All Videos Tagged Machine Learning (Data Science Central) - Data Science Central 2021-09-21T21:17:02Z https://www.datasciencecentral.com/video/video/listTagged?tag=Machine+Learning&rss=yes&xn_auth=no DSC Webinar Series: rEvolutionize Your Analytics: Break Barriers to Insight tag:www.datasciencecentral.com,2018-03-27:6448529:Video:707588 2018-03-27T22:17:42.134Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-analytics-break-barriers-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532393?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together like a well-orchestrated ensemble. However, ensuring this is not the easiest of feats.<br></br> <br></br> We know it can be the wild, wild west of data out there. Organizations’… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-analytics-break-barriers-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532393?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together like a well-orchestrated ensemble. However, ensuring this is not the easiest of feats.<br /> <br /> We know it can be the wild, wild west of data out there. Organizations’ objectives vary, and the pressure to architect the right ecosystem is further exacerbated given the significant investment that goes into analytic infrastructures – time, people, money.<br /> <br /> Join us for our next Data Science Central webinar as we feature Radiant Advisors, experts in the selection, deployment and optimization of data analytics technology, and their recommended best practices for choosing and deploying a modern analytics ecosystem, such as Alteryx with Amazon Web Services. Learn how you can rEvolutionize your analytics and deliver the capabilities, efficiencies, and stability needed to tear down yesterday’s barriers to insight.<br /> <br /> Speakers:<br /> Raman Kaler, Sr. Manager, Alliance Marketing -- Alteryx<br /> Hasan Hboubati, Solutions Engineer -- Alteryx<br /> John O’Brien, Principal Advisor and CEO -- Radiant Advisors<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: The Analytics Lifecycle Revolution: Evolution or Extinction tag:www.datasciencecentral.com,2018-03-20:6448529:Video:705832 2018-03-20T22:38:34.162Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-analytics-lifecycle-revolution-evolution"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532273?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>With so many digital initiatives competing for resources, breaking through legacy analytic slowness and modernizing the analytics lifecycle is vital. The key is turning data assets into insight driven actions as quickly and collaboratively as possible― and without reinventing the wheel.<br></br> <br></br> Learn all about compressing the analytics… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-analytics-lifecycle-revolution-evolution"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532273?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />With so many digital initiatives competing for resources, breaking through legacy analytic slowness and modernizing the analytics lifecycle is vital. The key is turning data assets into insight driven actions as quickly and collaboratively as possible― and without reinventing the wheel.<br /> <br /> Learn all about compressing the analytics process, aligning data discovery with visualization, cataloging, preparation, blending, profiling, enrichment, and modeling into a seamless experience with industry expert Dave Wells of Eckerson Group. Levon Johnson, Manager of Employee Data and Analytics at Alaska Airlines, will further illustrate how he single-handedly elevated employee analytics from next-to-nothing (gut-driven decisions) to company-standard (data-driven/intensive).<br /> <br /> Join us for this latest DSC Webinar and find:<br /> <br /> Resolution to the analytic barriers of time, effort, and pain<br /> Deeper accuracy and efficiency through reuse and collaboration<br /> Real examples of quick-win projects and meaningful reports<br /> Break down data barriers keeping analytic teams from getting the insights that matter. It’s a new age for how companies innovate with analytics, and it’s time the analytics process caught up.<br /> <br /> Speakers:<br /> Dave Wells, Practice Lead, Data Management -- Eckerson Group<br /> Levon Johnson, Manager, Employee Data &amp; Analytics -- Alaska Air Group, Inc.<br /> Lisa Aguilar, Sr. Product Marketing Manager -- Alteryx<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 Embedded AI, Machine Learning, and Analytics tag:www.datasciencecentral.com,2017-10-11:6448529:Video:634464 2017-10-11T02:37:42.828Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/embedded-ai-machine-learning-and-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781539044?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>New forms of systems of intelligence are emerging through embedded artificial intelligence, machine learning, and analytics. These data-driven systems of intelligence are enabling digital disruption and new business models.<br></br> <br></br> Many companies don’t know what steps to take to become digital, where to begin their journey to digital, or how to be sure… <a href="https://www.datasciencecentral.com/video/embedded-ai-machine-learning-and-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781539044?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />New forms of systems of intelligence are emerging through embedded artificial intelligence, machine learning, and analytics. These data-driven systems of intelligence are enabling digital disruption and new business models.<br /> <br /> Many companies don’t know what steps to take to become digital, where to begin their journey to digital, or how to be sure they won’t waste money on innovation they can’t implement throughout their company to drive better business results. There is a massive opportunity to help companies take and complete this digital journey, not just to innovate, but to become scaled digital businesses.<br /> <br /> In this Data Science Central webinar join David Judge, Vice President, Chief Evangelist Leonardo at SAP, Bill Vorhies, Data Scientist, Editorial Director of Data Science Central, and Guilherme Rabello, Commercial and Market Intelligence Manager of InovaInCor, the Innovation department of the Heart Institute (InCor) in São Paulo as they discuss how new technologies are driving digital disruption and the need for innovation.<br /> <br /> Speakers:<br /> <br /> David Judge, Vice President, Chief Evangelist Leonardo -- SAP<br /> Guilherme Rabello, Commercial and Market Intelligence Manager of InovaInCor -- Innovation department of the Heart Institute (InCor) in São Paulo<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central