ºÝºÝߣshows by User: RehganAvon / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: RehganAvon / Tue, 05 Jun 2018 22:27:24 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: RehganAvon Ezgi Karaesmen - Data Cleaning and Manipulation with R /slideshow/ezgi-karaesmen-data-cleaning-and-manipulation-with-r/100810528 wia2018prespdf-180605222724
2018 Women in Analytics Conference https://www.womeninanalytics.org/ One of the main challenges of data analytics is data cleaning and manipulation to put the data in the correct shape/format to execute the analyses. In fact many data scientist spent a large portion of their time just to clean their data. R programming language has a diverse range of tools that makes this cumbersome task much more manageable and straightforward. These R family of functions are therefore a great start to teach and learn how to clean data before moving forward with analyses or data visualization.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ One of the main challenges of data analytics is data cleaning and manipulation to put the data in the correct shape/format to execute the analyses. In fact many data scientist spent a large portion of their time just to clean their data. R programming language has a diverse range of tools that makes this cumbersome task much more manageable and straightforward. These R family of functions are therefore a great start to teach and learn how to clean data before moving forward with analyses or data visualization.]]> Tue, 05 Jun 2018 22:27:24 GMT /slideshow/ezgi-karaesmen-data-cleaning-and-manipulation-with-r/100810528 RehganAvon@slideshare.net(RehganAvon) Ezgi Karaesmen - Data Cleaning and Manipulation with R RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ One of the main challenges of data analytics is data cleaning and manipulation to put the data in the correct shape/format to execute the analyses. In fact many data scientist spent a large portion of their time just to clean their data. R programming language has a diverse range of tools that makes this cumbersome task much more manageable and straightforward. These R family of functions are therefore a great start to teach and learn how to clean data before moving forward with analyses or data visualization. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wia2018prespdf-180605222724-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ One of the main challenges of data analytics is data cleaning and manipulation to put the data in the correct shape/format to execute the analyses. In fact many data scientist spent a large portion of their time just to clean their data. R programming language has a diverse range of tools that makes this cumbersome task much more manageable and straightforward. These R family of functions are therefore a great start to teach and learn how to clean data before moving forward with analyses or data visualization.
Ezgi Karaesmen - Data Cleaning and Manipulation with R from Rehgan Avon
]]> 241 5 https://cdn.slidesharecdn.com/ss_thumbnails/wia2018prespdf-180605222724-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dr. Karen Amstutz - Digitizing Health: How Analytics are Disrupting Healthcare and Can Transform your Career /slideshow/dr-karen-amstutz-digitizing-health-how-analytics-are-disrupting-healthcare-and-can-transform-your-career/94223483 031318amstutzwomeninanalyticsfinal-180418123326
2018 Women in Analytics Conference https://www.womeninanalytics.org/ This talk will introduce you to analytics in healthcare and review career possibilities in this growing field. Through a discussion of a variety of healthcare analytics and data use cases, you will appreciate the human aspect of healthcare analytics, why healthcare needs skills routine in other industries, how to get healthcare data savvy and whether a career in healthcare analytics might be right for you.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ This talk will introduce you to analytics in healthcare and review career possibilities in this growing field. Through a discussion of a variety of healthcare analytics and data use cases, you will appreciate the human aspect of healthcare analytics, why healthcare needs skills routine in other industries, how to get healthcare data savvy and whether a career in healthcare analytics might be right for you.]]> Wed, 18 Apr 2018 12:33:25 GMT /slideshow/dr-karen-amstutz-digitizing-health-how-analytics-are-disrupting-healthcare-and-can-transform-your-career/94223483 RehganAvon@slideshare.net(RehganAvon) Dr. Karen Amstutz - Digitizing Health: How Analytics are Disrupting Healthcare and Can Transform your Career RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ This talk will introduce you to analytics in healthcare and review career possibilities in this growing field. Through a discussion of a variety of healthcare analytics and data use cases, you will appreciate the human aspect of healthcare analytics, why healthcare needs skills routine in other industries, how to get healthcare data savvy and whether a career in healthcare analytics might be right for you. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/031318amstutzwomeninanalyticsfinal-180418123326-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ This talk will introduce you to analytics in healthcare and review career possibilities in this growing field. Through a discussion of a variety of healthcare analytics and data use cases, you will appreciate the human aspect of healthcare analytics, why healthcare needs skills routine in other industries, how to get healthcare data savvy and whether a career in healthcare analytics might be right for you.
Dr. Karen Amstutz - Digitizing Health: How Analytics are Disrupting Healthcare and Can Transform your Career from Rehgan Avon
]]> 180 4 https://cdn.slidesharecdn.com/ss_thumbnails/031318amstutzwomeninanalyticsfinal-180418123326-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is /slideshow/amanda-cinnamon-treat-your-code-like-the-valuable-software-it-is/92889007 treatyourcodelikethevaluablesoftwareitis-180404181657
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning.]]> Wed, 04 Apr 2018 18:16:57 GMT /slideshow/amanda-cinnamon-treat-your-code-like-the-valuable-software-it-is/92889007 RehganAvon@slideshare.net(RehganAvon) Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/treatyourcodelikethevaluablesoftwareitis-180404181657-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Data analysts create millions of lines of elegant, powerful code every year. However, because software development is not seen as their primary role, best practices of software engineering often fall to the wayside. Many data analysts are self-taught programmers who haven’t been exposed to tools like version control software, unit testing suites, and System Development Life Cycle (SDLC) processes. Popular software engineering concepts such as Don’t Repeat Yourself (DRY), design patterns, and modularization can vastly improve the quality and efficiency of analytics projects. This talk will provide a high-level introduction to these topics, and will focus on providing resources for additional learning.
Amanda Cinnamon - Treat Your Code Like the Valuable Software It Is from Rehgan Avon
]]> 153 2 https://cdn.slidesharecdn.com/ss_thumbnails/treatyourcodelikethevaluablesoftwareitis-180404181657-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cheryl Wiebe - Advanced Analytics in the Industrial World /slideshow/cheryl-wiebe-advanced-analytics-in-the-industrial-world/92880725 cherylwieeindustrialanalytics-180404163415
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Cheryl will talk about her consulting practice in Industrial Solutions, Analytic solutions for industrial IoT-enabled businesses, including connected factory, connected supply chain, smart mobility, connected assets. Her path to this practice has bounced between hands on systems development, IT strategy, business process reengineering, supply chain analytics, manufacturing quality analytics, and now Industrial IoT analytics. She spent time working in industry as a developer, as a management consultant, started and sold a company, before settling in to pursue this topic as a career analytics consultant. Cheryl will shed light on what's happening in industrial companies struggling to make the transition to digital, what that means, and what barriers they're challenged with. She'll touch on how/where artificial intelligence, deep learning, and machine learning technologies are being used most effectively in industrial companies, and what are the unique challenges they are facing. Reflecting on what's changed over the years, and her journey to witness this, Cheryl will pose what she considers important ideas to consider for women (and men) in pursuing an analytics career successfully and meaningfully.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Cheryl will talk about her consulting practice in Industrial Solutions, Analytic solutions for industrial IoT-enabled businesses, including connected factory, connected supply chain, smart mobility, connected assets. Her path to this practice has bounced between hands on systems development, IT strategy, business process reengineering, supply chain analytics, manufacturing quality analytics, and now Industrial IoT analytics. She spent time working in industry as a developer, as a management consultant, started and sold a company, before settling in to pursue this topic as a career analytics consultant. Cheryl will shed light on what's happening in industrial companies struggling to make the transition to digital, what that means, and what barriers they're challenged with. She'll touch on how/where artificial intelligence, deep learning, and machine learning technologies are being used most effectively in industrial companies, and what are the unique challenges they are facing. Reflecting on what's changed over the years, and her journey to witness this, Cheryl will pose what she considers important ideas to consider for women (and men) in pursuing an analytics career successfully and meaningfully.]]> Wed, 04 Apr 2018 16:34:15 GMT /slideshow/cheryl-wiebe-advanced-analytics-in-the-industrial-world/92880725 RehganAvon@slideshare.net(RehganAvon) Cheryl Wiebe - Advanced Analytics in the Industrial World RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Cheryl will talk about her consulting practice in Industrial Solutions, Analytic solutions for industrial IoT-enabled businesses, including connected factory, connected supply chain, smart mobility, connected assets. Her path to this practice has bounced between hands on systems development, IT strategy, business process reengineering, supply chain analytics, manufacturing quality analytics, and now Industrial IoT analytics. She spent time working in industry as a developer, as a management consultant, started and sold a company, before settling in to pursue this topic as a career analytics consultant. Cheryl will shed light on what's happening in industrial companies struggling to make the transition to digital, what that means, and what barriers they're challenged with. She'll touch on how/where artificial intelligence, deep learning, and machine learning technologies are being used most effectively in industrial companies, and what are the unique challenges they are facing. Reflecting on what's changed over the years, and her journey to witness this, Cheryl will pose what she considers important ideas to consider for women (and men) in pursuing an analytics career successfully and meaningfully. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cherylwieeindustrialanalytics-180404163415-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Cheryl will talk about her consulting practice in Industrial Solutions, Analytic solutions for industrial IoT-enabled businesses, including connected factory, connected supply chain, smart mobility, connected assets. Her path to this practice has bounced between hands on systems development, IT strategy, business process reengineering, supply chain analytics, manufacturing quality analytics, and now Industrial IoT analytics. She spent time working in industry as a developer, as a management consultant, started and sold a company, before settling in to pursue this topic as a career analytics consultant. Cheryl will shed light on what&#39;s happening in industrial companies struggling to make the transition to digital, what that means, and what barriers they&#39;re challenged with. She&#39;ll touch on how/where artificial intelligence, deep learning, and machine learning technologies are being used most effectively in industrial companies, and what are the unique challenges they are facing. Reflecting on what&#39;s changed over the years, and her journey to witness this, Cheryl will pose what she considers important ideas to consider for women (and men) in pursuing an analytics career successfully and meaningfully.
Cheryl Wiebe - Advanced Analytics in the Industrial World from Rehgan Avon
]]> 181 2 https://cdn.slidesharecdn.com/ss_thumbnails/cherylwieeindustrialanalytics-180404163415-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Wei Xu - Innovative Applications of AI Panel /slideshow/wei-xu-innovative-applications-of-ai-panel/92790374 20180315wiaaipanelshare-180403162543
2018 Women in Analytics Conference https://www.womeninanalytics.org/ The goal of this panel is to discuss where individual industries or areas of focus has been successful and unique in utilizing AI as a technology, if/where it is struggling with the adoption and why, and what complexities exist around fully utilizing AI as a solution.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ The goal of this panel is to discuss where individual industries or areas of focus has been successful and unique in utilizing AI as a technology, if/where it is struggling with the adoption and why, and what complexities exist around fully utilizing AI as a solution.]]> Tue, 03 Apr 2018 16:25:43 GMT /slideshow/wei-xu-innovative-applications-of-ai-panel/92790374 RehganAvon@slideshare.net(RehganAvon) Wei Xu - Innovative Applications of AI Panel RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ The goal of this panel is to discuss where individual industries or areas of focus has been successful and unique in utilizing AI as a technology, if/where it is struggling with the adoption and why, and what complexities exist around fully utilizing AI as a solution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20180315wiaaipanelshare-180403162543-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ The goal of this panel is to discuss where individual industries or areas of focus has been successful and unique in utilizing AI as a technology, if/where it is struggling with the adoption and why, and what complexities exist around fully utilizing AI as a solution.
Wei Xu - Innovative Applications of AI Panel from Rehgan Avon
]]> 248 5 https://cdn.slidesharecdn.com/ss_thumbnails/20180315wiaaipanelshare-180403162543-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Helen Patton - Governing Big Data: Security, Privacy & Data Management /RehganAvon/helen-patton-governing-big-data-security-privacy-data-management helenpattongoverningbigdata-180330204447
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions.]]> Fri, 30 Mar 2018 20:44:46 GMT /RehganAvon/helen-patton-governing-big-data-security-privacy-data-management RehganAvon@slideshare.net(RehganAvon) Helen Patton - Governing Big Data: Security, Privacy & Data Management RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/helenpattongoverningbigdata-180330204447-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions.
Helen Patton - Governing Big Data: Security, Privacy & Data Management from Rehgan Avon
]]> 340 1 https://cdn.slidesharecdn.com/ss_thumbnails/helenpattongoverningbigdata-180330204447-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dr. Lara Sucheston-Campbell - Building a working farm: Planning and planting for a successful analytics culture and team /slideshow/dr-lara-suchestoncampbell-building-a-working-farm-planning-and-planting-for-a-successful-analytics-culture-and-team/92421582 drsuchestoncampbellosuplanningforasuccessfulanalyticsculter-180330204320
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Setting up a successful analytics team with the objective of asking and answering any hypothesis based questions is a bit like running a farm. Two fundamental principles of your (data) farm: it’s important the farm has a mission that everyone buys into and to which everyone can contribute andits imperative that your fields (of research) are always in slightly different states from planning to harvesting. This talk will focus on approaches to creating and maintaining an effective and successful analytics team, defined simply as people working together in a committed, interdependent way where team members share responsibility and hold themselves accountable for attaining the results. I will cover the elements of an effective team, from establishing an environment of psychological safety to structure and clarity of purpose, what an effective team member looks like, how to find and cultivate him or her and how to avoid the Apollo syndrome. Sustaining your farm while its growing is just as imperative as its growth, and thus we will also discuss the value of the daily stand-up and the use project retrospectives so next seasons crops are even better. This talk is for anyone interested in building a happy, productive analytic group and data farm of any size.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Setting up a successful analytics team with the objective of asking and answering any hypothesis based questions is a bit like running a farm. Two fundamental principles of your (data) farm: it’s important the farm has a mission that everyone buys into and to which everyone can contribute andits imperative that your fields (of research) are always in slightly different states from planning to harvesting. This talk will focus on approaches to creating and maintaining an effective and successful analytics team, defined simply as people working together in a committed, interdependent way where team members share responsibility and hold themselves accountable for attaining the results. I will cover the elements of an effective team, from establishing an environment of psychological safety to structure and clarity of purpose, what an effective team member looks like, how to find and cultivate him or her and how to avoid the Apollo syndrome. Sustaining your farm while its growing is just as imperative as its growth, and thus we will also discuss the value of the daily stand-up and the use project retrospectives so next seasons crops are even better. This talk is for anyone interested in building a happy, productive analytic group and data farm of any size.]]> Fri, 30 Mar 2018 20:43:20 GMT /slideshow/dr-lara-suchestoncampbell-building-a-working-farm-planning-and-planting-for-a-successful-analytics-culture-and-team/92421582 RehganAvon@slideshare.net(RehganAvon) Dr. Lara Sucheston-Campbell - Building a working farm: Planning and planting for a successful analytics culture and team RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Setting up a successful analytics team with the objective of asking and answering any hypothesis based questions is a bit like running a farm. Two fundamental principles of your (data) farm: it’s important the farm has a mission that everyone buys into and to which everyone can contribute andits imperative that your fields (of research) are always in slightly different states from planning to harvesting. This talk will focus on approaches to creating and maintaining an effective and successful analytics team, defined simply as people working together in a committed, interdependent way where team members share responsibility and hold themselves accountable for attaining the results. I will cover the elements of an effective team, from establishing an environment of psychological safety to structure and clarity of purpose, what an effective team member looks like, how to find and cultivate him or her and how to avoid the Apollo syndrome. Sustaining your farm while its growing is just as imperative as its growth, and thus we will also discuss the value of the daily stand-up and the use project retrospectives so next seasons crops are even better. This talk is for anyone interested in building a happy, productive analytic group and data farm of any size. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/drsuchestoncampbellosuplanningforasuccessfulanalyticsculter-180330204320-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Setting up a successful analytics team with the objective of asking and answering any hypothesis based questions is a bit like running a farm. Two fundamental principles of your (data) farm: it’s important the farm has a mission that everyone buys into and to which everyone can contribute andits imperative that your fields (of research) are always in slightly different states from planning to harvesting. This talk will focus on approaches to creating and maintaining an effective and successful analytics team, defined simply as people working together in a committed, interdependent way where team members share responsibility and hold themselves accountable for attaining the results. I will cover the elements of an effective team, from establishing an environment of psychological safety to structure and clarity of purpose, what an effective team member looks like, how to find and cultivate him or her and how to avoid the Apollo syndrome. Sustaining your farm while its growing is just as imperative as its growth, and thus we will also discuss the value of the daily stand-up and the use project retrospectives so next seasons crops are even better. This talk is for anyone interested in building a happy, productive analytic group and data farm of any size.
Dr. Lara Sucheston-Campbell - Building a working farm: Planning and planting for a successful analytics culture and team from Rehgan Avon
]]> 203 4 https://cdn.slidesharecdn.com/ss_thumbnails/drsuchestoncampbellosuplanningforasuccessfulanalyticsculter-180330204320-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a Hint of DevOps /slideshow/kelly-obriant-dataops-in-the-cloud-how-to-supercharge-data-science-with-a-hint-of-devops/92421308 kellyobriantdataopsrinthecloud-180330203235
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Over the last year I’ve become obsessed with learning how to be a better "cloud computing evangelist to data scientists" - specifically to the R community. I’ve learned that this isn’t often an easy undertaking. Most people (data scientists or not) are skeptical of changing up the tools and workflows they’ve come to rely on when those systems seem to be working. Resistance to change increases even further with barriers to quick adoption, such as having to teach yourself a completely new technology or framework. I’d like to give a talk about how working in the cloud changes data science and how exploring these tools can lead to a world of new possibilities within the intersection of DevOps and Data Analytics. Topics to discuss: - Working through functionality/engineering challenges with R in a cloud environment - Opportunities to customize and craft your ideal version of R/RStudio - Making and embracing a decision on what is “real" about your analysis or daily work (Chapter 6 in R for Data Science) - Running multiple R instances in the cloud (why would you want to do this?) - Becoming an R/Data Science Collaboration wizard: Building APIs with Plumber in the Cloud]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ Over the last year I’ve become obsessed with learning how to be a better "cloud computing evangelist to data scientists" - specifically to the R community. I’ve learned that this isn’t often an easy undertaking. Most people (data scientists or not) are skeptical of changing up the tools and workflows they’ve come to rely on when those systems seem to be working. Resistance to change increases even further with barriers to quick adoption, such as having to teach yourself a completely new technology or framework. I’d like to give a talk about how working in the cloud changes data science and how exploring these tools can lead to a world of new possibilities within the intersection of DevOps and Data Analytics. Topics to discuss: - Working through functionality/engineering challenges with R in a cloud environment - Opportunities to customize and craft your ideal version of R/RStudio - Making and embracing a decision on what is “real" about your analysis or daily work (Chapter 6 in R for Data Science) - Running multiple R instances in the cloud (why would you want to do this?) - Becoming an R/Data Science Collaboration wizard: Building APIs with Plumber in the Cloud]]> Fri, 30 Mar 2018 20:32:34 GMT /slideshow/kelly-obriant-dataops-in-the-cloud-how-to-supercharge-data-science-with-a-hint-of-devops/92421308 RehganAvon@slideshare.net(RehganAvon) Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a Hint of DevOps RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Over the last year I’ve become obsessed with learning how to be a better "cloud computing evangelist to data scientists" - specifically to the R community. I’ve learned that this isn’t often an easy undertaking. Most people (data scientists or not) are skeptical of changing up the tools and workflows they’ve come to rely on when those systems seem to be working. Resistance to change increases even further with barriers to quick adoption, such as having to teach yourself a completely new technology or framework. I’d like to give a talk about how working in the cloud changes data science and how exploring these tools can lead to a world of new possibilities within the intersection of DevOps and Data Analytics. Topics to discuss: - Working through functionality/engineering challenges with R in a cloud environment - Opportunities to customize and craft your ideal version of R/RStudio - Making and embracing a decision on what is “real" about your analysis or daily work (Chapter 6 in R for Data Science) - Running multiple R instances in the cloud (why would you want to do this?) - Becoming an R/Data Science Collaboration wizard: Building APIs with Plumber in the Cloud <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kellyobriantdataopsrinthecloud-180330203235-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ Over the last year I’ve become obsessed with learning how to be a better &quot;cloud computing evangelist to data scientists&quot; - specifically to the R community. I’ve learned that this isn’t often an easy undertaking. Most people (data scientists or not) are skeptical of changing up the tools and workflows they’ve come to rely on when those systems seem to be working. Resistance to change increases even further with barriers to quick adoption, such as having to teach yourself a completely new technology or framework. I’d like to give a talk about how working in the cloud changes data science and how exploring these tools can lead to a world of new possibilities within the intersection of DevOps and Data Analytics. Topics to discuss: - Working through functionality/engineering challenges with R in a cloud environment - Opportunities to customize and craft your ideal version of R/RStudio - Making and embracing a decision on what is “real&quot; about your analysis or daily work (Chapter 6 in R for Data Science) - Running multiple R instances in the cloud (why would you want to do this?) - Becoming an R/Data Science Collaboration wizard: Building APIs with Plumber in the Cloud
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a Hint of DevOps from Rehgan Avon
]]> 294 5 https://cdn.slidesharecdn.com/ss_thumbnails/kellyobriantdataopsrinthecloud-180330203235-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bijaya Zenchenko - An Embedding is Worth 1000 Words - Start Using Word Embeddings in Natural Language Processing for your Business /slideshow/bijaya-zenchenko-an-embedding-is-worth-1000-words-start-using-word-embeddings-in-natural-language-processing-for-your-business/92421227 v2wiajaya-180330202932
2018 Women in Analytics Conference https://www.womeninanalytics.org/ In this session, we briefly cover the rich history of word embedding in Natural Language Processing -- from vector-space models to more recent techniques utilizing a neural network architecture. These different approaches to word embeddings arise from varying hypotheses for how to understand our data, such as "Is a car similar to a bus?" or "Is a car similar to a road?". We cover the pros and cons of these approaches along with relevant applications for each, focusing on unsupervised machine learning using user-generated, unstructured data from travel industry reviews. After this session, you will have a deeper understanding of the nuances of different word embedding models, various natural language applications, and the python packages you need to pull insights from your text data.]]>
2018 Women in Analytics Conference https://www.womeninanalytics.org/ In this session, we briefly cover the rich history of word embedding in Natural Language Processing -- from vector-space models to more recent techniques utilizing a neural network architecture. These different approaches to word embeddings arise from varying hypotheses for how to understand our data, such as "Is a car similar to a bus?" or "Is a car similar to a road?". We cover the pros and cons of these approaches along with relevant applications for each, focusing on unsupervised machine learning using user-generated, unstructured data from travel industry reviews. After this session, you will have a deeper understanding of the nuances of different word embedding models, various natural language applications, and the python packages you need to pull insights from your text data.]]> Fri, 30 Mar 2018 20:29:32 GMT /slideshow/bijaya-zenchenko-an-embedding-is-worth-1000-words-start-using-word-embeddings-in-natural-language-processing-for-your-business/92421227 RehganAvon@slideshare.net(RehganAvon) Bijaya Zenchenko - An Embedding is Worth 1000 Words - Start Using Word Embeddings in Natural Language Processing for your Business RehganAvon 2018 Women in Analytics Conference https://www.womeninanalytics.org/ In this session, we briefly cover the rich history of word embedding in Natural Language Processing -- from vector-space models to more recent techniques utilizing a neural network architecture. These different approaches to word embeddings arise from varying hypotheses for how to understand our data, such as "Is a car similar to a bus?" or "Is a car similar to a road?". We cover the pros and cons of these approaches along with relevant applications for each, focusing on unsupervised machine learning using user-generated, unstructured data from travel industry reviews. After this session, you will have a deeper understanding of the nuances of different word embedding models, various natural language applications, and the python packages you need to pull insights from your text data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/v2wiajaya-180330202932-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2018 Women in Analytics Conference https://www.womeninanalytics.org/ In this session, we briefly cover the rich history of word embedding in Natural Language Processing -- from vector-space models to more recent techniques utilizing a neural network architecture. These different approaches to word embeddings arise from varying hypotheses for how to understand our data, such as &quot;Is a car similar to a bus?&quot; or &quot;Is a car similar to a road?&quot;. We cover the pros and cons of these approaches along with relevant applications for each, focusing on unsupervised machine learning using user-generated, unstructured data from travel industry reviews. After this session, you will have a deeper understanding of the nuances of different word embedding models, various natural language applications, and the python packages you need to pull insights from your text data.
Bijaya Zenchenko - An Embedding is Worth 1000 Words - Start Using Word Embeddings in Natural Language Processing for your Business from Rehgan Avon
]]> 457 4 https://cdn.slidesharecdn.com/ss_thumbnails/v2wiajaya-180330202932-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 BDAA_Newsletter /slideshow/bdaanewsletter-44042320/44042320 16f7cbee-01bb-4876-9662-f9d5dfffb135-150129115735-conversion-gate01
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]]> Thu, 29 Jan 2015 11:57:35 GMT /slideshow/bdaanewsletter-44042320/44042320 RehganAvon@slideshare.net(RehganAvon) BDAA_Newsletter RehganAvon <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/16f7cbee-01bb-4876-9662-f9d5dfffb135-150129115735-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
BDAA_Newsletter from Rehgan Avon
]]> 340 5 https://cdn.slidesharecdn.com/ss_thumbnails/16f7cbee-01bb-4876-9662-f9d5dfffb135-150129115735-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/wia2018prespdf-180605222724-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ezgi-karaesmen-data-cleaning-and-manipulation-with-r/100810528 Ezgi Karaesmen - Data ... https://cdn.slidesharecdn.com/ss_thumbnails/031318amstutzwomeninanalyticsfinal-180418123326-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dr-karen-amstutz-digitizing-health-how-analytics-are-disrupting-healthcare-and-can-transform-your-career/94223483 Dr. Karen Amstutz - Di... https://cdn.slidesharecdn.com/ss_thumbnails/treatyourcodelikethevaluablesoftwareitis-180404181657-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/amanda-cinnamon-treat-your-code-like-the-valuable-software-it-is/92889007 Amanda Cinnamon - Trea...