Mark Graph has 4 audiobooks on Listento.it, narrated by 1 narrator. The most-rated is Python for Data Science.
JavaScript: The Ultimate Guide to Understand JavaScript Code and Its Fundamentals
Summary
Do you want to learn how JavaScript and the major markup languages work? If yes, then keep reading. Hypertext markup language (HTML) is part of the three major elements of modern web pages. The other two are cascading style sheets (CSS) and JavaScript. HTML defines the structure of web pages. HTML contains a lot of features and instructs the browser on how to display content. CSS is responsible for styling while JavaScript is a prototype-based language with top-notch functions utilized by web page authors to control element actions. The three major markup languages concepts are explained further in the book. Cascading style sheets (CSS) is an excellent way of designing web pages. With CSS, you determine the color of an element, angle, visibility, size, and position, and more. CSS can be utilized either within the document or as an independent file which must be referenced by the HTML document. CSS is a standard way of styling an individual or group of elements at once. There are many parts and tasks that come with the JavaScript language, and we are going to take some time to explore these a bit more. This will make it easier for us to see how this language works and what we can do with it. From learning how to write our own objects, expressions, operators, and more, this guidebook has all of the tools that you need in order to get started with writing some of our own codes in JavaScript. Working with a coding language can seem hard to work with. This is not always as easy to choose as the others, but the number of features and capabilities that come with this language compared to some of the other options, especially when we are talking about using this on web pages, then JavaScript is the right choice for you. When you are ready to learn more about the JavaScript language and what you are able to do with it, make sure to check out this guidebook to help you get started. JavaScript is capable of acting on or influencing web pages. JavaScript enhances web user interface by confirming actions taken by the user on the client-side. JavaScript contains three data types, which are number, Boolean, and string. With JavaScript, you can describe the functions of your own. In this book, you will learn more about: Fundamental JavaScript concepts HTML overview JavaScript’s control flow statements The different types of loops in JavaScript Syntax Enabling JavaScript in browsers Placement of JavaScript in files Popup message JavaScript variables JavaScript ECMAScript standard Working with JavaScript: A brief HTML guide for beginners Changing the content of HTML elements using DOM Changing CSS using DOM Pointers Expressions and operators What are some of the JavaScript variables? Variables, data types, and constants Closures and callbacks in JavaScript Apply, call, and bind methods in JavaScript
©2020 Mark Graph (P)2020 Mark Graph
Deep Learning with Python
Summary
This audiobook doesn’t have any superpowers or magic formula to help you master the art of neural networks and deep learning. We believe that such learning is all in your heart. You need to learn a concept by heart and then brainstorm its different possibilities. I don’t claim that after listening to this audiobook you will become an expert in Python and Deep Learning Neural Networks. Instead, you will, for sure, have a basic understanding of deep learning and its implications and real-life applications. Most of the time, what confuses us is the application of a certain thing in our lives. Once we know that, we can relate the subject to that particular thing and learn. An interesting thing is that neural networks also learn the same way. This makes it easier to learn about them when we know the basics. Let’s take a look at what this audiobook has to offer: The basics of Python including data types, operators, and numbers. Advanced programming in Python with Python expressions, types, and much more. A comprehensive overview of deep learning and its link to the smart systems that we are now building. An overview of how artificial neural networks work in real life. An overview of PyTorch. An overview of TensorFlow. An overview of Keras. How to create a convolutional neural network. A comprehensive understanding of deep learning applications and its ethical implications, including in the present and future. This audiobook offers you the basic knowledge about Python and Deep Learning Neural Networks that you will need to lay the foundation for future studies. This audiobook will start you on the road to mastering the art of deep learning neural networks. When I say that I don’t have the magic formula to make you learn, I mean it. My point is that you should learn Python coding and Python libraries to build neural networks by practicing hard. The more you practice, the better it is for your skills. It is only after thorough and in depth practice that you will be able to create your own programs. Unlike other books, I don’t claim that this audiobook will make you a master of deep learning after a single listen. That’s not realistic, in fact, it's even a bit absurd. What I claim is that you will definitely learn about the basics. The rest is practice. The more you practice the better you code.
©2019 Mark Graph (P)2020 Mark Graph
Machine Learning: The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics
Summary
With the help of in-depth explanations, concepts, and ideas regarding machine learning and artificial intelligence, beginners can develop basic AI models that are capable of making accurate predictions and data insights with the best performance. Thus, this book is most suitable for beginners who have an interest in methodologies of artificial intelligence and deep learning. Big data analytics and data sciences have brought a major breakthrough in the current world by introducing models that bring long-term benefits to businesses and industries. By understanding the algorithms and approaches explained in this book, beginners can develop state of the art machine learning models for solving real work problems. By reviewing possible challenges, performances, and implementations of artificial intelligence, neural networks, big data analytics, and deep learning, applications of AI can be developed to improve workflow and system efficiency as well. Moreover, industries and businesses can greatly promote their sales, profits, and performance by considering the techniques and methods set out in this book. However, this book is not only for beginners. Researchers and experts can learn about the latest the findings on artificial intelligence and machine learning for developing powerful algorithms and models. Artificial intelligence and machine learning approaches will definitely help in bringing positive changes to our daily lives. For learning and adopting the major findings, rules, and techniques of artificial intelligence and deep learning, listening to Machine Learning: The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics will surely prove to be of great benefit for students and researchers.
©2019 Mark Graph (P)2020 Mark Graph
Python for Data Science
Summary
This audiobook gives you the perfect foray into data analysis. We discuss data analysis in Python in a way that will benefit you irrespective of your expertise level in Python. At the beginner level, you will appreciate the simple but elaborate approach we use to introduce you to basic Python concepts necessary for data analysis. With this knowledge, you can establish your foundation in data analysis, and build on that over time as you become accustomed to more complex subjects. For intermediate and expert users, you can also benefit from this book by using it as a reminder of some of the key points that define data science. When you dwell in a field for a long time, it is easy to take some things for granted. This happens to many programmers and developers. This audiobook reminds you of the basic building principles that have helped you become one of the best data analysts in your field. Python libraries are some of the most important features in Python programming. The libraries help you perform tasks that would have otherwise been impossible to perform, or cumbersome. We discuss the major Python libraries you will use all the time, and highlight the main ones relevant to data analysis so you can get the distinction. Take note that data science is not an isolated subject. Most of the disciplines that involve Python programming depend on data, so you can expect to use the knowledge learned in this audiobook in other fields, too. For example, when you advance into machine learning, your ability to perform exceptional data analysis will be required to help you build and train relevant machine learning models. Therefore, this audiobook will not just get you ready for data analysis, it will prepare you for various fields in Python programming, including artificial intelligence, deep learning, and machine learning. Besides discussing the main Python libraries, we investigate the major data analysis libraries like Pandas and Matplotlib in-depth. These libraries will form the foundation of most of the data analysis work you perform over the years. Data analysis in Python will help you become an all-rounded developer. The good thing about learning Python is that you can use the knowledge gained to further your career in other programming languages like R. It is important to learn Python for data analysis from a conceptual and fundamental framework so that you set the right tone on which you can build your career further and advance into the future. Unlike other books, I don’t claim that this audiobook will make you a master of data science after a single listen. That’s not realistic, in fact, it's even a bit absurd. What I claim is that you will definitely learn about the basics. The rest is practice. The more you practice the better you code.
©2019 Mark Graph (P)2020 Mark Graph