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  • Online: Virtual Happy Hour

    Online event

    One of the best parts of having in-person events is the ability to meet new engineers and data enthusiasts. For this event, we are going to try to bring this networking online. We will have several break-out rooms with a few leads who will have usher conversation. Break-out rooms will be assigned when the meeting starts based on the number of attendees. If there are particular topics you would like to discuss, please respond to the sign-up question. Bring your best Zoom background, a drink, and join the conversation! Break Out Rooms: - General / Random - Jason - Talent Development and Acquisition - Nathan - Challenges and Establishing Trust in ML - John - Impact of AI - Daniel Agenda ------------------------------------------------- 6:00 PM -- Greetings 6:05 PM -- Break out rooms assigned 7:30 PM -- Wrap-up

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  • Online: Using AWS, Terraform, and Ansible to Automate Splunk at Scale

    'Automate everything' is a key tenet of DevOps. Building a quality, automated infrastructure can be overwhelming and challenging, but with tools such as AWS, Terraform, and Ansible, one can build up a system that can both support the needs of the Sofware Engineers while maintaining the sanity of the DevOps Engineer. Agenda ------------------------------------------------- 12:00 PM -- Greetings 12:05 PM -- The DreamPort Splunk Project; How We Use AWS, Terraform, and Ansible to Automate Everything About a Splunk Cluster - Bill Cawthra Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- The DreamPort Splunk Project; How We Use AWS, Terraform, and Ansible to Automate Everything About a Splunk Cluster At DreamPort, we use cloud platforms, infrastructure-as-code tooling, configuration tools, automation software, and container technologies to very quickly design, develop, and prototype projects. This particular talk focuses on the tools used to deploy and configure a Splunk cluster for a particular project we recently ran. We will cover the deployment, configuration, and orchestration of a large 16 node Splunk cluster using tools that are a core set to DreamPort's cloud infrastructure toolbox; AWS, Terraform, Ansible, and Docker. It is recommended that attendees have a general understanding of AWS, Linux, Splunk, and Docker, and know about automation tools such as Terraform and Ansible. Attendees will learn how to use AWS, Terraform, Ansible, and Docker to deploy a large Splunk cluster, how to use Ansible to orchestrate and manage the Splunk cluster, and how to use Ansible to orchestrate and manage the Splunk cluster. Speaker ------------------------------------------------- Bill Cawthra Bill Cawthra is a Principal Cloud Infrastructure Architect for CyberPoint, managing project-related cloud systems and platforms. He works primarily on the AWS platform, using various automation tools to rapidly deploy and manage infrastructure. Bill has over 18 years of experience in computers and technology, working in a range of fields, including construction, DoD, health care, and social media.

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  • Online: Loyola Student Showcase - Predicting Outcomes and Profitability

    Please join us in June as we virtually visit Loyola University to hear from the next generation of data science superstars. Bring your questions! Agenda ------------------------------------------------- 5:30 PM -- Greetings 5:35 PM -- Predicting the Profitability of Out-of-Print Comic Books and Graphic Novels - Greg Muir 6:10 PM -- Understanding and Predicting Frederick County Animal Shelter Outcomes - Kaitlyn Longo Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- Predicting the Profitability of Out-of-Print Comic Books and Graphic Novels Like many collectibles, comic books and graphic novels have a wide price trajectory. While some are worth millions of dollars, most resell for far less than the purchase price. For a comic book business, the earlier you identify which items will rise or fall in price, the more you maximize your profits. The best course of action would be to purchase comics that are destined to appreciate in bulk from a distributor at wholesale prices. To do so, you need a way to identify which comics will appreciate in value. For my Loyola data science capstone project, I built a regression model that predicts how much a comic will appreciate when no longer available from the distributor. Understanding and Predicting Frederick County Animal Shelter Outcomes According to the American Society for the Prevention of Cruelty to Animals (ASPCA), approximately 6.5 million animals enter animal shelters in the United States each year, roughly half dogs and half cats. Only half of these animals get adopted, and about 25% of them are euthanized every year. Although some animals may be euthanized because they are dangerous, there are many innocent animals that lose their lives because they could not find a home. For my final capstone project in Loyola University Maryland’s data science program, I conducted a thorough data analysis for Frederick County Animal Control (FCAC). I used a combination of data visualization and predictive analytics to help FCAC with their daily operations and potentially improve animal adoption rates. Specifically, I created models aimed at predicting whether or not an animal will be adopted. In this talk, I will walk through the end-to-end process of my project, including data cleaning, exploratory data analysis, predictive modeling, and interpreting the results. Speaker ------------------------------------------------- Greg Muir Greg first got into data and programming while studying astronomy as an undergrad at Yale University. During his time there he was also a member of the Varsity Heavyweight Crew. After graduation, Greg put astronomy on hold to pursue a career in rowing and for the past 7 years has been coaching rowing at the D1 level at Loyola University Maryland. While at Loyola, Greg has returned back to programming and data through the Master's in Data Science program. Greg will be graduating at the end of August and is actively looking for opportunities in the data science field. Kaitlyn Longo Kaitlyn graduated from UMBC in 2016 with a Bachelor’s Degree in Mathematics and recently completed her Master’s in Data Science from Loyola University Maryland. She has been working at Booz Allen Hamilton as a data scientist for the past four years.

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  • Online: Using Psychology to Design Better Products & Services

    Join us in June to learn how to improve your design craft and learn more about the intersection of psychology and design. Agenda ------------------------------------------------- 12:00 PM -- Greetings 12:05 PM -- Using Psychology to Design Better Products & Services - Jon Yablonski Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- Using Psychology to Design Better Products & Services An understanding of psychology—specifically the psychology behind how users behave and interact with digital interfaces—is perhaps the single most valuable non-design skill a designer can have. The most elegant design can fail if it forces users to conform to the design rather than working within the “blueprint” of how humans perceive and process the world around them. Join Jon as he talks about this book Laws of UX, a guide that explains how you can apply key principles in psychology to build products and experiences that are more intuitive and human-centered. Speaker ------------------------------------------------- Jon Yablonski Jon Yablonski is a multidisciplinary designer, speaker, writer, and digital creator based in Detroit. His passion lies at the intersection of user experience design and front-end web development, and he often merges these two disciplines into a hybrid approach for digital problem-solving. When he’s not creating journey maps and prototypes, Jon is building helpful resources such as Laws of UX, Humane by Design, and the Web Field Manual. He’s currently working to define the next generation of in-vehicle interactive experiences as a senior product designer at General Motors. Jon can be reached on Twitter @jonyablonski.

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  • Online: Integrating Blockchain and Traditional Web

    Online event

    Blockchain technologies and tools continue to evolve. Join us virtually in May to learn how smart contracts and blockchain events can be integrated into your applications. Agenda ------------------------------------------------- 12:00 PM -- Greetings 12:05 PM -- Integrating Blockchain and Traditional Web: Why it matters to the Enterprise - Michael Coon Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- Integrating Blockchain and Traditional Web: Why it matters to the Enterprise Blockchain offers transparency, fraud prevention, and immutable ground truth for the data management part of any application. This generic description is the reason for its "use it for anything" marketing hype. While it is a general-purpose technology, there are some uses within the enterprise that are more practical right now: system/physical access controls, identity management, employee incentivization, ESOPs, and cross-organization data sharing. But prototypes and pilots for these concepts are not as easy to implement. In this talk, we will discuss some of the major challenges with blockchain integration. We will focus on the Ethereum platform and its smart contract technology. We will cover tech stack differences between Ethereum and the traditional web and how to mitigate risks for integration. We will also show how BUIDLHub is addressing some of these challenges to make prototyping and experimentation easier. Speaker ------------------------------------------------- Michael Coon Michael is a 20-year full-stack enterprise developer specializing in streaming, analytics, big data, and automation platforms. In 2017, he discovered blockchain and pivoted his career into full-time study and exploration and ultimately created BUIDLHub to make it easy for non-blockchain people to experiment with the technology. Company ------------------------------------------------- BUIDLHub (https://buidlhub.com) is a no-code automation platform integrating traditional web and blockchain. Similar to Zapier or IFTTT for the traditional web, our focus is on bridging communication and data between traditional apps and blockchain wallets and smart contracts.

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  • Online: Onboard to the Cloud with AWS Cloud9 and Python

    Join us in May to learn how you can build cloud-based machine learning applications using Python and AWS Lambda! Agenda ------------------------------------------------- 12:00 PM -- Greetings 12:05 PM -- Onboard to the Cloud with AWS and Cloud9Learn Python in One Hour - Noah Gift Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- Onboard to the Cloud with AWS Cloud9 and Python AWS Lambda functions are the building blocks for creating serverless applications on AWS. In this online training, you use Python to develop Lambda functions that communicate with essential AWS services: API Gateway, SQS, SNS, Step Functions, and Cloudwatch functions. You learn how a new cloud-based development environment, Cloud9, can streamline writing, debugging, and deploying AWS Lambda functions. Code: https://github.com/noahgift/awslambda Notebook: https://github.com/noahgift/awslambda/blob/master/beginners_guide_aws_lambda.ipynb Speaker ------------------------------------------------- Noah Gift Noah Gift is the founder of Pragmatic AI Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientist, and Cloud Architect. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic A.I. Labs.

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  • A Day in the Life of a Data Journalist - Virtual

    Online event

    Join our first virtual meetup to learn how data journalism helps journalists tell complex stories through the use of statistics, charts, infographics, and graphs. Agenda ------------------------------------------------- 12:00 PM -- A Day in the Life of a Data Journalist - Christine Zhang Location ------------------------------------------------- Zoom and YouTube Streaming A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube. Talks ------------------------------------------------- A Day in the Life of a Data Journalist Despite gaining prominence in recent years, “data journalism” is still a confusing term for many people. What does it mean to crunch numbers for the news? How does data journalism differ from data science and statistics, and where are the intersections? Come hear all about the world of news nerdery from your friendly neighborhood data journalist. Speaker ------------------------------------------------- Christine Zhang just joined the Financial Times as a data journalist on the US elections team for 2020. Previously, she was a data journalist at The Baltimore Sun, where she used numbers, statistics and graphics to tell local news stories on a variety of topics, including police overtime, homicide patterns, population demographics, local and statewide politics — and even made a series of plots visualizing the impressive performance of Ravens quarterback Lamar Jackson. Prior to joining The Sun in 2018, she worked at Two Sigma in New York City, the Los Angeles Times in Los Angeles and the Brookings Institution in Washington, D.C. She has a B.A. from Smith College and an M.A. from Columbia University. Christine's bylines: https://underthecurve.github.io/bylines/ Christine's LinkedIn: https://www.linkedin.com/in/christineyzhang/ Christine's author page: https://www.baltimoresun.com/bal-christine-zhang-20180802-staff.html

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  • Making Apache Spark Better With Delta Lake

    JHU APL, Building 200

    Managing data lakes, which are are data repositories that store large and varied sets of raw data in its native format, can be challenging. Join us in February to learn about Delta Lake, an open source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Agenda ------------------------------------------------- 6:30 PM -- Networking & Food 7:00 PM -- Greetings 7:05 PM -- Making Apache Spark™ Better With Delta Lake - Tim Lortz 8:30 PM -- Closings & Door Prizes Location ------------------------------------------------- JHU APL Building[masked] Johns Hopkins Rd Laurel, MD 20723 Parking ------------------------------------------------- Building 200 is on the South campus. There is ample free parking that surrounds the building. Food and Drinks ------------------------------------------------- Complimentary food, such as pizza and chips, and non-alcoholic beverages will be provided. Talks ------------------------------------------------- Making Apache Spark™ Better With Delta Lake Apache Spark™ is the dominant processing framework for big data. Delta Lake adds reliability to Spark so your analytics and machine learning initiatives have ready access to quality, reliable data. No more malformed data ingestion, difficulty deleting data for compliance, or issues modifying data for change data capture. This talk will cover the use of Delta Lake to enhance data reliability for Spark environments. We will also demonstrate an end-to-end big data pipeline capped by a machine learning model in Spark. More info available at https://docs.databricks.com/delta/index.html# Speakers ------------------------------------------------- Tim Lortz is a Solutions Architect at Databricks, where he helps Federal customers harness the power of their data through the combination of cloud computing, managed data lakes and machine learning. He is an advocate for highly scalable, open-source technologies such as Apache Spark, Delta Lake and MLflow. Tim can be found on LinkedIn at https://www.linkedin.com/in/tim-lortz-08925937/ Prior to Databricks, Tim spent over a decade working as a data scientist and leading data science teams in the Ft. Meade area, with a focus on infrastructure modeling & forecasting, signals intelligence and cybersecurity. Tim holds an MS and PhD in Industrial & Operations Engineering from the University of Michigan and a BS in Industrial Engineering from the University of Pittsburgh. Company ------------------------------------------------- Databricks As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets. Databricks was founded in 2013 and has thousands of global customers including Comcast, Shell, HP, Expedia, and Regeneron. The company also has hundreds of global partners that include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks is founded by the original creators of popular open source projects, including Apache Spark, Delta Lake, MLflow and Koalas. More info available at https://databricks.com/

  • Data Workshop: Applied Supervised Machine Learning for Cyber Security

    Loyola University Maryland-Columbia Graduate Center

    We are starting off the New Year with a special workshop on how machine learning can be used for cybersecurity. Agenda ------------------------------------------------- 6:30 PM -- Networking & Food 7:00 PM -- Greetings 7:05 PM -- Applied Supervised Machine Learning for Cyber Security - Charles Givre CISSP 8:45 PM -- Closings Location ------------------------------------------------- Loyola University 8890 McGaw Road Columbia, MD 21045 Directions ------------------------------------------------- Please proceed to the second floor upon entering. Parking ------------------------------------------------- There is ample free parking surrounding the building. Food and Drinks ------------------------------------------------- Complimentary food, such as pizza and chips, and non-alcoholic beverages will be provided. Talks ------------------------------------------------- Applied Supervised Machine Learning for Cyber Security Machine learning is a broad topic and in this short workshop, Mr. Charles Givre will walk you through the Supervised Learning process, with a particular focus on automating model tuning and feature engineering. By the end of this workshop, you will be able to create a simple model from a security-related data set, and optimize its performance. Speakers ------------------------------------------------- Charles Givre CISSP Mr. Charles Givre works as a manager at JP Morgan Chase. Prior to joining Deutsche Bank, Mr. Givre worked as a Senior Lead Data Scientist for Booz Allen Hamilton for the last seven years where he works in the intersection of cybersecurity and data science. Mr. Givre taught data science classes at BlackHat, the O'Reilly Security Conference, the Center for Research in Applied Cryptography and Cyber Security at Bar Ilan University. One of Mr. Givre's research interests is increasing the productivity of data science and analytic teams, and towards that end, he has been working extensively to promote the use of Apache Drill in security applications and is a committer and PMC Chair for the Drill project. Mr. Givre teaches online classes for O'Reilly about Drill and Security Data Science and is a coauthor for the O'Reilly book Learning Apache Drill. Mr. Givre holds a Masters Degree in Middle Eastern Studies from Brandeis University, as well as a Bachelors of Science in Computer Science and a Bachelor's of Music both from the University of Arizona. He blogs at thedataist.com and tweets @cgivre.

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  • Robotics and Machine Learning: Working with NVIDIA Jetson Kits

    UMBC Technology Center

    Curious about how GPUs work with AI and robotics? For less than $100, you can now buy small, powerful computers capable of running multiple neural networks or controlling robotics. Join in December to see how the NVIDIA Nano can be used to handle your AI needs. Agenda ------------------------------------------------- 6:30 PM -- Networking & Food 7:00 PM -- Greetings 8:00 PM -- A robotics and machine learning experience with NVIDIA® Jetson Nano™ - Patty Delafuente 8:45 PM -- Closings Location ------------------------------------------------- UMBC Technology Center Main Seminar Room 1450 S Rolling Road, Halethorpe, MD 21227 The Main Seminar Room is on the ground floor directly to the left of the entrance. Parking ------------------------------------------------- There is ample free parking near the building. Follow the sign to building 1450 where you will see three flags at the entrance. Parking is located on the LEFT. Food and Drinks ------------------------------------------------- Complimentary food, such as pizza and chips, and non-alcoholic beverages will be provided. Talks ------------------------------------------------- A robotics and machine learning experience with NVIDIA® Jetson Nano™ Interested in machine learning and AI? Do you want to learn more about high performance GPU programming and how it applies to Deep Learning? Patty Delafuente will introduce you to the Nvidia Jetson developer kits, discuss their applications, how to get started, and provide a live demonstration of NVIDIA® Jetson Nano™, an easy to use deep learning and robotics platform. Speakers ------------------------------------------------- Patty Delafuente Patty Delafuente, is a lead Data Scientist in the Advanced Data Analytics Lab at the Social Security Administration. She teaches evening classes for the University of Maryland Baltimore County’s graduate level Data Science Program. Patty is a member of the ‘MS in Analytics Advisory Board’ for Texas A&M University. Patty holds a Master of Science in Analytics from Texas A&M University along with a Bachelor and Masters in Information Systems and holds numerous certifications. In 2017, she was awarded the Texas A&M Margaret Sheather Memorial Award in Analytics for her Capstone Project, “Using Decision Trees to Analyze Patterns in Disability Fraud.” She has over twenty years of database engineering, business intelligence, and analytics experience. Her interests include machine learning, text mining, and using GPUs to improve the performance of analyzing and processing big data. She is a certified Nvidia Instructor in the ‘Fundamentals of Deep Learning for Computer Vision’ and ‘Accelerated Computing with Python’. Patty can be reached LinkedIn at https://www.linkedin.com/in/pattydelafuente319/ Resources ------------------------------------------------- NVIDIA Jetson Store - https://www.nvidia.com/en-us/autonomous-machines/jetson-store/

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