanding and showcase your skills to potential employers.
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What are the difficulties in learning programming?
Learning programming can be challenging due to its abstract and logical nature, which may be difficult for some individuals to grasp. Additionally, the vast amount of programming languages and concepts can be overwhelming for beginners. Debugging and troubleshooting errors can also be frustrating and time-consuming. Finally, staying motivated and persistent in the face of complex problems and setbacks can be a challenge for some learners.
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Which programming language is most worth learning?
The programming language that is most worth learning depends on your specific goals and interests. However, some popular and versatile languages that are highly sought after in the industry include Python, JavaScript, and Java. Python is known for its simplicity and readability, making it a great choice for beginners and for a wide range of applications. JavaScript is essential for web development, while Java is widely used in enterprise applications and Android app development. Ultimately, the best language to learn is one that aligns with your career aspirations and the type of projects you want to work on.
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