Latest Videos - Data Science Central 2018-05-26T17:45:43Z https://www.datasciencecentral.com/video/video/rss?xn_auth=no DSC Webinar Series: Modern Data Science Workflows tag:www.datasciencecentral.com,2018-05-25:6448529:Video:724230 2018-05-25T02:02:46.877Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/yTG5xVJxRrafMYx9WpRv2d3*wsHNr-mYFLz6IqIig*34gFkJirzoaXb18H5S79nRX0PQK1cp0C3x5T5A50HAi27VSz8pksTk/1916836315.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br></br> <br></br> Join us for this latest Data Science Central webinar and learn how data scientists across different… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img src="https://api.ning.com/files/yTG5xVJxRrafMYx9WpRv2d3*wsHNr-mYFLz6IqIig*34gFkJirzoaXb18H5S79nRX0PQK1cp0C3x5T5A50HAi27VSz8pksTk/1916836315.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br /> <br /> Join us for this latest Data Science Central webinar and learn how data scientists across different organizations have influenced and changed analysis behaviors across their companies. You will also learn helpful tips for integrating data science findings into your organization's decision making process.<br /> <br /> Speakers:<br /> <br /> Haarthi Sadasivam, Technical Product Manager -- Looker<br /> Olivia Winter, MS, Customer Advocate -- Looker<br /> Julian Winternheimer, Data Scientist -- Buffer<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: An Expert’s Guide to Apache Spark™ tag:www.datasciencecentral.com,2018-05-23:6448529:Video:723863 2018-05-23T22:52:20.713Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/2qthLEgirvnS7ghc3G3hk6TJ58M3j9V*ZbU0GmrzFpKMLtbUlTyK1Ba5D63nI0wkoij90rbt2KOYciE7VKAr226HFrEQOoNn/1915727013.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img src="https://api.ning.com/files/2qthLEgirvnS7ghc3G3hk6TJ58M3j9V*ZbU0GmrzFpKMLtbUlTyK1Ba5D63nI0wkoij90rbt2KOYciE7VKAr226HFrEQOoNn/1915727013.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that leverage advanced analytics like machine learning, graph analytics, and deep learning.<br /> <br /> Join Bill Chambers, author of the book “Spark: The Definitive Guide,” and Matei Zaharia, Chief Technologist and Co-founder of Databricks and the orginal creator of Apache Spark™, in this Data Science Central webinar as they break down the basic operations and common functions of Spark and walk through sample use cases where Spark has helped accelerate AI innovation.<br /> <br /> In this webinar, we will cover:<br /> <br /> A gentle overview of big data and Spark<br /> Expert guidance on how to use, deploy and maintain Spark <br /> The fundamentals of monitoring, tuning, and debugging Spark<br /> An exploration into machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library<br /> Speakers:<br /> Bill Chambers, Product Manager -- Databricks<br /> Matei Zaharia, Co-founder and Chief Technologist -- Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Revolutionize Your Data Analysis tag:www.datasciencecentral.com,2018-05-22:6448529:Video:723709 2018-05-22T20:57:53.824Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-data-analysis"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/V*Me6zu*5xKc8gw1i99zPgw30FzgOflroHyWYFKi0WX7jJrfFffWEuvMIRBcDyVbvZTvP2FpHF18jTvxOc6NmtiCgnX9*ijD/1914670745.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>How do you leverage the right data at the right time and then share your business-critical insights with the organization at large? Join us for this webinar and live demonstration to see how Reggie Wilkerson, Director of Enterprise Data Management at State Department Federal Credit Union (SDFCU), revolutionized his team’s tech stack to do just that.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-data-analysis"><br /> <img src="https://api.ning.com/files/V*Me6zu*5xKc8gw1i99zPgw30FzgOflroHyWYFKi0WX7jJrfFffWEuvMIRBcDyVbvZTvP2FpHF18jTvxOc6NmtiCgnX9*ijD/1914670745.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />How do you leverage the right data at the right time and then share your business-critical insights with the organization at large? Join us for this webinar and live demonstration to see how Reggie Wilkerson, Director of Enterprise Data Management at State Department Federal Credit Union (SDFCU), revolutionized his team’s tech stack to do just that. With a combination of Alteryx, Tableau, and Amazon Web Services, Reggie and his team of three revolutionized the way they perform analysis and deliver valuable insights to the businesses. Learn how they:<br /> <br /> <br /> <br /> •  Use leading enterprise analytics technologies to abolish manual processes ripe for human error and replace them with repeatable automated processes<br /> <br /> •  Drive impactful insights quickly with flexible, secure, and always-current cloud data storage instead of legacy on-premises options<br /> <br /> •  Save money by removing and replacing outdated systems that didn’t work – and that no one used – with a tech stack that works seamlessly together for stakeholders<br /> <br /> By partnering with Slalom for best and next practices and going after easy wins to show stakeholders the value of their systems, Reggie drove a digital transformation process that rippled out beyond his team. Join this latest Data Science Central webinar to learn how a re-envisioned tech stack can help you bring together IT and Business Analysts and allow them to use the right data at the right time.<br /> <br /> Speakers:<br /> Reginald Wilkerson, Director, Enterprise Data Management -- State Dept. Federal Credit Union<br /> Phil Hetzel, Consultant -- Slalom Consulting<br /> Michael Sullivan, Solutions Engineer -- Alteryx<br /> Raman Kaler, Sr. Manager, Alliance Marketing -- Alteryx<br /> <br /> Hosted by: <br /> <br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Top 4 Excel Functions Done Better with Data Wrangling tag:www.datasciencecentral.com,2018-05-21:6448529:Video:723526 2018-05-21T23:30:59.217Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/pWFsdFRaG2L5fjR58TtpVGFR4nxdayge3vgo5BpwAI0sW5NA16AyfC485US3c9IDCm7JGKxRQItojGF6fKt3IWsE*87cqHcL/1913819818.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br></br> <br></br> In this latest Data Science Central webinar, we will… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img src="https://api.ning.com/files/pWFsdFRaG2L5fjR58TtpVGFR4nxdayge3vgo5BpwAI0sW5NA16AyfC485US3c9IDCm7JGKxRQItojGF6fKt3IWsE*87cqHcL/1913819818.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br /> <br /> In this latest Data Science Central webinar, we will demonstrate how to leverage data wrangling techniques to execute common Excel functions more effectively, including:<br /> <br /> A side-by-side comparison of Excel vs. data wrangling platform<br /> Examples of real-world applications for data wrangling techniques<br /> Key functionality of a modern data wrangling platform<br /> Speakers:<br /> David McNamara, Customer Service Executive -- Trifacta<br /> Tanya Cashorali, Founding Partner -- TCB Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Combining Human Intelligence with Machine Learning for NLP and Speech tag:www.datasciencecentral.com,2018-05-17:6448529:Video:722639 2018-05-17T23:01:43.500Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/pWFsdFRaG2L5fjR58TtpVGFR4nxdayge3vgo5BpwAI0sW5NA16AyfC485US3c9IDCm7JGKxRQItojGF6fKt3IWsE*87cqHcL/1913819818.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img src="https://api.ning.com/files/pWFsdFRaG2L5fjR58TtpVGFR4nxdayge3vgo5BpwAI0sW5NA16AyfC485US3c9IDCm7JGKxRQItojGF6fKt3IWsE*87cqHcL/1913819818.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create the data, especially when the use case requires domain expertise or certain languages and accents.<br /> <br /> Join this latest Data Science Central webinar and learn how to incorporate better active learning and annotation strategies into your NLP projects to achieve better in your NLP and Speech applications.  This webinar will include a brief demo of the Figure Eight platform to show how to generate high-quality, human-annotated training data and incorporate that training data into human-in-the-loop machine learning systems that you can run in your own environment.<br /> <br /> Speaker:<br /> Robert Munro, Chief Technology Officer -- Figure Eight<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central