1. Articles from dzone.com

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    1. AI-Powered NLP: The Evolution of Machine Intelligence From Machine Learning - DZone AI

      AI-Powered NLP: The Evolution of Machine Intelligence From Machine Learning - DZone AI

      This article is featured in the new DZone Guide to Artificial Intelligence. Get your free copy for more insightful articles, industry statistics, and more! This article will illustrate the transition of the NLP landscape from a machine learning paradigm to the realm of machine intelligence and walk the readers through a few critical applications along with their underlying algorithms. Nav Gill’s blog on the stages of AI and their role in NLP presents a good overview of the subject.

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    2. Deep Learning With TensorFlow, GPUs, and Docker Containers AI

      Deep Learning With TensorFlow, GPUs, and Docker Containers AI

      I work with a lot of data science teams at our enterprise customers, and in the past several months, I've seen an increased adoption of machine learning and deep learning frameworks for a wide range of applications. As with other use cases in big data analytics and data science, these data science teams want to run their preferred deep learning frameworks and tools in Docker containers on the BlueData EPIC software platform.

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      Mentions: Intel Intel Xeon GPU
    3. Machine Learning in iOS: Using the Core ML for Image Recognition AI

      Machine Learning in iOS: Using the Core ML for Image Recognition AI

      Artificial intelligence is a big trend right now — especially in regards to machine learning. The amount of available data on the internet is growing every day, so it makes sense that we would want to analyze it and turn it into useful information. Any insight that we can get from it will be helpful to discover new ways to enrich user experience in our apps. What Is Machine Learning? Machine learning is a science that allows computers to learn without being explicitly programmed.

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      Mentions: Apple
    4. Conversational UI: Why Does It Matter? AI

      Conversational UI: Why Does It Matter? AI

      Many researchers believe conversational AI will soon be developers’ first priority, surpassing cloud-native and mobile-first projects in importance. Chatbots , built on a foundation of containerized microservices and connecting to back-end systems, are not only an easy way to break into conversational UIs but are also an onramp to building and training artificial intelligence. But wait — what is a conversational UI?

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    5. Using the Actions SDK for Google Assistant Development IoT

      Using the Actions SDK for Google Assistant Development IoT

      In today's post, I'm going to show how to develop a simple app for the Google Assistant. For developing this app, I will be using the Actions SDK. My next post will use Dialogflow (formerly api.ai) instead. After reading both posts you hopefully will know enough to decide which approach is better suited for you. About the App In my hometown, I usually take the bus when taking our youngest to kindergarten before heading off to work.

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      Mentions: Google URL SDK
    6. TensorFlow for Real-World Applications AI

      TensorFlow for Real-World Applications AI

      This article is featured in the new DZone Guide to Artificial Intelligence. Get your free copy for more insightful articles, industry statistics, and more! I have spoken to thought leaders at a number of large corporations that span across multiple industries such as medical, utilities, communications, transportation, retail, and entertainment. They were all thinking about what they can and should do with deep learning and artificial intelligence.

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    7. Using Machine Learning to Retrieve Relevant CVs Based on Job Description AI

      Using Machine Learning to Retrieve Relevant CVs Based on Job Description AI

      We use the average word embeddings (AWE) model for retrieving relevant CVs based on a job description. We present a step-by-step guide in order to combine domain-trained word embeddings with pre-trained embeddings for Spanish documents (CVs). We also use Principal Component Analysis (PCA) as a reduction technique used to put similar dimensions to word embeddings results.

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    8. The New Era of Data Apps Big Data

      The New Era of Data Apps Big Data

      It is no secret that data has been exploding in virtually every facet of every industry, from financial services, manufacturing, retail, and biotechnology to telecom, healthcare, transportation, and energy. In fact, data created in the previous two years was greater than the previous 5,000 years of humanity and 2017 will create even more data in one year alone. There are lots of technologies being used to process this data.

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    9. Don’t Fear New Technology: The Future Moves Fast Big Data

      Don’t Fear New Technology: The Future Moves Fast Big Data

      At Return Path, I work on a data science team that uses machine learning and natural language processing to produce features that augment data feeds that we sell directly to clients. Return Path’s core business is in email marketing optimization. In a nutshell, we use data and analytics to help marketers optimize how and when they’re sending emails to their customers. While this is Return Path’s core business, I work in a division of the company that focuses on consumer insight data.

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    10. An Introduction to Implementing Neural Networks Using TensorFlow AI

      If you have been following the world of data science/machine learning, you just can’t miss the buzz around deep learning and neural networks. Organizations are looking for people with deep learning skills wherever they can use them. From running competitions to open-sourcing projects and paying big bonuses, people are trying every possible thing to tap into this limited pool of talent.

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      Mentions: CSV Matlab
    11. Big Dataset: Analyzing All Reddit Comments With ClickHouse Big Data

      Big Dataset: Analyzing All Reddit Comments With ClickHouse Big Data

      In this blog, I'll use ClickHouse and Tabix to look at a new very large dataset for research. It is hard to come across interesting datasets, especially a big one (and by big, I mean one billion rows or more). Before, I've used on-time airline performance available from Bureau of Transporation Statistics . Another recent example is NYC taxi and Uber trips data , with over one billion records.

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      Mentions: Amazon MySQL
    12. Providing Decision Support to Hospitals Across Multiple EHR Systems AI

      Providing Decision Support to Hospitals Across Multiple EHR Systems AI

      It's beyond doubt that data is increasingly important in healthcare, but there is also a strong sense that doctors themselves are not very keen on it. I wrote last year , for instance, about a study exploring how doctors felt when patients brought their own data into consultations. "We've heard doctors say more and more that people bring this data into the clinic and they're just overwhelmed by it.

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      Mentions: MIT CSAIL EHR
    13. Machine Learning and Analytics in IT Ops AI

      Machine Learning and Analytics in IT Ops AI

      Though current ticket data investigation and reporting practices employed by enterprises can usually obtain statistics and information on ticket count, ownership, categories, severities, etc., they fall behind when it comes to abstracting and comprehending the treasure of information concealed in the text comments of ticket data. This is precisely where IT ops analytics (ITOA) — using big data, machine learning, and natural language processing (NLP) techniques — is gaining momentum.

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      Mentions: Oracle NLP SME
    14. Serverless and Chatbots: Made for Each Other AI

      Serverless and Chatbots: Made for Each Other AI

      According to Forrester Research, “globally, 57% of companies either use chatbots already, or plan to do so in the coming year.” That’s incredible! Experts think that the use of chatbots is only going to explode in near future. Think about it. Chatbots have been around for quite a long time. But why this sudden surge and interest in chatbots now ? Well, there are various reasons. Unlike the earlier days, many AI and NLP capabilities are now available as consumable services.

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    15. Introduction to Deepnets AI

      Introduction to Deepnets AI

      Deepnets are a new resource brought to the BigML platform. On October 5, 2017, Deepnets will be available via the BigML Dashboard, API, and WhizzML . Deepnets (an optimized version of deep neural networks) are part of a broader family of classification and regression methods based on learning data representations from a wide variety of data types (i.e. numeric, categorical, text, image).

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    16. NLP Tutorial Using Python NLTK (Simple Examples) AI

      NLP Tutorial Using Python NLTK (Simple Examples) AI

      Find out how AI-Fueled APIs from Neura can make interesting products more exciting and engaging. In this post, we will talk about natural language processing (NLP) using Python. This NLP tutorial will use the Python NLTK library. NLTK is a popular Python library which is used for NLP. So what is NLP? And what are the benefits of learning NLP? Put simply, natural language processing (NLP) is about developing applications and services that are able to understand human languages.

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      Mentions: Brazil Lancaster NLP
    17. Chatbots Aren't Really That Great AI

      Chatbots Aren't Really That Great AI

      Chatbots are the new "it" things in technology today. They're computer programs that are designed to carry out conversations with users via text or speech. Famous bots like Alexa, Siri, Google Assistant, and Facebook Messenger are beginning to represent the next big computational platform. Bots are user-friendly, they afford tremendous opportunities for actionable insights, and they are ever-evolving, ever-learning, ever in beta. So why aren’t they able to deliver on their promises?

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    18. Artificial Intelligence, Communication, and the Evolution of Software Testing AI

      Artificial Intelligence, Communication, and the Evolution of Software Testing AI

      Artificial Intelligence, Communication, and the Evolution of Software Testing DZone's Guide to Artificial Intelligence, Communication, and the Evolution of Software Testing Learn about the intersection of artificial intelligence, Agile, and DevOps from software testing and QA luminary Isabel Evans. by Sep. 16, 17 · AI Zone Free Resource Find out how AI-Fueled APIs from Neura can make interesting products more exciting and engaging.

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    19. How Do I Get More Insights From Metadata? AI

      How Do I Get More Insights From Metadata? AI

      It was great talking to Aaron Kalb, Co-Founder and Head of Product at Alation — an enterprise collaborative data platform that’s using artificial intelligence (AI) and machine learning (ML) to find information of value and insights in metadata. Q: What are the keys to getting information of value from metadata? A: Start by getting a handle on all of your data assets. A lot of companies don’t realize where all of their data resides.

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      Mentions: PII
    20. Chatbots With Machine Learning: Building Neural Conversational Agents AI

      Chatbots With Machine Learning: Building Neural Conversational Agents AI

      Twenty-two. And you? Me too! Wow! Note the (end-of-sequence)token at the end of each sentence in the batch. This special token helps neural networks understand sentence bounds and update their internal state wisely. Some models may use additional meta information from data such as speaker ID, gender, emotion, etc. Now, we are ready to move on to discussing generative models.

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    21. Apple's HomePod: What's in It for Developers? IoT

      Apple's HomePod: What's in It for Developers? IoT

      Join For Free Discover why Bluetooth mesh is the next evolution of IoT solutions. Download the mesh overview . With only a few days to go for the iPhone event, the buzz around it this year is greater than what it was a few years ago. With the WWDC event done, we can expect something radical from the technology giant. While we were privy to most of the iOS features that would be incorporated into the iPhone 8, geeks and developers are eagerly waiting for the phone's release.

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