Andrew Park has 5 audiobooks on Listento.it, narrated by 1 narrator. The most-rated is Data Science for Beginners: 4 Books in 1.
Python Data Science
Summary
If you want to learn more about data science or how to master it with the Python programming language, then keep reading... Data science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: What is the next step? Data science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying machine learning algorithms and models, and then presenting your findings from the analysis with some good data visualizations. And this is what you will learn in Python Data Science. You will learn about the main steps that are needed to correctly implement data science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include: What data science is all about and why so many companies are using it to give them a competitive edge Why Python and how to use it to implement data science What is the intersection between machine learning and data science and how to combine them What are the main data structures and object-oriented Python, with practical codes and exercises to use Python What are the functions and modules in Python What are the seven most important algorithms and models in data science What are data aggregation and group operations What are the nine important data mining techniques in data science How do databases and data interact in the cloud Where most books only focus on how collecting and cleaning the data,this book goes further, providing guidance on how to perform a proper analysis in order to extract precious information that may be vital for a business. Don't miss the opportunity to learn more about these topics. Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process data sets, the principles of Python programming, and its most important real-world applications. Would you like to know more? Scroll up and click the “buy now” button to get the audiobook!
©2019 Andrew Park (P)2019 Andrew Park
Python Machine Learning: A Complete Guide for Beginners on Machine Learning and Deep Learning
Summary
If you want to learn how to design and master different machine learning algorithms quickly and easily, then keep listening. Today, we live in the era of artificial intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. Simply put, machine learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of machine learning because within data lie truths whose depths exceed our imagination. Some of the topics that we will discuss inside include: What is machine learning and how it is applied in real-world situations Understanding the differences between deep learning and artificial intelligence Supervised learning, unsupervised learning, and semi-supervised learning The place of regression techniques in machine learning Machine learning training models The 12 essential libraries for machine learning in Python Artificial neural networks While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of machine learning technology and helps you to understand how researchers are breaking the boundaries of data science to mimic human intelligence in machines. Would you like to know more? Get this audiobook now to get started!
©2019 Andrew Park (P)2020 Andrew Park
Python for Data Analysis
Summary
If you want to learn more about data analysis or how to master it with the Python programming language, then keep reading. Everyone talks about data today. You have probably come across the term “data” more times than you can remember in one day. Data, as a concept, is so wide. One thing that is true about data is that it can be used to tell a story. Many tools can be used for data analysis. For this reason, the ultimate choice often becomes a challenge for most people. To set you on the right path, the first step is to decide which language you want to learn, then build from there. With Python for Data Analysis, you will learn about the main steps that are needed to correctly implement data analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include: What data analysis is all about and why businesses are investing in this sector The five steps of a data analysis The seven Python libraries that make Python one of the best choices for data analysis How data visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement data analysis, including data visualization and providing simple coding scripts. Even if you never used data analysis, learning it is easier than it looks. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of data analysis, how to implement them in Python, and the most important real-world applications. If you want to know more about data analysis and how to implement it with Python, then simply click the “Buy Now” button on this page to get started!
©2019 Andrew Park (P)2019 Andrew Park
Python for Beginners
Summary
If you want to learn Python programming in one week (or less) and learn it well, then keep reading. Python is a powerful programming language that can be used for the development of various types of applications. It is an object-oriented programming language and it is interpreted rather than being compiled. Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and data scientists alike are in love with the versatility that Python has to offer. Besides, the object-oriented feature of Python coupled with its flexibility are also some of the major attractions for this language. Programmers are now developing a wide range of mobile as well as web applications that we enjoy on an everyday basis. This book explains every single detail that you must know to start using Python. From Python installation to object-oriented programming, from the definition of data types and variables to a practical application on decision trees. You will learn everything that you need to know to start programming with Python. Some of the topics that we will discuss include: Python installation Python data types Python variables Basic operators of Python language Data structures Learning about functions Conditional and loops in Python Object-oriented programming (OOP) Inheritance and polymorphism Essential programming tools Working with files Exception handling An application to decision trees Where most books about Python programming are theoretical and have few or little practical examples, Python for Beginners provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding. Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of all the examples are provided immediately so you do not have to wait until you have access to your computer to test the examples. Even if you have never coded before, Python for Beginners is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners, so that you can easily master the Python language. Would you like to become a Python geek? Scroll to the top of the page and click the “Buy Now” button to get your copy now! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Andrew Park (P)2020 Andrew Park
Data Science for Beginners: 4 Books in 1
Summary
Did you know that according to Harvard Business Review the data scientist is the sexiest job of the 21st century? And for a reason! If “sexy” means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren’t a lot of people with their combination of scientific background and computational and analytical skills. Data science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century. If you are interested in coding and data science, then you must know Python to succeed in these industries! Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word. This bundle is perfect for programmers, software engineers, project managers, and those who just want to keep up with technology. With this audiobook, you will: Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops Build upon the fundamentals with advanced techniques like object-oriented programming (OOP), inheritance, and polymorphism Discover the importance of data science and how to use it in real-world situations Learn the five steps of data analysis so you can comprehend and analyze data sitting right in front of you Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn Discover how companies can improve their business through practical examples and explanations And much more! This bundle is essential for anyone who wants to study data science and learn how the world is moving to an open-source platform. Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business! Order the bundle and start your new career path today! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2020 Andrew Park (P)2020 Andrew Park