Bøger af Paige Jacobs

You've learned the fundamentals of SQL programming. You've done some basic data manipulation that makes it feel SQL is now your thing. Yet, you're not feeling competent enough to play around with the complexity and versatility of the language, or based on your basic SQL programming skills, you think SQL is not as robust of a programming language as people preach. The truth is, SQL can be a tricky programming language if not well mastered. The programming language is a verbose one that requires adequate learning and years of practice to properly learn a good number of the tricks and techniques offered by the language. This is the motivation with which I wrote this book. If you want to go past the basic SELECT, INSERT, UPDATE and DELETE statements in SQL programming at a pace that saves you time without getting you tired of the learning process because of unclear complexities, then this book is for you. This book doesn't try to compress one year of learning into one month but rather explicitly covers advanced techniques used in SQL programming, for you to better understand and be able to use them in practice more quickly.The examples used to explain several concepts in this book mimic real-life scenarios. This way, you can imagine yourself working on an actual company's database so that your first or next experience with professionally using SQL will not be vague and confusing. Standard statements are used to provide solutions to the problems defined in this book, and I use DBMS-specific statements where appropriate. Some of the techniques covered in this book include but are not limited to: creating and using stored routines such as functions and procedures, using correlated and uncorrelated sub queries, using loops and conditional statement to handle complex logic, using triggers to monitor data manipulations that occurs in a database to ensure data integrity and avoid inappropriate events from making changes to the database, how to protect database from SQL injection and database administration.This book also provides insight into some basic SQL techniques that are useful but not commonly emphasized. These include transactions, rollback, save points, etc. I also provide you with a reference page for additional information beyond what the book offers.

Hay diferentes procesos que están incluidos dentro del significado del término "aprendizaje". Si se refiere a un diccionario y busca el significado de aprendizaje, entonces se encontrará con diferentes frases como "para adquirir conocimiento, comprensión o habilidad, a través de estudio, experiencia o instrucción "y" el cambio en las tendencias de comportamiento a través de la experiencia ".Si lo mira de manera superficial, con respecto a las máquinas, es seguro decir que cualquier cambio en la estructura de la máquina, los datos almacenados en la memoria o su composición de datos, con el fin de mejorar la eficiencia y la eficacia de la máquina. El rendimiento es un signo innegable de aprendizaje en una máquina. Cuando comienza a profundizar en este tema, solo un par de estos cambios se pueden clasificar como aprendizaje automático.En este libro, aprenderá sobre el aprendizaje automático utilizando Python. La información que se proporciona en cada uno de los capítulos mejorará su comprensión de la programación de aprendizaje automático mediante Python. Los códigos de muestra junto con los estudios de caso le permitirán probar su conocimiento.¡Comience con sus conocimientos de Machine Learning con Python con este libro!

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 book, 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 book to start your journey!

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 and thousands of rows of data. In this book, you will gather information about what SQL is and why it is important to learn SQL. This book 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 book 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 book to start your journey!

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!

En las últimas décadas, se han desarrollado muchos lenguajes de programación, y solo algunos se han mantenido. Algunos ejemplos son C, que es un sistema operativo y de desarrollo de servidores popular para sistemas integrados. Cuando se trata de bases de datos, el lenguaje de consulta estructurado (SQL) ha existido desde la década de 1970.Puede usar SQL para crear, generar, administrar y manipular desde bases de datos relacionales. La mayoría de las empresas prefieren utilizar una base de datos relacional, ya que puede almacenar cientos y miles de filas de datos.En este libro, recopilará información sobre qué es SQL y por qué es importante aprender SQL. Este libro también cubre algunos de los comandos básicos que se usan en SQL y explica cómo puede usar esos comandos para manipular información en tablas y conjuntos de datos. Este libro cubre información sobre diferentes tipos de datos, operadores y funciones que puede utilizar para trabajar con datos y analizarlos.Debes continuar practicando si quieres dominar SQL. Está bien no saber qué código usar cuando empiezas a aprender a codificar en un idioma. Solo cuando practique, sabrá dónde debe aplicar un operador o función específica.Así que empieza a aprender a ser un maestro de SQL y toma este libro para comenzar tu viaje

Learning is a crucial factor in intelligence. The realization of intelligent systems by computers, which are not programmed but trained, is the goal of Artificial Intelligence. Machine learning deals with the necessary methods and algorithms to provide artificial intelligence. These formulate different learning objectives, address diverse application areas, and make different demands on existing data.Anyone who wants to intelligently use more substantial amounts of data to generate added value from them needs an overview of machine learning. On the other hand, a deeper algorithmic understanding is required to estimate effort and to increase success rates through adjustments. The aim of the book is, therefore, to make learners fit for machine learning (theoretical and practical). We will work with Python and related libraries offering open-source and state-of-the-art implementations. Also, we look at aspects of machine learning in the cloud with concrete examples.The "Advanced Machine Learning with Python" teaches the formalization of learning problems, methods for dimensionality reduction and input engineering as well as ensemble methods. Participants will be familiar with the Python Machine Learning tools following the training.Machine learning, as part of artificial intelligence, is about using the right features to construct the right models for solving a specific task. Models are nothing more than the output of algorithms applied to the data.We learn which algorithms exist for which tasks and how we can use them with Scikit-learn in Python. We'll go through advanced aspects, such as scalability of solutions and the combination of models, as well as discussing deep learning, currently the hottest topic in machine learning.Machine learning doesn't work for any particular industry; instead, it works in virtually all of them in some way. We have aimed the further education module at all those who are already analyzing data or would like to do more in the future and would like to acquire more competences. If you want to understand how Python can help answer critical questions about your data, you've come to the right place. Whether you are a beginner or want to deepen your knowledge in the field of data science, this book is an indispensable source of information and well worth the time it will take to read. Now is your chance to advance your knowledge of machine learning with the use of Python. What are you waiting for? Get started now!