Machine Learning Engineering

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

In your everyday life artificial intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how machine learning is having an impact on our lives. Everyone knows how important machine learning is for the growth and success of the biggest tech companies, and many people know about the machine learning impact in science, medicine and statistics.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

If you want to unleash the power of data science research, machine learning tools, and learn how to optimize business processes with neural networks, then this is the audiobook for you...In this guide, you will learn the processes used by successful companies to turn raw data into powerful insights using open source tools and libraries such as Python, SciKit, and others. You'll also learn how to apply these methods to your own business data to help you make robust decisions.

Technology has grown greatly in the recent past from self-driving cars to automated warehouses to websites being able to suggest what videos we should watch next based on our preferences to showing us ads that relate to things we are interested in and the world we are living in these days. It is, perhaps, like a sci-fi scene from movies of some decades ago.

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.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

The goal of this book is simple: provide a perfect insight into data science from scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this audiobook. The book is also an ultimate guide to master data mining and data-analytic.

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications and also a few examples of the different types of machine learning.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

From a leading futurist and OneShared.World founder, a "brilliant" book that explores how artificial intelligence and other revolutionary technologies are transforming our lives–and our future (Sanjay Gupta). New technologies have the potential to improve our health, feed billions of people...

In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

This bundle includes two audiobooks: Neural Networks and Deep Learning! You will understand the basics of what neural networks are, how they work, and the many tasks you can apply them to. This audiobook will also explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works.

This audiobook includes two manuscripts, Machine Learning: Master the Three Types of Machine Learning and Hacking: Computer Hacking Mastery. Machine learning is vital to the world of information technology, and the world of hacking has changed so much in recent years. This guidebook has all the information that you need about machine learning and the most common hacks that are going on today.

This audiobook includes two manuscripts, Machine Learning and Agile Project Management. Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they probably use it in their daily lives. Agile project management has grown in popularity over the past several years. Those that have implemented the agile strategies you will learn in this audiobook are the ones that will be around for years to come.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

This audiobook will not aim to be a manual in Python or programming in general but an incursion into the realm of these subjects - a short trip to make you curious about what Python and data analysis are all about, why they are used in association, and even how they are used, at times. If you are ready to embrace Python, even as a complete beginner, you are a daring soul who deserves to be part of the amazing future we’re building in this industry.

Multi-time best-selling information technology and mathematics author Edward Mize presents the perfect introduction to machine learning for any beginner. With books and a blog that receives tens of thousands of fans monthly, Edward has compiled the most practical and high-level introduction to the components and statistical concepts found in machine learning. Well-known and incredibly popular for his ability to teach complex topics in an easy-to-understand way, Edward uses plain-English explanations, so you can learn and implement machine learning.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations.