BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220113T231831Z UID:4741F0A1-9DA5-47E9-A8D9-16FE8786AFF3 DTSTART;TZID=US/Pacific:20210417T120000 DTEND;TZID=US/Pacific:20210417T150000 DESCRIPTION:Zoom Virtual Event Details\n\nGain hands-on experience in build ing a Data Science engagement using Python\n\nExpected Outcomes:\n\n* Desi gn data science engagement using a defined methodology\n* Understand data sources and prepare data sets using Python\n* Prototype Data and AI-driven modeling techniques in Python\n\nWith the explosive growth of data in uns tructured data\, we have ample opportunities to design\, develop and deplo y AI models. The objective of this course is to get you an introductory co ding experience in data science. Our data science workshop is designed for someone with Excel\, SQL\, or similar background with limited or no expos ure to Python. The course uses a public cloud-based Python development env ironment.\n\nThis boot camp introduces our 7 steps data science methodolog y and uses Python to explain each step using a real-life use case example. \n\nHour 1:\n- Set up environment and access datasets\n- Hands-on exercise :\nStep 1: Describe Use Case to explain the selected use case for data sci ence work\nStep 2: Describe Data in data sets using Python.\n\nHour 2:\n- Overview of data preparation and modeling\nStep 3: Prepare Datasets using Python.\nStep 4: Develop a Model using Python.\n\nHour 3:\n- Overview of:\ nStep 5: Evaluate your AI Model Results using Python.\nStep 6: Deploy Mode l exploring options – no hands-on.\nStep 7: Monitor model - process for continuous monitoring – no hands-on\n\nAbout the Instructors\n\nDr. Arvi nd Sathi is the Director of AI Literacy at KPMG and a faculty member with University of California where he teaches courses on AI and Analytics. Dr. Sathi received his Ph.D. in Artificial Intelligence from Carnegie Mellon University and worked under Nobel Prize-winner Dr. Herbert A. Simon. Dr. S athi is a seasoned professional with leadership in Artificial Intelligence and Data Science solution development and delivery. Dr. Sathi was a pione er in developing AI solutions at Carnegie Group (a Carnegie Mellon startup )\, leading to its successful public offering as a profitable AI company. At KPMG / Bearingpoint\, he led the practices for Intelligent Process Auto mation\, Enterprise Integration\, & Analytics. At IBM\, Dr. Sathi has led several AI and Data Science programs involving IBM products from IBM Watso n\, and Cloud business units\, and has provided technical oversight to IBM ’s strategic accounts. He has also delivered numerous workshops and pres entations at industry conferences on technical subjects and holds four pat ents in information technology. He has published four books on analytics - Cognitive (Internet of) Things\, Engaging Customers Using Big Data\, Big Data Analytics\, Customer Experience Analytics. He has also been a contrib uting author in a number of Data Governance books written by Sunil Soares and has published an article series on Advanced Analytics for IBM Develope r Works.\n\nNeena Sathi is a principal at Applied AI Institute. She has 30 + years of experience envisioning\, designing\, developing\, and implemen ting AI solutions associated with enhancing customer experience\, back-off ice automation\, and risk and compliance for many Fortune 100 organization s. She has worked in senior technical positions at the Carnegie Group\, In c\, an AI startup\, Accenture\, KPMG\, and IBM.\n\nNeena has three master' s degrees including MBAs from leading US universities. She is a Master cer tified integration architect from IBM and Open Group as well as a certifie d Project management professional (PMP) from the Project management instit ute. She is also certified in many Cloud and Cognitive technologies. She h as presented widely and published many papers in AAAI\, IEEE\, WCF\, ECF\, IBM Information on Demand\, IBM Insight\, World of Watson\, IBM Developer Works\, and various academic journals.\n\nZoom Webinar Instructions for f irst timers\n\nThis will be a ZOOM Tutorial/Webinar. Instructions:\n1) Reg ister usinng the External Event link below\, including paying the $20 fee via PayPal.\n2) Upon completion\, and on the same page as the registration \, you will get a link to the meeting. [You can also add it to your calend ar.]\n3) Click on this link to open the tutorial/webinar.\n\nCo-sponsored by: OC ACM\n\nAgenda: \n12:00 PM (Noon) Greetings and Tutorial\n3:00 PM Ad journed\n\nVirtual: https://events.vtools.ieee.org/m/269267 LOCATION:Virtual: https://events.vtools.ieee.org/m/269267 ORGANIZER:AWBrown@USC.edu SEQUENCE:3 SUMMARY:Virtual IEEE OC-CS & OC ACM Tutorial "Data Science in Action using Python" URL;VALUE=URI:https://events.vtools.ieee.org/m/269267 X-ALT-DESC:Description: <br /><div align="left"><strong><span style="text-d ecoration: underline\;">Zoom Virtual Event</span> Details</strong></div>\n <div align="left">&nbsp\;</div>\n<div align="left">Gain hands-on experienc e in building a Data Science engagement using Python</div>\n<div align="le ft">\n<p>Expected Outcomes:</p>\n<p>* Design data science engagement using a defined methodology<br />* Understand data sources and prepare data set s using Python<br />* Prototype Data and AI-driven modeling techniques in Python</p>\n<p>With the explosive growth of data in unstructured data\, we have ample opportunities to design\, develop and deploy AI models. The ob jective of this course is to get you an introductory coding experience in data science. Our data science workshop is designed for someone with Excel \, SQL\, or similar background with limited or no exposure to Python. The course uses a public cloud-based Python development environment.</p>\n<p>T his boot camp introduces our 7 steps data science methodology and uses Pyt hon to explain each step using a real-life use case example.</p>\n<p>Hour 1:<br />- Set up environment and access datasets<br />- Hands-on exercise: <br />Step 1: Describe Use Case to explain the selected use case for data science work<br />Step 2: Describe Data in data sets using Python.</p>\n<p >Hour 2:<br />- Overview of data preparation and modeling<br />Step 3: Pre pare Datasets using Python.<br />Step 4: Develop a Model using Python.</p> \n<p>Hour 3:<br />- Overview of:<br />Step 5: Evaluate your AI Model Resul ts using Python.<br />Step 6: Deploy Model exploring options &ndash\; no h ands-on.<br />Step 7: Monitor model - process for continuous monitoring &n dash\; no hands-on</p>\n</div>\n<div align="left">\n<p><span style="text-d ecoration: underline\;"><strong>About the Instructors</strong></span>&nbsp \;</p>\n<p>Dr. Arvind Sathi is the Director of AI Literacy at KPMG and a f aculty member with University of California where he teaches courses on AI and Analytics. Dr. Sathi received his Ph.D. in Artificial Intelligence fr om Carnegie Mellon University and worked under Nobel Prize-winner Dr. Herb ert A. Simon. Dr. Sathi is a seasoned professional with leadership in Arti ficial Intelligence and Data Science solution development and delivery. Dr . Sathi was a pioneer in developing AI solutions at Carnegie Group (a Carn egie Mellon startup)\, leading to its successful public offering as a prof itable AI company. At KPMG / Bearingpoint\, he led the practices for Intel ligent Process Automation\, Enterprise Integration\, &amp\; Analytics. At IBM\, Dr. Sathi has led several AI and Data Science programs involving IBM products from IBM Watson\, and Cloud business units\, and has provided te chnical oversight to IBM&rsquo\;s strategic accounts. He has also delivere d numerous workshops and presentations at industry conferences on technica l subjects and holds four patents in information technology. He has publis hed four books on analytics - Cognitive (Internet of) Things\, Engaging Cu stomers Using Big Data\, Big Data Analytics\, Customer Experience Analytic s. He has also been a contributing author in a number of Data Governance b ooks written by Sunil Soares and has published an article series on Advanc ed Analytics for IBM Developer Works.</p>\n<p>Neena Sathi is a principal a t Applied AI Institute. She has 30 + years of experience envisioning\, des igning\, developing\, and implementing AI solutions associated with enhanc ing customer experience\, back-office automation\, and risk and compliance for many Fortune 100 organizations. She has worked in senior technical po sitions at the Carnegie Group\, Inc\, an AI startup\, Accenture\, KPMG\, a nd IBM.</p>\n<p>Neena has three master's degrees including MBAs from leadi ng US universities. She is a Master certified integration architect from I BM and Open Group as well as a certified Project management professional ( PMP) from the Project management institute. She is also certified in many Cloud and Cognitive technologies. She has presented widely and published m any papers in AAAI\, IEEE\, WCF\, ECF\, IBM Information on Demand\, IBM In sight\, World of Watson\, IBM Developer Works\, and various academic journ als.</p>\n</div>\n<div align="left"><strong>Zoom Webinar Instructions for first timers</strong></div>\n<div align="left"><br />This will be a ZOOM T utorial/Webinar. Instructions:<br />1) Register usinng the External Event link below\, including paying the $20 fee via PayPal.<br />2) Upon complet ion\, and on the same page as the registration\, you will get a link to th e meeting. [You can also add it to your calendar.]<br />3) Click on this l ink to open the tutorial/webinar.</div><br /><br />Agenda: <br /><p><span class="aBn" tabindex="0" data-term="goog_557201553"><span class="aQJ">12:0 0 PM</span></span>&nbsp\;(Noon) Greetings and Tutorial<br />3:00 PM&nbsp\; Adjourned</p> END:VEVENT END:VCALENDAR