Learning Technology

SQL, or structured query language, has been around since the '80s. It has proven to be effective and efficient, making it the ideal solution for your database demands. The best part? You can learn how to program using SQL in just nine chapters. This audiobook introduces you to the basics of programming using comprehensive examples and step-by-step practice problems that sets you up for success.

Ever wondered how your favorite apps predict your preferences or how self-driving cars navigate the roads? Welcome to the world of Machine Learning, where these wonders come to life! "Introduction to Machine Learning" is your ticket to unraveling the mysteries of this groundbreaking technology without the need for a PhD!

Друзья! Мы представляем вашему вниманию не просто учебное пособие, это настоящий курс живого английского языка, основанный на реальных жизненных ситуациях! Забудьте о скучных учебниках, где вам предлагали повторять за диктором.

Are you a newbie to computer programming and you want to start but you are a little confusing? Are you searching for a book with many practical examples within? Are you curious to understand why Python is the best way to begin? If you feel related to those questions, then this audibook is for you. Here you will find tons of useful information about Python divided into sections to make the learning process easier and more interesting.

Have you ever felt overwhelmed by the complexity of implementing Artificial Intelligence (AI) into your curriculum? Worried about the ethical implications? Or maybe you feel that your lack of tech expertise leaves you lagging in the rapidly progressing digital age of education? You're not alone. The exponential growth of AI has left many educators feeling tossed in the deep end, their anxieties heightened by the rapid waves of technological change. So, where do you turn when you're navigating these uncharted waters?

This audiobook is a combo of three books that gives you all the information you need about the brain (and a woman's brain, in particular), neural networks, artificial intelligence, psychopaths, split personality, speed-reading strategies, and neuroplasticity among others.

This comprehensive guide navigates the complexities of AI in education, equipping educators with practical strategies, real-world applications, and ethical considerations. Imagine yourself as a tech-savvy, innovative educator, transforming your students' learning experience with the positive power of Artificial Intelligence.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

The aim of this book has been to provide students, educators, and administrators alike with valuable insights into the disruptive, yet beneficial, transformation which will occur in the global education system during the next three to five years and beyond. Although these trends will not happen immediately, their impact will be far-reaching and global in nature.

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Patrick S. Washburn and Chris Lamb tell the full story of the past, the present, and to a degree, the future of American sports journalism. Sports Journalism chronicles how and why technology, religion, social movements, immigration, racism, sexism, social media, athletes, and sportswriters and broadcasters changed sports as well as how sports are covered and how news about sports are presented and disseminated.

Analytics of Life provides the listener with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business to help you make the best possible decision. If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.

Are your senses screaming at you for change, but you have gone deaf to their call? Are the things you're passionate about taking a back seat in your life? In Return to Your Senses: Save Yourself before Technology Kills You, Ronald D. Eastman II gives you the wakeup call you need to reset and transform your life.

To understand machine learning, you need to understand what it means and how it affects you. Machine learning is a method the utilizes data analysis to provide an automatic system of analysis for model building that involves analytics. This is a specific branch of artificial intelligence based solely on ideas that say that through a system, you can begin to learn the data that is needed for pattern identification and decision-making that will include minimal amounts of human interaction and intervention.

Facebook, one of the world’s biggest social media platforms, has become such a force to be reckoned with in the recent past that it will be launching a cryptocurrency known as Libra that is meant to empower billions of people who do not have bank accounts and could benefit greatly from the use of this currency. This is a game changer, and you need to realign yourself if you want to tap into what Facebook seeks to achieve.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

You are about to discover how you can learn Python to ride in the next wave of big/advanced computing that is in artificial intelligence, deep learning, data science, big data, data analytics, deep learning, and more! There has been a lot of talk about artificial intelligence, data analytics, data mining, big data, data science, and many other fancy names lately. Lucky for you, this audiobook is meant to answer all these topics and many others.

This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods. Upon completion of this review, the student should acquire improved ability to discriminate, differentiate, and conceptualize appropriate implementations of application-specific ("traditional" or "rule-based") methods versus deep learning methods of statistical analyses and data modeling.