Showing results by author "Frank Millstein"

This audiobook covers the basics behind convolutional neural networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy-to-understand way. It is perfect for any beginner out there looking forward to learning more about this machine learning field. This audiobook is all about how to use convolutional neural networks for various image, object, and other common classification problems in Python. Here, we also take a deeper look into various Keras layer used for building CNNs.

This audiobook is a perfect beginner's guide to natural language processing. It is offering an easy-to-understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than 50 years, but just recently, with greater amounts of data present and better computational powers, it has gained a greater popularity. Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this audiobook will serve as your best companion on this journey.

Machine learning - two-audiobook bundle! 

Increase your business profitability and exceed your business goals and objectives with DevOps practices! 

Data is the foundation of this digital age that we live in. With this audiobook, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This audiobook covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics, and many other that will help you kick-start your data analytics journey from the very beginning.

In this two-audiobook bundle, you will learn the difference between deep learning and solving multi-class classification problems and much more in deep learning with Keras. You will also learn about convolutional neural networks applications and how to build a convolutional neural network and much more in Python.

Machine learning is the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, a greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today. In this audiobook, you will learn more about interpreting machine learning techniques using Python.

TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts, offering plenty of workspace where you can improve your machine learning techniques and build your own machine learning algorithms. Thanks to its capability, in recent times TensorFlow definitely has made its way into the software mainstream, so everyone who is interested in machine learning definitely should consider getting their hands on TensorFlow practices. 

DevOps describes a set of processes, principles, as well as, a culture which brings software development and operations teams together. Moreover, adopting DevOps principles and strategies allows companies and organizations of any size and maturity levels to create and improve their products at a rapid pace which usually takes more time when using the traditional software development approaches. Learn how you can fully transform your digital business with DevOps principles and bring more value to everything you and your team do.  

This audiobook will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression, and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition, and much more. Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio.