This will be the first event in a series we're doing on Natural Language Processing.  It will be a highly accessible workshop covering the concepts of n-grams and bag-of-words.  We will work within the Python Notebook (Jupyter).

Allen Grimm will be presenting content / guiding the workshop.  With years of experience in modeling and predicting user behavior, he has recently begun several NLP projects and is looking forward to sharing the first steps of his journey.  Contact him through: GitHub, LinkedIn, Twitter, 

Event Structure:

• 6:45 - Doors open.

• 7:00 - Assistance with Jupyter installation and a mini-course in using the notebook will begin at 7.

• 7:20 - The NLP content will begin.

• 8:00 - Networking.

• 8:30 - We'll head to The Upper Lip, where we dig deep into data science topics over a beer

DAMAPDX March Chapter Meeting

Presented by: Dr. Bob Nisbet, Predictive Analytics Certificate Program, University of California

The rise of Predictive Analytics in business will generate many opportunities for data managers. The Business Ecosystem has arrived, and Predictive Analytics models are the “windows” into understanding its operational complexity. The Operational Data Store (ODS) is an elaboration of data warehousing design to serve the needs of business data users better (cf. Kent Graziano’s talk). The Analytical Data Mart (ADM) serves an analogous purpose to serve the needs of predictive analytics. Differences between the organization of data in an EDW or ODS and that needed to serve analytics efficiently are discussed. The discussion will include some specific data transforms required by analytical algorithms, and how the “heavy lifting” of their processing can be committed to data mart operations. An example of the blending of an ODS and an ADM to serve predictive analytics modeling operations in a Santa Barbara bank will be presented.

Registration (RSVP Required)

Register at: http://damapdx.org/index.php?option=com_seminar.

• Free for chapter members or employees of corporate members. • $15 for Non-Members • $5 for Students with valid student ID

• Costs help cover refreshments and speaker travel costs • See damapdx.org for the list of Corporate Members

Speaker

For the last 20 years of his career, Bob was active as a Data Scientist, initially for AT&T, then for NCR Corporation (after the split in 1996). He led the Yield Management analytical team at NCR Corporation which pioneered the design and development of configurable data mining applications for retail sales forecasting, and Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications, Insurance, Banking, Credit, membership organizations (e.g. AAA), and Health Care industries. He is lead author of the award-winning “Handbook of Statistical Analysis & Data Mining Applications” (Academic Press, 2009), and a co-author and general editor of the award-winning "Practical Text Mining" (Academic Press, 2012) and “Practical Predictive Analytics and Decisioning Systems in Medicine” (Academic Press, 2015). He serves as an Instructor in the University of California at Irvine Predictive Analytics Certificate Program, teaching many online and on-campus courses each year in Effective Data Preparation, and co-teaching Introduction to Predictive Analytics. He serves also as a technical advisor of the Predictive Analytics Certificate Program at UC-Irvine, as a Technical Editor of the Practical Predictive Analytics series of books by Cambridge University Press.

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join us, the rest of the DAMA board, and other fellow lovers of data at this regular chapter meeting in downtown Portland.

About our Club

http://www.freeknowledgemission.org/ 

We're located inside the North entrance of the Nike Victory/Edo Building in Air Zoom Blade Conference Room.

Come join us every Sunday at the Tech Academy. This is an interactive discussion group, with digital projector and whiteboard. Anybody can jump up, give their opinion or ask a question. We cover from fundamentals to advance. Everyone is a teacher and student.

We discuss everything from predictive analytics, machine learning, data pipelines, autonomous vehicles to Python and R programming.

Come join us for a panel discussion with Larry Gonzales, an internal recruiter from Intel, and others, in the Hillsdale Library Meeting Room. It is a large room with a capacity of upto 46 people.

The host and panel will discuss what recruiters look for for data-driven positions, from your Resume, Linkedin profile, Kaggle, Github accounts, etc. Lots of tips and advice from the "inside".

Questions will then be opened to the attendees.

Automation is the future of computing and conversational interfaces are the future of human-computer interactions. However, creating these systems requires us to reverse engineer some of the most fundamental aspects of life, which can be difficult and overwhelming — especially if you don’t know where to start. 

 Designing Intelligence will: 
• Help the you understand what’s happening in the artificial intelligence space and where it’s been. 
• Explain why you’ll be making one of these systems sooner than you think. 
• Teach you how to create the products that will thrive in the age of automation. 
• Give you language to help you sell your ideas to your team and bring your dreams to life. This is one talk you’ll regret missing.

Guest Speaker Joe Toscano will be presenting - @realjoet.

Formerly an Experience Designer for R/GA, Joe worked as a consultant for Google, where he and his team oversaw the Google product ecosystem and helped Google take products to market. This meant he and his team had to understand how each product strategically fit within the Google ecosystem now, how each product would evolve, over time, and how the decisions being made by individual teams would affect Google’s larger business goals, as a whole. Understanding this allowed him and his team to be confident that the decisions they were making would strategically move Google’s business forward.

Joe has since left his job at R/GA to pursue writing his book, Designing Intelligence. The book is being written to help people understand the current state of automation, where it's been and where it's going, how to design products that will thrive in the age of automation, and what role we, as technical talent, play in creating an inclusive future through automation. He hopes to help create ethical automation designers who not only understand best practices of making these systems but also understand the impact they'll be making on the world, through automation.

Note the earlier-than-normal start time of 6p.

11:00 - noon : Instruction ,
noon - 2pm : Social / Discussion ,

Come join us every Sunday morning at the Tech Academy.This is an interactive and immersive instructor lead meeting. This week we will cover the basic foundations of preparing datasets, simple and multiple linear regression, decision trees, ensemble methods and confusion matrices.

We use a digital project and whiteboard. The course is given at a comfortable pace, so that any attendee can interrupt and ask a question. No question is too small or wrong.

We ask all the attendees to be patient so that everyone attending learns at the same pace so that all attendees are at the same level at the end of the hour.

Attendees are encouraged to stay for our following event Hack Days, which is a open discussion, projects and socializing for beginners to advance.

Building and Deploying Predictive Models - A full day Data Education and Networking Event coming to Portland October 18th

Join your fellow Lovers of Data for a full day of data education and networking provided by your local Portland DAMA Chapter. The DAMA Portland Chapter Board, in conjunction with our sponsors WhereScape, are proud to welcome back one of our most popular speakers, Dean Abbott of Abbott Analytics. Dean is one of Cognilytica's 50 Data Science Influencers to follow for 2018.

This training is all day in downtown Portland Oregon, with Breakfast and Lunch provided. Dean will present four progressive sessions covering the building and deployment of predictive models. The sessions will include demos, and Dean prefers a largely interactive format allowing plenty of time for Q&A both during the sessions and at the end of the day.

Sponsorship has allowed us to lower the price this year for this all day training to $49 for chapter members and employees of DAMA sponsor companies ($69 general public) . This is an amazing value for your training budget, especially if you are looking for exposure to data science and how to apply predictive modeling to your business use-cases.

Learn more and Register at: https://damapdx.org/2018/08/13/dama-day-2018-building-and-deploying-predictive-models-with-dean-abbott/#more-579.

• Session 1 — Data Science Overview
• Session 2 — Data Preparation for Data Science
• Session 3 — Building Predictive Models (Trees, Neural Networks)
• Session 4 — Deploying Predictive Models and Demos
• Bonus Session: Q&A Roundtable with Dean

Breakfast, lunch, 4 presentation sessions, networking, vendor booths, and a bonus Q&A session - that's a full day of data training and more.

The Presenter

Dean Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems. In addition, Dean has developed and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions, and clustering algorithms.

Dean is a seasoned instructor, having taught a wide range of data mining tutorials and seminars. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Dean has also has taught both applied and hands-on data mining courses for a number of large software vendors.

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join me, the rest of the DAMA board, and other fellow lovers of data at this special data training event in downtown Portland.

Thanks for your support of local Data Education, we look forward to seeing you there!

Details
Same place, still looking for speakers. If you have anything you would like to present, let me know!

If you need parking, there's a parking deck below Safeway.

Agenda:

6:00 p.m.: Food, beverage, and networking

6:40 p.m.: Welcome message by Karl Fezer

6:45 p.m: Speaker 1: "Transfer Learning, or How to Stand on the Shoulders of Giants" - James DiPadua
7:30 p.m: Speaker 2: "Quantum Mechanics for Modeling Composite Semantic Spaces" - Connor Favreau
8:15 p.m.- 8:30: Project Ideas. Pitch your Project Ideas to this meetup group

8:30: End

Speaker 1 Details:

Abstract:

There's been a mountain of research into Deep Neural Networks' practical applications in image, audio and text processing. But these deep networks are often built on large corpuses of data (such as ImageNet or Wikipedia).

But that may not apply directly to your domain. Gathering data specific to your problem space may not only be a lengthy process but an expensive one too. That makes the business win a hard sell.

Transfer Learning can dramatically eliminate many of those problems, quickly.

In 'How to stand on the shoulders of giants,' we'll discuss the research background into Transfer Learning and how to implement the process in either Keras or PyTorch. The goal is for listeners to feel comfortable with the concept and prepared to begin researching an application in their workspaces.

Bio:

James is a wanderer, tinkerer, and ponderer. Not one to be pinned down, he's more comfortable in the abstract than in the known. He embraces ambiguity with a bearhug. That's a trick of course. He bear hugs the ambiguity into little mathematical boxes and then says "Dance!" and, oh, how that ambiguity dances! James currently hangs his hat at Vacasa where he works as a Senior Data Scientist tackling a myriad of growth-objectives with engineering and machine learning.

Speaker 2 Details:

Five years ago, Word2Vec offered a leap forward for the average data scientist to perform efficient algorithms in Natural Language Processing. From a body of text, Word2Vec generates a semantic space, in which the trained word vectors are often highly associated with their meaning. The next leap, a semantic space for phrases and sentences, proves tougher both computationally and in faithfully representing a composite meaning over multiple words. Surprisingly, quantifying particle interactions a la quantum mechanics shares close mathematical similarity to quantifying the meaning of words, phrases, and sentences. In this talk, I will provide an overview of current techniques in modeling language past word vectors, as well as point out the quantum mechanical aspects of these techniques. Emphasis will be placed on the “Compositional Distributional Semantics” model for the task of identifying word ambiguity."

Data Science Is the Future of Everything

Predictive Modeling and Analytics with R

Join us for our Predictive Modeling and Analytics workshop on Saturday, November 10th, 2018; featuring Martin Jetton, with 30+ years of advanced supply chain analytics, predictive analytics, and statistical consulting experience. In his previous role, he was the Senior Predictive Consultant at Corios; where he developed predictive models and scorecards, forecast trends, identify uncertainties, and assign the ideal strategies to maximize performance.

The world has now turned into a digital workspace. Online activity and real-world sensors are generating torrents of data about everything from weather to crime to our buying habits. Increasing computer power and new analytical techniques promise to turn masses of raw data into actionable intelligence—and thereby transform a variety of industries and propel us to a data-driven economy. According to analysts, the Data Analytics market will be almost $50B by 2020. Coupled with the estimation that by 2019 there will nearly 1.2 million open data jobs with no one to fill them, it is clear that understanding and communicating with data will be critical for impact. The skills needed to be a Business Analyst, Data Analyst, or Data Scientist are all about to be in real demand, and our trainings with experience Data Science Practitioners will help you get head start! (International Data Corporation).

HOW COMPANIES ARE USING R?

Facebook - For behavior analysis related to status updates and profile pictures. Google - For advertising effectiveness and economic forecasting. Twitter - For data visualization and semantic clustering Microsoft - Acquired Revolution R company and use it for a variety of purposes. Xbox uses R for a great gaming experience. Uber - For statistical analysis Airbnb - Scale data science. IBM - To help create IBM Watson, an open, cognitive computing technology platform that represents a new era in computing where systems understand the world like humans do: through senses, learning, and experience.

This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business.

WHY R PROGRAMMING FOR PREDICTIVE ANALYTICS?

R is a programming language originally written for statisticians to do statistical analysis, including predictive analytics. It’s open-source software, used extensively in academia to teach such disciplines as statistics, bioinformatics, and economics. From its humble beginnings, it has since been extended to do data modeling, data mining, and predictive analysis.

ABOUT THE INSTRUCTOR

Martin Jetton has 30+ years of advanced supply chain analytics, predictive analytics, and statistical consulting experience. He's currently a Principal at the Liberty Advisor Group, where he works in advanced supply chain analytics. In his previous role, he was the Senior Predictive Consultant at Corios; where he developed predictive models and scorecards, forecast trends, identify uncertainties, and assign the ideal strategies to maximize performance. The firm’s clients are in the banking, brokerage, credit, utilities and healthcare industries.

SOLD OUT?

This is one of our high demand classes. In the case, we sale out; email us at [email protected] and ask when our next course will be in.

HAVE SOME EXPERIENCE WITH EXCEL AND WANT TO IMPROVE YOUR SKILLS?

Practical, Hands-on Training for Advanced Excel Formulas & Functions

Do you have an intermediate understanding of Excel but are keen to break through to real mastery? Want to finally use the programme with ease and confidence at work and become known as an expert user? Take your Excel skills to the next level with our Advanced Excel course. You’ll soon be crunching data, using advanced formulas, creating impressive graphs and charts like a pro, plus much more.

WHY EXCEL MATTERS

We all know Excel is essential for any business. When efficiently applied it is a powerful tool, allowing you to manipulate vast amounts of data, automate tasks and present complex information however you see fit. According to Payscale, “80 percent of job openings require spreadsheet and word-processing software skills. Yet so many people never even give Excel a chance because it has an intimidating stigma around it.”

STRUCTURE OF COURSE

Advanced functions and formulas

 * Logical functions
 * Conditional functions
 * Financial functions
 * Text functions
 * Date functions
 * Array formulas

Lookups and data tables

 * Using lookup functions
 * Using MATCH and INDEX
 * Creating data tables

Advanced data management

 * Validating cell entries
 * Advanced filtering

Advanced charting

 * Chart formatting options
 * Combination charts
 * Graphical objects

PivotTables and PivotCharts

 * Working with PivotTables
 * Rearranging PivotTables
 * Formatting PivotTables
 * PivotCharts

Exporting and Importing Data

 * Exporting and importing text files
 * Getting external data

Analytical Tools

 * Goal Seek
 * Scenarios

Macros and Visual Basic

 * Running and recording a macro
 * Working with VBA code

If you walk through the finance or accounting department at any major corporate office, you will see computer screens filled with Excel spreadsheets outlining financial results, budgets, forecasts, and plans used to make big business decisions. Marketing and Product professionals using Excel to list customer and sales targets; managing thier sales force and planning future marketing plans based on past results. Pivot tables to quickly and easily summarize customer and sales data by category with a quick drag-and drop. HR professionals using giant spreadsheets full of employee data and understand exactly where the costs are coming from and how to best plan and control them for the future. Supply logistic professional to manage inventory and forecasts demand.

In essence, you can turn an entire department around just because you know how to manipulate data in order to get an aggregate view.

ABOUT THE INSTRUCTOR

Martin Jetton has 30+ years of advanced supply chain analytics, predictive analytics, and statistical consulting experience. He's currently a Principal at the Liberty Advisor Group, where he works in advanced supply chain analytics. In his previous role, he was the Senior Predictive Consultant at Corios; where he developed predictive models and scorecards, forecast trends, identify uncertainties, and assign the ideal strategies to maximize performance. The firm’s clients are in the banking, brokerage, credit, utilities and healthcare industries.

BENEFITS

MAKE YOUR RESUME STAND OUT

They are NOT seeing if you simply have Excel as a skill. They are diving deeping when it comes to determining which candidate to interview and hire. They look for Pivot Table, VLOOKUP, Macros, VBA, Conditional Formatting, Charting and Filtering…These are far more telling of your ability to an employer then writing Excel. Someone who writes VLOOKUP, Pivot Table, Filtering demonstrates an ability to analyse data and so has eliminated a potential barrier in the mind of the hiring manager reviewing your resume. In essence, use actual Excel functions in your Resume!

WHO SHOULD COME?

People whose work is completed through MS Excel; Software Engineers, Finance Professionals, HR Professionals, Marketing Professionals, Project Managers, Technology Professionals.

ADDITIONAL BENEFITS?

FOR FURTHER INFORMATION: PLEASE CONTACT US AT [email protected].

SOLD OUT?

This is one of our high demand classes. In the case, we sale out; email us at [email protected] and ask when our next course will be in.