Joseph Mining has 5 audiobooks on Listento.it, narrated by 2 narrators. The most-rated is Python Machine Learning.
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Aprendizaje Automatizado con Python [Automated Learning with Python]
Summary
Aprendizaje Automatizado con Python! Please note: This audiobook is in Spanish.
©2020 Joseph Mining (P)2020 Joseph Mining
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Aprendizaje Automatizado [Automated Learning]
Summary
El mundo de la tecnología es capaz de captar la imaginación. Hay tantas grandes posibilidades ahí fuera. Desde el reconocimiento de voz hasta el reconocimiento facial, pasando por todos los diferentes tipos de aparatos y software que existen, parece que la tecnología no se va a ralentizar en un futuro próximo. Incluso con todas las cosas geniales que ya tenemos a nuestra disposición, es posible que en unos pocos años, habrá aún más que podemos hacer con esta asombrosa tecnología que no somos capaces de hacer ahora. Y gran parte de ello se debe al aprendizaje automático. Esta guía va a tomar algún tiempo para explorar el aprendizaje automático y de qué se trata. Hay muchos aspectos diferentes del aprendizaje de la máquina y cómo hacer que funcione para sus necesidades, y todo ello se encuentra en esta guía. Algunos de los diferentes temas sobre los que podrá aprender en el interior incluyen: ¿Qué es el aprendizaje automático y por qué un programador querría aprender a usarlo? ¿Es la inteligencia artificial lo mismo que trabajar con el aprendizaje automático? Cómo trabajar con las estadísticas y la probabilidad para entender mejor el aprendizaje automático. Aprender algunos de los bloques de construcción que asegurarán su éxito con el aprendizaje automático. Algunos de los algoritmos de aprendizaje de máquina que puede utilizar en sus propios proyectos. La diferencia entre el aprendizaje supervisado, no supervisado y el aprendizaje de refuerzo. El aprendizaje automático está haciendo grandes cambios en el mundo de la tecnología. Y a medida que más programadores empiecen a aprender acerca de ella y cómo usarla, las posibilidades van a seguir creciendo. Cuando esté listo para aprender más acerca de lo que significa el aprendizaje de la máquina, y cómo puede beneficiarse de ello en su propia programación y codificación, asegúrese de consultar esta guía para ayudarle a comenzar. Desplácese a la parte superior de la página y seleccione el botón Comprar ahora! Traducción realizada con la versión gratuita del traductor www.DeepL.com/Translator Please note: This audiobook is in Spanish.
©2019 Joseph Mining (P)2019 Joseph Mining
Python Programming: The Crash Course to Learn how To Master Python Coding Language with Practical Exercises to Apply Theory and Some Tips and Tricks to Learn Faster Computer Programming
Summary
Do you have an idea for a neat project or an application, but you just don’t have the coding experience necessary to bring it to life? Are you interested in learning more about Python Programming? If you were able to answer yes, then keep reading.... Inside this guidebook, we are going to explore some of the basics that you need to know in order to get started with the Python coding language. There may be a lot of different languages out there that you can use, and many of them can help you write great codes in no time at all - none are going to provide you with the ease as well as the power behind your codes as you are able to find with the Python language. This guidebook is going to help you go from beginner to a professional in this coding language in no time. We are going to explore a lot of the different aspects of a Python code to ensure that you are able to write some of your own codes in no time. Some of the different topics that we are going to explore inside this guidebook include: The basics of the Python code The reasons that many programmers are flocking to this coding language and eager to learn more How to install this language, as well as all of its components, on any operating system that you choose Some of the basics of coding with Python and how to read the codes that we will work on How to raise your own exceptions Working with conditional statements to help your program make its own decisions The importance of inheritances to clean up the code and make life easier Working with the for, while, and nested loops How regular expressions can help you out with writing your own codes What the generators are all about and how to use them to add some more strength to your own codes And so much more. The Python coding language is one of the best programming languages out there for both beginners and more experienced programmers to learn how to use. It has a lot of power, is easy to learn how to use and read, and even works with other coding languages, if that is what your program needs. When you are ready to learn more about some of the basics that come with the Python language, make sure to check out this guidebook to help you get started! Scroll to the top of the page and select the buy now button!
©2019 Joseph Mining (P)2019 Joseph Mining
Machine Learning
Summary
The world of technology is able to capture the imagination. There are so many great possibilities out there. From voice recognition to facial recognition to all of the different types of gadgets and software out there, it seems like technology is not going to slow down any time soon. Even with all of the cool things that we already have at our disposal, it is possible that in even a few years, there will be even more that we can do with this amazing technology that we are not able to do now. And much of it is due to machine learning.
This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include:
What is machine learning, and why would a programmer want to learn how to use it?
Is artificial intelligence the same as working with machine learning?
How to work with statistics and probability in order to understand more about machine learning.
Learning some of the building blocks that will ensure your success with machine learning.
Some of the machine learning algorithms that you can use on your own projects.
The difference between supervised, unsupervised and reinforcement learning.
Machine learning is making some big changes in the world of technology. And as more programmers start to learn about it and how to use it, the possibilities are going to keep growing.
When you are ready to learn more about what machine learning is all about, and how you are able to benefit from it in your own coding and programming, make sure to check out this guidebook to help you get started.
©2019 Joseph Mining (P)2019 Joseph Mining
Python Machine Learning
Summary
The world of machine learning is changing all the time. The idea that we are able to take a computer and let it learn as it goes is so amazing. Without having to write out all of the codes that we need for every situation out there, or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own.
This audiobook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. If you are interested in knowing more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you!
Some of the topics that we will explore in this audiobook include:
Understanding some of the basics of machine learning
Different parts that you need to know to get started with machine learning and the Python language
What is Python and some of the basic parts of writing codes in this language
How to set up the right environment in Python and get the libraries set up
Understanding the Scikit-Learn library, and why it is so important to work with this type of library
How to work with the K-Nearest Neighbors (KNN) algorithm
What are support vector machines, random forest algorithm, and recurrent neural networks?
What are linear classifiers?
How K-Means clustering is going to be different from KNN
Other great things that you are able to do with Python machine learning
The field of machine learning is growing exponentially and with the help of Python and all of the cool tools and libraries that comes with it, you will find that there are endless possibilities of what you will be able to do with it. When you are ready to learn more about Python machine learning and when you want to be able to work toward your own projects and applications with this cool topic, make sure to check out this audiobook to help you get started!
Scroll to the top of the page and select the buy now button!
©2019 Joseph Mining (P)2019 Joseph Mining