Steven Cooper has 4 audiobooks on Listento.it, narrated by 1 narrator, with an average listener rating of 4.2★ across 3 ratings. The most-rated is Deep Learning for Beginners.
Deep Learning for Beginners
Summary
If you are looking for a complete beginners guide to learn deep learning with examples in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like Terminator, or benevolent systems that watch over the population, like Person of Interest, this should be right up your alley. This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. Discover: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks, CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch. If you want to get started on deep learning and the concepts that run artificial technologies, don’t wait any longer. Download to get started today!
©2018 Steven Cooper (P)2018 Steven Cooper
Data Science from Scratch
Summary
If you are looking to start a new career that is in high demand, then you need to continue reading. Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their business? You could be that person! It has become a universal truth that businesses are full of data. With the use of big data, the US healthcare could reduce their healthcare spending by $300 billion to $450 billion. It can easily be seen that the value of big data lies in the analysis and processing of that data, and that’s where data science comes in. Grab your copy today and learn: In-depth information about what data science is and why it is important The prerequisites you will need to get started in data science What it means to be a data scientist The roles that hacking and coding play in data science The different coding languages that can be used in data science Why python is so important How to use linear algebra and statistics The different applications for data science How to work with the data through munging, cleaning, and more And much more The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow. As businesses and the Internet change, so will data science. This means it’s important to be flexible. When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in? If you want to get started in a new, ever-growing career, don’t wait any longer. Download your copy now!
©2018 Steven Cooper (P)2018 Steven Cooper
Neural Networks
Summary
If you are looking for a complete beginners guide to learn neural networks with examples in just a few hours, then you need to continue reading. Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future. If you are interested in learning more about the computer programs of tomorrow then Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for. Learn: The history of neural networks and the way modern neural networks work How deep-learning works The different types of neural networks The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being completely lost How to build your own neural network An effective technique for hacking into a neural network Some introductory advice for modifying parameters in the code-based environment And much more! You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do! Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Download to get started today, and learn everything you need to know in no time!
©2018 Steven Cooper (P)2018 Steven Cooper
Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work
Summary
If you are looking for a complete beginner's guide to help you learn about machine learning in just a few hours using examples, then you need to check out this audiobook. Machine learning is an incredibly dense topic. It’s hard to imagine condensing it into an easily understood and digestible format. However, this audiobook aims to do exactly that. Grab your copy today and learn: The different types of learning algorithms you can expect to encounter The numerous applications of machine learning The future of machine learning The best practices for picking up machine learning What languages and libraries to work with The different types of machine learning and how they differ The various problems you can solve with machine learning algorithms And much more Starting from nothing, we slowly work our way through all the concepts that are central to machine learning. By the end of this audiobook, you’re going to feel as though you have an extremely firm understanding of what machine learning is, how it can be used, and most importantly, how it can change the world. You’re also going to have an understanding of the logic behind the algorithms and what they aim to accomplish. Don’t waste your time working with a guide that’s only going to make an already complicated topic even more complicated. Scroll up and click the "Buy Now" button to learn everything you need to know in no time!
©2018 Steven Cooper (P)2018 Steven Cooper