Paige Jacobs has 4 audiobooks on Listento.it, narrated by 1 narrator. The most-rated is Machine Learning with Python.
Machine Learning with Python
Summary
There are different processes that are included within the meaning of the term learning. If you refer to a dictionary and look up the meaning of learning, then you will come across different phrases like “to gain knowledge, understanding of or skill, through study, experience, or instruction”, and “the change in behavioral tendencies through experience”. If you look at it superficially, in respect to machines, it is safe to say that any change in the structure of the machine, the data stored in the memory, or its data composition, in order to improve the efficiency and the effectiveness of the machine’s performance is an undeniable sign of learning in a machine. When you start to delve deeper into this subject, only a couple of these changes can be categorized as machine learning. In this audiobook, you will learn about machine learning using Python. The information given in each of the chapters will improve your understanding of machine learning programming using Python. The sample codes along with the case studies will enable you to test your knowledge. So get started with your knowledge of Machine Learning with Python with this audiobook!
©2019 afnpublishing (P)2019 afnpublishing
SQL
Summary
In the last few decades, many programming languages have been developed, and there are only some that have stuck around. Some examples are C, which is a popular server development and operating system for embedded systems. When it comes to databases, the Structured Query Language (SQL) has been around since the 1970s. You can use SQL to create, generate, manage, and manipulate from relational databases. Most businesses prefer to use a relational database since it can store hundreds of thousands of rows of data. In this audiobook, you will gather information about what SQL is and why it is important to learn SQL. This audiobook also covers some of the basic commands that are used in SQL and explains how you can use those commands to manipulate information in tables and datasets. This audiobook covers information on different data types, operators, and functions you can use to work with data and analyze data. You should continue to practice if you want to master SQL. It is okay not to know what code to use when you start learning to code in a language. It is only when you practice that you will know where you should apply a specific operator or function. So, start learning to be a master of SQL and grab this audiobook to start your journey!
©2018 Paige Jacobs (P)2019 Paige Jacobs
SQL
Summary
SQL, pronounced ess-que-el, is a domain-specific language; this means that it is made for a certain purpose. Unlike general purpose languages like C++ or Ruby, SQL was made for a singular purpose, and to be excellent at that one purpose. It’s similar to the way HTML is designed to make web pages, and it falls into the same niche as much soft code. While alternatives to SQL like ISAM or VSAM exist, they have largely faded out of use due to SQL’s superiority. SQL is the pioneer of accessing N records with a singular command, and generally works without indexing, which means there’s no need to designate the method by which to reach a record. SQL encompasses pretty much anything you can think of doing with a database, ranging from querying data, to manipulating and defining it. Due to its scope, many people, and even professionals insist on describing SQL as a declarative language. While this is generally true, SQL also incorporates many procedural elements. In this audiobook, we don’t want to teach you the basics of SQL. The parts of SQL you should have learned at school are of no interest to us. We’ll be looking at more advanced forms of SQL, those that your boss would give you a pat on the back for, and probably consider you a programming genius for. Naturally, we’ll guide you step-by-step through this process. When it comes to learning advanced SQL, you’ll find that much of it is not simply about learning commands like "set" or "group by", but that most of it is purely related to your mindset. How well you can understand programming concept, how well you can truly learn to think like a database. So, start learning to be a master of SQL and grab this audiobook to start your journey!
©2019 AFN Publishing (P)2019 AFN Publishing
Machine Learning with Python
Summary
Before going into the field of machine learning, we begin to answer the most important question. Why Python? The answer is simple: it is a powerful and accessible language. Python has become the most widely used programming language for data processing, since it allows you to neglect all the boring aspects of programming, offering an environment in which it is possible to put ideas into practice and see concepts in action. Knowledge is acquired through learning and the key to doing this is our enthusiasm, but mastery of concepts can only come with practice. The road ahead may sometimes be fraught with obstacles and some topics may be more complex than others, but this opportunity and focus on python and machine learning helps to explore, learn and advance. This book contains powerful techniques to your arsenal, which will help you solve even the most difficult problems, based on the available data. Through machine learning, we instruct computers to process, learn and draw useful knowledge from this otherwise impenetrable mountain of data. Starting from the big supercomputers that support Google's search engines, to the smartphones that we all have in our pockets, we constantly rely on machine learning algorithms to try to move the world around us, often without even realizing it. Machine learning, or the application and study of algorithms that extract useful information from the shapeless mass of data, is the most interesting field of computer science. We live in an era where data is available in an overabundant quantity. Using self-learning algorithms in the field of machine learning, we are able to transform this data into knowledge. Thanks to the many and increasingly powerful open source libraries that have been developed over the last few years, there has probably never been a better time to deal with machine learning and python and to learn how to use these powerful algorithms to identify patterns in data and make predictions about future events. So get started with your knowledge of Machine Learning with Python with this book!
©2019 AFN Publishing (P)2019 AFN Publishing