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Tag: JavaScript

  • JavaScript for AI and Machine : Learning From Fundamentals to Advanced Applications

    JavaScript for AI and Machine : Learning From Fundamentals to Advanced Applications


    Price: $9.99
    (as of Dec 25,2024 14:45:27 UTC – Details)


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    ASIN ‏ : ‎ B0DJCDML22
    Publication date ‏ : ‎ September 30, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 1359 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 213 pages


    JavaScript for AI and Machine Learning: Learning From Fundamentals to Advanced Applications

    JavaScript is a powerful and versatile programming language that is not just limited to building websites and web applications. In recent years, JavaScript has also emerged as a popular choice for developing AI and machine learning applications due to its ease of use and flexibility.

    If you are looking to learn how to use JavaScript for AI and machine learning, this post is for you. We will cover everything from the fundamentals of AI and machine learning to advanced applications using JavaScript.

    Fundamentals of AI and Machine Learning

    Before diving into using JavaScript for AI and machine learning, it is important to understand the fundamentals of these concepts. AI refers to the simulation of human intelligence in machines that are programmed to think and act like humans. Machine learning is a subset of AI that allows machines to learn from data and improve their performance over time without being explicitly programmed.

    To get started with AI and machine learning, you will need to learn about algorithms, data structures, and statistical concepts. Understanding these fundamentals will help you build a strong foundation for using JavaScript in AI and machine learning applications.

    Using JavaScript for AI and Machine Learning

    JavaScript can be used for a wide range of AI and machine learning tasks, including data preprocessing, model training, and deployment. There are several libraries and frameworks available in JavaScript that make it easy to build AI and machine learning applications. Some popular libraries include TensorFlow.js, Brain.js, and Synaptic.

    With JavaScript, you can build AI and machine learning models for tasks such as image recognition, natural language processing, and recommendation systems. You can also deploy these models on the web using tools like TensorFlow.js and Node.js.

    Advanced Applications

    Once you have mastered the fundamentals of AI and machine learning with JavaScript, you can explore advanced applications in areas such as deep learning, reinforcement learning, and generative adversarial networks (GANs). These advanced techniques can help you build more sophisticated AI and machine learning models that can solve complex problems.

    In conclusion, JavaScript is a versatile language that can be used for AI and machine learning applications. By learning the fundamentals of AI and machine learning and exploring advanced applications, you can leverage the power of JavaScript to build innovative AI solutions. Whether you are a beginner or an experienced developer, JavaScript for AI and machine learning offers endless possibilities for creating intelligent applications.
    #JavaScript #Machine #Learning #Fundamentals #Advanced #Applications

  • Thames & Kosmos Robotics Workshop with Micro:Bit STEM Experiment Kit, Creative, Educational Coding & Programming Curriculum for Home & School Use, Utilizes MakeCode App to Learn Python, Javascript

    Thames & Kosmos Robotics Workshop with Micro:Bit STEM Experiment Kit, Creative, Educational Coding & Programming Curriculum for Home & School Use, Utilizes MakeCode App to Learn Python, Javascript


    Price: $279.95 – $174.99
    (as of Dec 25,2024 02:02:48 UTC – Details)


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    An intuitive, state-of-the-art building and robotics kit for serious engineers and makers! Packed with hundreds of durable, reusable components, and designed for both home and school use, this comprehensive and engaging curriculum gives young learners the tools to explore the field of robotic engineering like never before. The kit begins with instructions to build 14 simple motorized robots with sensors that can control the robots. With over one hundred snap-together, versatile building pieces, kids can also construct new robots of their own design! Once you’ve built your robots, you’ll add code to program them and bring them to life. Robotics Workshop utilizes the award-winning micro:bit, a tiny computer that kids can program using the free web or app-based platform MakeCode. Through MakeCode, kids can begin their coding journey with easy-to-understand visual block-based coding, and then stretch themselves to learn the most relevant coding languages of the tech industry: Python and JavaScript. A 32-page full-color manual and tons of online resources feature step-by-step illustrated building instructions and explanations for how to program and operate the robot models. Also needed: a tablet running iOS or Android and/or a PC with Internet access. MakeCode is free and web-based, so there are no PC system requirements.
    An intuitive, state-of-the-art building and robotics kit for serious engineers and makers, this detailed curriculum is ideal for all types of learning environments–at home or in traditional classrooms.
    Learn to program and code as you build unique robots from durable and reusable plastic building pieces and with a variety of sensors.
    Incorporates micro:bit, an award-winning tiny computer and an ideal first microcontroller for kids interested in learning about various coding languages.
    Program your robots using the open-source platform MakeCode, available on any device and as a web app on Chromebook, allowing for high accessibility.
    Provides a thorough opportunity for kids to explore real-life tech firsthand and introduces them to the most relevant coding languages in the indusry: Python and JavaScript.


    Are you looking for a fun and educational way to introduce your child to the world of robotics and coding? Look no further than the Thames & Kosmos Robotics Workshop with Micro:Bit STEM Experiment Kit!

    This innovative kit is perfect for both home and school use, providing a creative and engaging way for children to learn about coding and programming. The kit utilizes the MakeCode app, allowing kids to learn Python and Javascript in a hands-on and interactive way.

    With a variety of experiments and projects to complete, children will have the opportunity to build and program their own robots, while also learning valuable STEM skills along the way. Whether your child is a beginner or an experienced coder, this kit is sure to provide hours of entertainment and educational value.

    Don’t miss out on this exciting opportunity to spark your child’s interest in robotics and coding. Get your Thames & Kosmos Robotics Workshop with Micro:Bit STEM Experiment Kit today!
    #Thames #Kosmos #Robotics #Workshop #MicroBit #STEM #Experiment #Kit #Creative #Educational #Coding #Programming #Curriculum #Home #School #Utilizes #MakeCode #App #Learn #Python #Javascript

  • Internet of Things with Raspberry Pi 3: Leverage the power of Raspberry Pi 3 and JavaScript to build exciting IoT projects

    Internet of Things with Raspberry Pi 3: Leverage the power of Raspberry Pi 3 and JavaScript to build exciting IoT projects


    Price: $2.51
    (as of Dec 24,2024 15:36:52 UTC – Details)


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    ASIN ‏ : ‎ B077NBHWN4
    Publisher ‏ : ‎ Packt Publishing; 1st edition (April 30, 2018)
    Publication date ‏ : ‎ April 30, 2018
    Language ‏ : ‎ English
    File size ‏ : ‎ 16628 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 411 pages


    The Internet of Things (IoT) is revolutionizing the way we interact with everyday objects and devices. With the Raspberry Pi 3, a small and affordable computer, and JavaScript, a popular programming language, you can leverage the power of IoT to build exciting projects that connect the physical world to the digital world.

    In this post, we will explore how you can use the Raspberry Pi 3 and JavaScript to create innovative IoT projects. Whether you are a beginner or an experienced developer, the possibilities are endless when it comes to building IoT solutions with these tools.

    One of the key advantages of using the Raspberry Pi 3 for IoT projects is its versatility. With built-in Wi-Fi and Bluetooth capabilities, GPIO pins for connecting sensors and actuators, and a powerful processor, the Raspberry Pi 3 is the perfect platform for building IoT devices. By combining the Raspberry Pi 3 with JavaScript, you can easily write code to control your devices, collect data, and communicate with other devices over the internet.

    To get started with IoT projects using Raspberry Pi 3 and JavaScript, you can begin by setting up your Raspberry Pi 3 with the Raspbian operating system and Node.js, a JavaScript runtime. From there, you can start experimenting with different sensors, such as temperature and humidity sensors, motion sensors, and cameras, to collect data from the physical world.

    Once you have collected data from your sensors, you can use JavaScript to process and analyze the data, and then take action based on the results. For example, you could build a smart home system that automatically adjusts the temperature in your house based on the weather outside, or a smart garden system that waters your plants when the soil is dry.

    In addition to building standalone IoT devices, you can also create interconnected IoT systems by connecting multiple Raspberry Pi 3 devices together. By using technologies such as MQTT (Message Queuing Telemetry Transport) or WebSocket, you can enable your devices to communicate with each other and share data in real-time.

    Overall, the combination of Raspberry Pi 3 and JavaScript provides a powerful and flexible platform for building exciting IoT projects. Whether you are interested in home automation, environmental monitoring, or industrial control, the possibilities are endless when it comes to creating innovative IoT solutions with these tools. So why wait? Start building your own IoT projects today and unleash the full potential of the Internet of Things with Raspberry Pi 3 and JavaScript.
    #Internet #Raspberry #Leverage #power #Raspberry #JavaScript #build #exciting #IoT #projects

  • Deep Learning with JavaScript: Neural networks in TensorFlow.js

    Deep Learning with JavaScript: Neural networks in TensorFlow.js


    Price: $49.99 – $44.01
    (as of Dec 24,2024 12:26:05 UTC – Details)


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    Publisher ‏ : ‎ Manning; First Edition (February 11, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 560 pages
    ISBN-10 ‏ : ‎ 1617296171
    ISBN-13 ‏ : ‎ 978-1617296178
    Item Weight ‏ : ‎ 2.02 pounds
    Dimensions ‏ : ‎ 7.38 x 1.1 x 9.25 inches


    Deep Learning with JavaScript: Neural networks in TensorFlow.js

    In recent years, deep learning has revolutionized the field of artificial intelligence, enabling machines to learn and make decisions in a way that mimics the human brain. One popular framework for building neural networks is TensorFlow, developed by Google. And now, with the release of TensorFlow.js, developers can harness the power of deep learning directly in the browser using JavaScript.

    TensorFlow.js allows you to build, train, and deploy machine learning models entirely in the browser, without the need for any server-side computations. This opens up a world of possibilities for web developers looking to incorporate AI into their applications.

    Neural networks, the building blocks of deep learning, can be created with just a few lines of code in TensorFlow.js. By defining layers, activation functions, and optimization algorithms, you can train a model to recognize patterns in data and make predictions.

    Whether you’re interested in image recognition, natural language processing, or any other machine learning task, TensorFlow.js makes it easy to experiment and iterate on your models. And with the ability to run these models directly in the browser, you can create interactive experiences that respond in real-time to user input.

    So if you’re looking to dive into the world of deep learning with JavaScript, give TensorFlow.js a try. With its intuitive API and powerful capabilities, you’ll be on your way to building intelligent applications in no time.
    #Deep #Learning #JavaScript #Neural #networks #TensorFlow.js

  • HTML, CSS and Javascript Crash Course: Learn HTML, CSS & Javascript From Scratch and Master It

    HTML, CSS and Javascript Crash Course: Learn HTML, CSS & Javascript From Scratch and Master It


    Price: $14.99
    (as of Dec 23,2024 00:54:53 UTC – Details)


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    ASIN ‏ : ‎ B0DBQ2X22F
    Publication date ‏ : ‎ July 30, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 14695 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 170 pages


    Are you looking to learn HTML, CSS, and Javascript from scratch and master these essential web development skills? Look no further than our crash course!

    In this course, we’ll cover everything you need to know to get started with HTML, CSS, and Javascript. From the basics of setting up your development environment to creating interactive web pages, you’ll learn it all in no time.

    Whether you’re a complete beginner or looking to refresh your skills, this crash course is perfect for anyone who wants to dive into web development. By the end of the course, you’ll be able to create your own websites and impress your friends and colleagues with your newfound skills.

    So what are you waiting for? Enroll now and start your journey to becoming a master of HTML, CSS, and Javascript!
    #HTML #CSS #Javascript #Crash #Learn #HTML #CSS #Javascript #Scratch #Master, Cisco Software

  • Learning Tensorflow.js: Powerful Machine Learning in JavaScript by Gant Laborde

    Learning Tensorflow.js: Powerful Machine Learning in JavaScript by Gant Laborde



    Learning Tensorflow.js: Powerful Machine Learning in JavaScript by Gant Laborde

    Price : 31.22

    Ends on : N/A

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    TensorFlow.js is a powerful machine learning library that allows developers to harness the capabilities of machine learning directly in JavaScript. In his book, “Learning TensorFlow.js: Powerful Machine Learning in JavaScript”, Gant Laborde provides a comprehensive guide to using TensorFlow.js for building machine learning models in the browser or on Node.js.

    Laborde starts by introducing the basics of machine learning and deep learning, making it accessible to those who are new to the field. He then dives into TensorFlow.js, demonstrating how to create and train models for tasks such as image classification, object detection, and natural language processing.

    One of the key strengths of TensorFlow.js is its ability to run machine learning models directly in the browser, allowing for real-time inference without the need for server-side processing. Laborde shows how to deploy models to the web using TensorFlow.js, opening up new possibilities for interactive and intelligent applications.

    Whether you’re a seasoned machine learning practitioner or a JavaScript developer looking to expand your skillset, “Learning TensorFlow.js: Powerful Machine Learning in JavaScript” is a valuable resource for understanding and applying machine learning techniques in a JavaScript environment. With Laborde’s clear explanations and practical examples, you’ll be well-equipped to leverage the full power of TensorFlow.js in your projects.
    #Learning #Tensorflow.js #Powerful #Machine #Learning #JavaScript #Gant #Laborde

  • High Performance JavaScript: Build Faster Web Application Interfaces

    High Performance JavaScript: Build Faster Web Application Interfaces



    High Performance JavaScript: Build Faster Web Application Interfaces

    Price : 5.51

    Ends on : N/A

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    High Performance JavaScript: Build Faster Web Application Interfaces

    In today’s fast-paced digital world, speed is key when it comes to web application interfaces. Users expect seamless and quick interactions when navigating through websites and apps. To achieve this level of performance, developers need to optimize their JavaScript code to ensure the smoothest experience for users.

    Here are some tips to help you build faster web application interfaces using high performance JavaScript:

    1. Minimize DOM manipulation: DOM manipulation can be a resource-intensive operation, so it’s important to minimize it wherever possible. Instead of constantly updating the DOM, consider using techniques like virtual DOM or batch updates to reduce the number of reflows and repaints.

    2. Use event delegation: Instead of attaching event listeners to individual elements, use event delegation to listen for events at a higher level in the DOM tree. This can help reduce the number of event handlers and improve performance, especially on pages with a large number of elements.

    3. Optimize animations: Animate elements using CSS transitions or animations whenever possible, as they are typically more performant than JavaScript-based animations. Use hardware acceleration for smoother animations and consider using requestAnimationFrame for optimal performance.

    4. Lazy loading: Load resources like images, scripts, and stylesheets only when they are needed, rather than all at once. This can help reduce page load times and improve overall performance, especially on pages with a lot of content.

    5. Use a performance monitoring tool: Monitor the performance of your web application using tools like Lighthouse, WebPageTest, or Chrome DevTools. These tools can help identify performance bottlenecks and provide insights on how to optimize your code for better performance.

    By following these tips and best practices, you can build faster web application interfaces that provide a seamless user experience. High performance JavaScript is crucial for creating responsive and efficient web applications that keep users coming back for more.
    #High #Performance #JavaScript #Build #Faster #Web #Application #Interfaces

  • In Easy Steps books For Web Design, HTML5, CSS3, Javascript, Jquery,PHP, Android

    In Easy Steps books For Web Design, HTML5, CSS3, Javascript, Jquery,PHP, Android



    In Easy Steps books For Web Design, HTML5, CSS3, Javascript, Jquery,PHP, Android

    Price : 30.00

    Ends on : N/A

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    Are you looking to learn web design and development in easy steps? Look no further! We have compiled a list of essential books that will help you master HTML5, CSS3, Javascript, Jquery, PHP, and Android development.

    1. “HTML and CSS: Design and Build Websites” by Jon Duckett – This beautifully designed book is perfect for beginners looking to learn HTML and CSS in a visually engaging way.

    2. “JavaScript and JQuery: Interactive Front-End Web Development” by Jon Duckett – Dive into the world of JavaScript and JQuery with this comprehensive guide that covers everything from basic syntax to advanced techniques.

    3. “PHP and MySQL for Dynamic Web Sites” by Larry Ullman – Learn how to create dynamic websites using PHP and MySQL with this practical guide that includes step-by-step tutorials.

    4. “Android Programming: The Big Nerd Ranch Guide” by Bill Phillips and Chris Stewart – If you want to develop Android apps, this book is a must-read. It covers everything from Android Studio to advanced topics like networking and database integration.

    With these books, you’ll be well on your way to mastering web design and development. Happy coding!
    #Easy #Steps #books #Web #Design #HTML5 #CSS3 #Javascript #JqueryPHP #Android

  • JavaScript for Data Science: Advanced Techniques in Analysis, Visualization, and Machine Learning

    JavaScript for Data Science: Advanced Techniques in Analysis, Visualization, and Machine Learning


    Price: $11.99
    (as of Dec 18,2024 08:23:05 UTC – Details)


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    ASIN ‏ : ‎ B0DJNVW272
    Publisher ‏ : ‎ Independently published (October 7, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 204 pages
    ISBN-13 ‏ : ‎ 979-8341013889
    Item Weight ‏ : ‎ 13 ounces
    Dimensions ‏ : ‎ 6 x 0.46 x 9 inches


    JavaScript for Data Science: Advanced Techniques in Analysis, Visualization, and Machine Learning

    In this post, we will explore how JavaScript can be used for advanced techniques in data science, including analysis, visualization, and machine learning. JavaScript is a powerful programming language that is commonly used for web development, but it can also be leveraged for data science tasks.

    We will discuss how JavaScript libraries such as D3.js can be used for data visualization, allowing for interactive and dynamic visualizations of data. We will also explore how JavaScript can be used for data analysis, including techniques such as data cleaning, manipulation, and transformation.

    Additionally, we will delve into how JavaScript can be used for machine learning tasks, including building and training machine learning models. JavaScript libraries such as TensorFlow.js make it possible to implement machine learning algorithms directly in the browser, opening up new possibilities for deploying machine learning models on the web.

    Overall, JavaScript offers a flexible and versatile tool for data science tasks, allowing for advanced analysis, visualization, and machine learning capabilities. Stay tuned for more insights and tips on using JavaScript for data science.
    #JavaScript #Data #Science #Advanced #Techniques #Analysis #Visualization #Machine #Learning

  • Deep Learning with JavaScript: Building Neural Networks with TensorFlow.js and Brain.js

    Deep Learning with JavaScript: Building Neural Networks with TensorFlow.js and Brain.js


    Price: $3.99
    (as of Dec 18,2024 05:54:46 UTC – Details)


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    In this post, we will explore the exciting world of deep learning with JavaScript by building neural networks using two popular libraries, TensorFlow.js and Brain.js.

    Deep learning has revolutionized many industries, from healthcare to finance to autonomous driving. And now, with the power of JavaScript, developers can harness the capabilities of neural networks right in their web applications.

    TensorFlow.js is an open-source library developed by Google that allows developers to build and train machine learning models directly in the browser. With TensorFlow.js, you can create and deploy deep learning models without needing to install any additional software or frameworks.

    Brain.js, on the other hand, is a lightweight JavaScript library that provides a simple and flexible API for building neural networks. It is perfect for developers who want to quickly experiment with neural networks and understand their inner workings.

    In this post, we will cover the basics of deep learning, including what neural networks are, how they work, and why they are so powerful. We will then dive into hands-on examples of building neural networks with TensorFlow.js and Brain.js, showcasing their unique features and capabilities.

    By the end of this post, you will have a solid understanding of deep learning with JavaScript and be ready to start building your own neural networks for a wide range of applications. So grab your favorite code editor and let’s dive into the exciting world of deep learning with JavaScript!
    #Deep #Learning #JavaScript #Building #Neural #Networks #TensorFlow.js #Brain.js

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