1. 1-13 of 13
    1. Natural Language Processing with PyTorch

      Natural Language Processing with PyTorch

      1-4919-7816-3 Delip Rao Delip Rao is a machine learning and natural language processing researcher focused on building AI solutions for consumers and businesses. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more, and has published several highly cited papers in these areas.Delip worked as a Research Scientist at Amazon focusing on machine learning and natural language understanding for Amazon Echo, and at Twitter, where he worked on a variety of problems including anomaly detection, spam, content discovery, user modeling, and engagement prediction. He is currently building Joostware ...

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    2. Introduction to Cognitive Computing with IBM Watson Services

      Introduction to Cognitive Computing with IBM Watson Services

      Introduction to Cognitive Computing with IBM Watson Services Break Free From the Myths Surrounding IBM Watson to Learn What it Really Can and Can't Do By Matt Coatney Final Release Date: June 2017 Run time: 1 hour 14 minutes Data scientist and entrepreneur, Matt Coatney, provides a hype free overview of IBM Watson in this course covering Watson's technology and key machine learning capabilities.

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    3. Machine Learning for Designers

      Machine Learning for Designers

      An Introduction to the Core Technologies of Machine Learning and the Emerging Opportunities for ML-enhanced Design By Patrick Hebron Final Release Date: April 2017 Run time: 2 hours 17 minutes Recent advances in machine learning (ML), natural language processing, image recognition, content personalization, and behavior prediction are radically changing the capabilities of software and the interfaces people use to interact with that software.This course provides an insider's look at contemporary ML technologies and how these technologies are transforming the next generation of computing interfaces for search engines, intelligent assistants, connected homes, and open-world video games. Created for designers ...

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      Mentions: NYU
    4. #Ebook Deal/Day: Deep Learning with Hadoop - $15.99 (Save 50%) Use code DEAL

      #Ebook Deal/Day: Deep Learning with Hadoop - $15.99 (Save 50%) Use code DEAL

      Final Release Date: February 2017 Pages: 206 Build, implement and scale distributed deep learning models for large-scale datasets About This Book Get to grips with the deep learning concepts and set up Hadoop to put them to use Implement and parallelize deep learning models on Hadoop's YARN framework A comprehensive tutorial to distributed deep learning with Hadoop Who This Book Is For If you are a data scientist who wants to learn how to perform deep learning on Hadoop, this is the book for you. Knowledge of the basic machine learning concepts and some understanding of Hadoop is required ...

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      Mentions: Hadoop
    5. Text Mining with R

      Text Mining with R

      Final Release Date: February 2017 Pages: 150 With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You’ll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.

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      Mentions: Nasa
    6. #Ebook Deal/Day: Applied Text Analysis with Python - $16.99 (Save 50%) Use code DEAL

      #Ebook Deal/Day: Applied Text Analysis with Python - $16.99 (Save 50%) Use code DEAL

      Final Release Date: December 2016 Pages: 250 With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You’ll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.

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    7. Mastering Text Mining with R

      Mastering Text Mining with R

      Mastering Text Mining with R By Ashish Kumar, Avinash Paul Publisher: Packt Publishing Final Release Date: December 2016 Pages: 258 Master text-taming techniques and build effective text-processing applications with R About This Book Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide Gain in-depth understanding of the text mining process with lucid implementation in the R language Example-rich guide that lets you gain high-quality information from text data Who This Book Is For If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and ...

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    8. #Ebook Deal/Day: Sentiment Analysis in Social Networks - $29.98 (Save 50%) Use code DEAL

      #Ebook Deal/Day: Sentiment Analysis in Social Networks - $29.98 (Save 50%) Use code DEAL

      Sentiment Analysis in Social Networks By Federico Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu Publisher: Elsevier / Morgan Kaufmann Final Release Date: October 2016 Pages: 284 The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker.

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    9. Data Science Essentials in Python

      Data Science Essentials in Python

      Final Release Date: November 2016 (est.) Pages: 200 Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work.

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    10. Slack Hacks

      Slack Hacks

      Final Release Date: October 2016 (est.) Pages: 200 We're surrounded with a myriad of communication tools: email, Skype, Twitter, Facebook, and Snapchat, to name a few. Slack is a newer communication tool, borrowing IRC concepts and transcending them with an intuitive interface that allows countless customizations and integrations—from other communication tools to bots, Kayak, Google, Hacker News, and more.

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      Mentions: Google IRC
    11. #Ebook Deal/Day: Machine Learning in Java - $19.99 (Save 50%) Use code DEAL50

      #Ebook Deal/Day: Machine Learning in Java - $19.99 (Save 50%) Use code DEAL50

      Final Release Date: April 2016 Pages: 258 Design, build, and deploy your own machine learning applications by leveraging key Java machine learning libraries About This Book Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications Packed with practical advice and tips to help you get to grips with applied machine learning Who This Book Is For If you want to learn how to use Java's machine learning libraries to gain insight ...

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    1-13 of 13
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD