Frank Millstein has 4 audiobooks on Listento.it, narrated by 6 narrators, with an average listener rating of 2.8★ across 4 ratings. The most-rated is Natural Language Processing with Python.
Natural Language Processing with Python
Summary
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 introducing you to this challenging yet extremely engaging world of automatic manipulation of our human language. It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python. Here is a preview of what you'll learn here.... The main challenges of natural language processing The history of natural language processing How natural langauge processing actually works The main natural language processing applications Text preprocessing and noise removal Feature engineering and syntactic parsing Part of speech tagging and named entity extraction Topic modeling and word embedding Text classification problems Working with text data using NLTK Text summarization and sentiment analysis And much, much more.... PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2018 Frank Millstein (P)2018 Frank Millstein
DevOps: 2-Book Bundle
Summary
DevOps - two-audiobook bundle! DevOps Handbook Here is a preview of what you’ll learn here: Major software-development mistakes to avoid and challenges What is software-development life cycle and how it works What is DevOps: DevOps definitions and history of DevOps Agile software development, Agile practices and benefits DevOps practices, methodologies, tools, and values How DevOps works and how it is implemented within companies and organizations The importance of automation, continuous integration, continuous delivery, and continuous testing And much, much more DevOps Adoption Here is a preview of what you’ll learn here: What is DevOps? DevOps principles compared to traditional IT concepts How DevOps is overcoming traditional development and operations Why DevOps is important and its key benefits Main DevOps goals, DevOps culture, and security integration How to properly build a DevOps culture Why you should invest in automation What different DevOps success factors are Advantages of speed and scale within DevOps environments What are common DevOps practices How to implement DevOps models And much, much more Get this audiobook bundle now and save money! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2018 Frank Millstein (P)2018 Frank Millstein
Machine Learning with Tensorflow: A Deeper Look at Machine Learning with Tensorflow
Summary
Machine Learning with TensorFlow 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. With this book as your guide, you will get your hands on TensorFlow machine learning techniques, learn how to perform different neural network operations, learn how to deal with massive data sets, and learn how to build your first machine learning model for data classification. Here's a preview of what you'll learn: What is machine learning Main uses and benefits of machine learning How to get started with TensorFlow, installing and loading data Data flow graphs and basic TensorFlow expressions How to define your data flow graphs and how to use TensorBoard for data visualization Main TensorFlow operations and building tensors How to perform data transformation using different techniques How to build high performance data pipelines using TensorFlow Dataset framework How to create TensorFlow iterators Creating MNIST classifiers with one-hot transformation Get this audiobook now and learn how to do various machine learning tasks using TensorFlow! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2018 Frank Millstein (P)2018 Frank Millstein
DevOps Adoption
Summary
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. As soon as you embrace DevOps principles, you get to create shorter development cycles with faster innovation; you can reduce software deployments rates, time to recover, and rollbacks; you have better communication and collaboration, as well as, significantly increased efficiency of your teams; and lastly, you get to enjoy substantially reduced IT headcount and costs. The industry is implementing DevOps practices as everyone is eager to take advantage of these benefits. You also can fully transform your digital business with DevOps principles and bring more value to everything you and your team do. What's inside? What DevOps is DevOps principles compared to traditional IT concepts How DevOps is overcoming traditional Dev and Ops Why DevOps is important and its key benefits Main DevOps goals, DevOps culture, and security integration How to properly build a DevOps culture Why you should invest in automation What are different DevOps success factors Advantages of speed and scale within DevOps environments What are common DevOps practices How to implement DevOps models And much, much more PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2018 Frank Millstein (P)2018 Frank Millstein