In this session you will learn how to create voice experiences and hear the latest on UI design and industry trends.

This webinar will demonstrate how to use the new Azure ML Workbench to solve complicated NLP tasks such as entity extraction from unstructured text. The tutorial aims to analyze a large corpus of unlabeled unstructured text records such as Medline PubMed abstracts and trains a word embedding model. The output embeddings are considered as automatically generated semantic features to train a neural entity extractor. We systematically show how to train a word embeddings model using word2vec neural word embedding algorithm with nearly 20 million Medline article abstracts on an HDInsight Spark cluster and then use the auto-generated features to train a LSTM deep recurrent neural network for medical entity extraction on a GPU-equipped Data Science Virtual Machine.

There are many facets of artificial intelligence (AI) that should intrigue marketers, and none of them involve a robot uprising. From deep learning in the form of neural networks and image identification to machine learning and optimization algorithms, there is a lot AI offers marketers. Join us on Thursday, Nov. 16 at 2 pm EST/11 am PST for "The Rise of the AI-Empowered Marketer: Engaging Smarter to Grow Revenue," a free live webinar, where we'll explore what you need to know about AI for marketing success. IDC analyst Gerry Murray and Ariane Lindblom, senior director of product marketing at Marketo, will share ideas for using AI to engage smarter, grow revenue and save budget. They'll explore how AI can help predict the right marketing mix to reach prospects and meet your goals, ways AI can help personalize campaigns at scale, and how AI can help drive more value for your audience.

How soon do you need to prepare for artificial intelligence? Artificial intelligence is already here – it's no longer a futuristic promise. And it's been here for years. Companies should already be thinking about how they can automate many of their ordinary marketing processes. This is the basic step that every company should take to make themselves more efficient.

There are many different types of sites that provide a wealth of free, freemium and paid data that can help audience developers and journalists with their reporting and storytelling efforts, The team at State of Digital Publishing would like to acknowledge these, as derived from manual searches and recognition from our existing audience. Kaggle's a site that allows users to discover machine learning while writing and sharing cloud-based code. Relying primarily on the enthusiasm of its sizable community, the site hosts dataset competitions for cash prizes and as a result it has massive amounts of data compiled into it. Whether you're looking for historical data from the New York Stock Exchange, an overview of candy production trends in the US, or cutting edge code, this site is chockful of information. It's impossible to be on the Internet for long without running into a Wikipedia article.

A generation that grew up with games that read behavioral cues and provide haptic feedback is ready for more advanced interfaces – can you deliver what they want? We are a long way from systems that "understand" people, but technologies to "recognize" emotions from word usage, voice characteristics, facial expressions, and gestures are here today and improving rapidly. Not far behind are technologies that allow systems to respond expressively with more appropriate tone and content – written and vocal – and relevant facial expressions on avatars and robots driven by brain-inspired models (not to be confused with neural networks). This webinar will present an overview of emerging technologies and applications for the next generation of Perceptive Input and Expressive Output interfaces. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for enhanced interfaces.

In comparison, people who watched the same shows were able to identify who was responsible 85 per cent of the time. Dr Lea Frermann, lead author of the study, said: 'Pinpointing the perpetrator in a TV show is a very difficult task for computers, but our model performed encouragingly well. 'We hope our findings will aid the development of machines that can take on board – and make sense of – large streams of information in real time.'

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Here is a short and useful Review of Machine Learning Course A-Z: Hands-On Python & R in Data Science. One of the Best Seller courses on Udemy where students enrolled over 137,299 and have a 4.5-star ratings. With this top-selling Machine Learning tutorial you will learn to create Machine Learning Algorithms in both Python and R from Data Science experts. Kirill Eremenko is a Data Scientist & Forex Systems Expert with 4.5 average ratings and 67670 reviews. He has 273624 Students and 32 Courses.

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature.