Products related to Physics:
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GCSE Physics Online Learning Course
Get qualified for your career with this GCSE Physics Online Learning Course Understand the world around you and satisfy your curiosity with this Physics course Studying physics develops your critical thinking and problem-solving skills Topics will include energy, electricity, atomic structure, force, waves and more Complete your course on your own time with 12-months unlimited access All your course material will be available to you online so you can study from your phone Learning management system helps you track your learning progress Taught by an industry-leading expert. Upgrade your science skills and save 90% on this GCSE Physics Online Learning Course
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Deep Learning For Physics Research
A core principle of physics is knowledge gained from data.Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects.Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning.Adopting a pragmatic approach, basic and advanced applications in physics research are described.Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.
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MRI Physics : Tech to Tech Explanations
MRI PHYSICS MRI PHYSICSTECH TO TECH EXPLANATIONSTechnologists must have a solid understanding of the physics behind Magnetic Resonance Imaging (MRI), including safety, the hows and whys of the quantum physics of the MR phenomenon, and how to competently operate MRI scanners.Generating the highest quality images of the human body involves thorough knowledge of scanner hardware, pulse sequences, image contrast, geometric parameters, and tissue suppression techniques. MRI Physics: Tech to Tech Explanations is designed to help student MRI technologists and radiotherapists preparing for Advanced MRI certification examinations to better understand difficult concepts and topics in a quick and easy manner. Written by a highly experienced technologist, this useful guide provides clear and reader-friendly coverage of what every MR Technologist needs to know.Topics include safety considerations associated with the magnetic field and RF, pulse sequences, artifacts, MRI math, the much-feared gradients, and I.V. contrast. Provides basic guidance on safety considerations, protocols options, critical thinking, and image contrast optimizationSimplifies the challenging topic of MRI physics using straightforward language and clear explanationsCovers content for American Registry of Radiologic Technologists (ARRT) and Continuing Qualifications Requirements (CQR) examsFeatures numerous illustrations and photographs of various MRI concepts, pulse sequence design, artifacts, and the application of concepts in clinical settingsMRI Physics: Tech to Tech Explanations is a must-have resource for the experienced and training MRI technologist, medical students, and radiology residency rotations.
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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.
Price: 38.50 £ | Shipping*: 0.00 £
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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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Don't you feel like learning physics?
As an AI, I don't have feelings or emotions, so I don't have the capacity to feel like learning physics or any other subject. However, I am programmed to have knowledge in a wide range of topics, including physics, and I am always ready to help and provide information on the subject. If you have any specific questions about physics or any other topic, feel free to ask and I'll be happy to assist you.
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Learn Physics With Functional Programming: A Hands-on Guide to Exploring Physics with Haskell
Learn Physics With Functional Programming: A Hands-on Guide to Exploring Physics with Haskell
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Learn Physics With Functional Programming : A Hands-on Guide to Exploring Physics with Haskell
This book teaches you to solve physics problems using the functional programming paradigm.Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics.Haskell's powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations.
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Machine Learning for Physics and Astronomy
A hands-on introduction to machine learning and its applications to the physical sciencesAs the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond.This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method.Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given taskEach chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key conceptsIncludes a wealth of review questions and quizzesIdeal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematicsAccessible to self-learners with a basic knowledge of linear algebra and calculusSlides and assessment questions (available only to instructors)
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Game Physics Engine Development : How to Build a Robust Commercial-Grade Physics Engine for your Game
Physics is really important to game programmers who need to know how to add physical realism to their games.They need to take into account the laws of physics when creating a simulation or game engine, particularly in 3D computer graphics, for the purpose of making the effects appear more real to the observer or player.The game engine needs to recognize the physical properties of objects that artists create, and combine them with realistic motion.The physics ENGINE is a computer program that you work into your game that simulates Newtonian physics and predict effects under different conditions.In video games, the physics engine uses real-time physics to improve realism.This is the only book in its category to take readers through the process of building a complete game-ready physics engine from scratch.The Cyclone game engine featured in the book was written specifically for this book and has been utilized in iPhone application development and Adobe Flash projects. There is a good deal of master-class level information available, but almost nothing in any format that teaches the basics in a practical way.The second edition includes NEW and/or revised material on collision detection, 2D physics, casual game physics for Flash games, more references, a glossary, and end-of-chapter exercises.The companion website will include the full source code of the Cyclone physics engine, along with example applications that show the physics system in operation.
Price: 54.99 £ | Shipping*: 0.00 £
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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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What is a good physics learning program?
A good physics learning program should have a well-structured curriculum that covers the fundamental concepts of physics, as well as advanced topics. It should include interactive and engaging learning materials such as videos, simulations, and hands-on experiments. The program should also provide opportunities for students to practice problem-solving and critical thinking skills through exercises and assessments. Additionally, it should offer support from knowledgeable instructors or tutors to help students understand difficult concepts and provide guidance. Finally, a good physics learning program should be flexible and adaptable to accommodate different learning styles and paces.
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Where should one start with learning physics?
One should start with learning physics by building a strong foundation in mathematics, as it is the language of physics. Understanding concepts such as algebra, calculus, and trigonometry will be essential for grasping the principles of physics. Additionally, starting with introductory physics courses or textbooks can provide a solid understanding of the basic concepts and principles of the subject. Engaging in hands-on experiments and demonstrations can also help to reinforce understanding and make the subject more tangible.
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