All Videos Tagged Artificial Intelligence (Data Science Central) - Data Science Central 2021-03-01T04:57:40Z https://www.datasciencecentral.com/video/video/listTagged?tag=Artificial+Intelligence&rss=yes&xn_auth=no DSC Webinar Series: Data Contributions to a Conversational AI Platform tag:www.datasciencecentral.com,2018-03-28:6448529:Video:707963 2018-03-28T21:55:25.109Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-contributions-to-a-conversational-ai"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532302?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Voice technology and natural language recognition is at the forefront of AI development that is transforming our everyday life, and will undoubtedly be part of our future. Deep learning is at the core of identifying and processing voice for automation and new innovations.<br></br> <br></br> Join this Data Science Central webinar as conversational AI… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-contributions-to-a-conversational-ai"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532302?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Voice technology and natural language recognition is at the forefront of AI development that is transforming our everyday life, and will undoubtedly be part of our future. Deep learning is at the core of identifying and processing voice for automation and new innovations.<br /> <br /> Join this Data Science Central webinar as conversational AI pioneer, Voicebox, shares their journey from an on-premise system that was manually intensive and costly to maintain, to an agile cloud platform that has allowed them to build, schedule, and run multiple production data pipelines that feed into their deep learning models with ease.<br /> <br /> In this webinar we will cover:<br /> <br /> The challenges they faced with a highly complex legacy system<br /> How they chose their final technology configuration<br /> How they configured their system to allow them to process data much faster and more reliably<br /> How they worked with their existing technology stack, including ElasticSearch, Redshift, and S3<br /> Lessons learned from their data analytics journey<br /> Speakers:<br /> Peyvand Khademi, Director, Data Platform and Services -- Voicebox<br /> Lynn Armstrong, Data Architect -- Voicebox<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Practical Human-in-the-Loop Machine Learning tag:www.datasciencecentral.com,2018-03-15:6448529:Video:704313 2018-03-15T20:50:52.897Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-practical-human-in-the-loop-machine-learning"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532174?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Curious about what human-in-the-loop machine learning actually looks like? Join CrowdFlower and learn how to effectively incorporate Active Learning, Transfer Learning, and Annotation Quality in your ML projects to achieve better results.<br></br> <br></br> Join us in this latest Data Science Central webinar, where we will cover the following… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-practical-human-in-the-loop-machine-learning"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532174?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Curious about what human-in-the-loop machine learning actually looks like? Join CrowdFlower and learn how to effectively incorporate Active Learning, Transfer Learning, and Annotation Quality in your ML projects to achieve better results.<br /> <br /> Join us in this latest Data Science Central webinar, where we will cover the following topics:<br /> <br /> When to use the human-in-the-loop as an effective strategy for machine learning projects<br /> How to set up an effective interface to get the most out of human intelligence<br /> How to ensure high-quality, accurate training data sets<br /> How to use ML models from different domains to improve your own labeling<br /> ​This webinar will include an end-to-end look at setting up and running a job that generates high-quality training data, and shows how to incorporate that training data into human-in-the-loop machine learning systems that you can run in your own environment.<br /> <br /> Speaker: Robert Munro, Chief Technology Officer -- CrowdFlower<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: The Promise of Natural Language Processing (NLP) tag:www.datasciencecentral.com,2018-03-13:6448529:Video:703733 2018-03-13T20:56:18.205Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-promise-of-natural-language-processing-nlp"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781533858?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The rising popularity of Amazon Alexa and Google Home has lead people to expect when they speak to software it will understand what to do. This concept is also ascendant in the world of data, making it easier for everyone to ask questions and conduct rapid analysis. In this webinar, we'll investigate the potential of BI software to… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-promise-of-natural-language-processing-nlp"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781533858?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The rising popularity of Amazon Alexa and Google Home has lead people to expect when they speak to software it will understand what to do. This concept is also ascendant in the world of data, making it easier for everyone to ask questions and conduct rapid analysis. In this webinar, we'll investigate the potential of BI software to intuitively understand human language as it is written and spoken.<br /> <br /> In this latest Data Science Central Webinar we will provide:<br /> <br /> • An introduction to natural language processing (NLP)<br /> • Examples of how NLP is already used in Tableau's geocoding and map search<br /> • A demonstration of some research prototypes that you might see in the not too distant future<br /> <br /> Speaker: Vidya Setlur, Senior Research Scientist -- Tableau<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central An Old Problem - Ep. 5 (Deep Learning SIMPLIFIED) tag:www.datasciencecentral.com,2015-12-22:6448529:Video:365168 2015-12-22T19:51:35.746Z Jagannath Rajagopal https://www.datasciencecentral.com/profile/JagannathRajagopal <a href="https://www.datasciencecentral.com/video/an-old-problem-ep-5-deep-learning-simplified"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531444?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />If deep neural networks are so powerful, why aren’t they used more often? The reason is that they are very difficult to train due to an issue known as the va... <a href="https://www.datasciencecentral.com/video/an-old-problem-ep-5-deep-learning-simplified"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531444?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />If deep neural networks are so powerful, why aren’t they used more often? The reason is that they are very difficult to train due to an issue known as the va... Your choice of Deep Net - Ep. 4 (Deep Learning SIMPLIFIED) tag:www.datasciencecentral.com,2015-12-21:6448529:Video:365004 2015-12-21T19:15:09.339Z Jagannath Rajagopal https://www.datasciencecentral.com/profile/JagannathRajagopal <a href="https://www.datasciencecentral.com/video/your-choice-of-deep-net-ep-4-deep-learning-simplified"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781549671?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Deep Nets come in a large variety of structures and sizes, so how do you decide which kind to use? The answer depends on whether you are classifying objects ... <a href="https://www.datasciencecentral.com/video/your-choice-of-deep-net-ep-4-deep-learning-simplified"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781549671?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Deep Nets come in a large variety of structures and sizes, so how do you decide which kind to use? The answer depends on whether you are classifying objects ...