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Changing your career with Data Science can be intimidating. Brian Spiering will provide practical advice on how best to navigate the seemingly unlimited choices. He will cover how to learn programming skills you'll need, how much Machine Learning is enough and how to develop the necessary communication skills. There will be plenty of time for questions and discussion. In this talk, Brian Spiering will draw on his broad experience to help you Starting A Career in Data Science in the field and how to forge your own path. Come with your questions, leave with a sense of purpose and direction! Agenda: 6:00 pm - 6:20 pm Arrival and mingling 6:20 pm - 6:30 pm Opening words by Murat Baday, CEO of Magnimind Academy, the Meetup sponsors. 6:30 pm - 7:20 pm Brian Spiering, Data Science Professor at USF | NLP & AI Engineer 7:20 pm - 7:30 pm Q&A MeetUp details: Brian Spiering is a professional speaker and a data scientist. He will talk about Starting A Career in Data Science and how will they affect our future. Anyone who is related to data science or thinking to be a part of it, can come and join our friendly meetup. We have special refreshments, pizza, beverages and promotions for the attendees. About Brian Spiering: Brian Spiering is Data Science Faculty at the University of San Francisco. He teaches Machine Learning and is the Career Service Advisor for their Masters in Data Science program. He is training the next generation of Data Scientists and Software Engineers with a focus on increasing diversity and access.
- Protect yourself as a data scientist from legal sanctions - Learn legal obligations before getting into trouble - Are you ready for legal obligations as a data scientist? - Do you know, how common is to face legal issues for data scientists? This is a great meetup for data scientists or people who want to be a data scientist in the future, to learn and expertise in legal issues and rights they might be facing in their profession. We will talk about legal issues with electronic discovery, data collection, privacy, cybersecurity, IoT and blockchain. Agenda: 6:00 pm - 6:20 pm Arrival and mingling 6:20 pm - 6:30 pm Opening words by Murat Baday, CEO of Magnimind Academy 6:30 pm - 7:20 pm Paul Starrett, Protect your rights as a data scientist 7:20 pm - 7:30 pm Q&A About Paul Starrett: Paul Starrett is a licensed private investigator (CA, IL) and attorney (CA) specializing in high-profile investigations and legal consulting especially where electronic data is central. He is founder and CEO of Starrett Consulting, Inc., a full-service investigations firm that leverages API’s from open-source and commercial data-science applications to analyze structured and unstructured data. He is former General Counsel and Chief Global Risk Officer of an international, publicly-held data management corporation heading their global legal, operations and risk-management groups. His 25-year career began in law enforcement and corporate security and later progressed into information-security engineering, electronic discovery and information management. Paul's education includes a Master of Science in Predictive Analytics from Northwestern University and a Master of Laws (LL.M.) in Taxation from Golden Gate University. He is also a Certified Fraud Examiner (CFE) and EnCase Certified Computer Forensics Examiner (EnCE). Paul is Founding and Current Chair of the Big Data Committee of the American Bar Association and active in the Association of Certified Fraud Examiners and Python Meetup Group (San Francisco). He is nationally published in the areas of interview and interrogation, electronic evidence, private investigations, and e-commerce law/technology. Paul’s speaking engagements include presentations in electronic evidence and data management to annual meetings of American Records Management Association (ARMA), International Legal Technology Association (ILTA), LegalTech (New York), High Tech Criminal Investigations Association (HTCIA), California District Attorneys Association and California Association of Licensed Investigators (CALI).
Mindrome Coworking Space & Private Office
Feed-Forward Neural Networks and Exploring Machine Learning -Come join us to build a foundation in understanding how neural networks work, the math behind them and applicable use cases. -We will cover how a neural network approximates arbitrary functions, how a neural network produces output, how a neural network learns and how to derive the math behind forward and backward propagation. -It would be helpful to review your partial derivatives but is not necessary to gain a foundational understanding of neural networks. In this talk, Abraham Kang will draw on his broad experience to help you identify neural networks work and how to forge your own path. Come with your questions, leave with a sense of purpose and direction! Agenda: 6:30 pm - 7:00 pm Arrival and mingling 7:00 pm - 7:20 pm Opening words by Murat Baday, CEO of Magnimind Academy, the Meetup sponsors. 7:20 pm - 8:20 pm Abraham Kang, AI/ML Security Leader, Public Speaker, Motivator, Positive Catalyst and Mentor 8:20 pm - 9:00 pm Q&A MeetUp details: Abraham Kang is a professional public speaker and a security leader. He will talk about a neural network approximates arbitrary functions. Anyone who is related to data science or thinking to be a part of it, can come and join our friendly meetup. We have special refreshments, pizza, beverages and promotions for the attendees. About Abraham Kang: Abraham Kang is fascinated with the nuanced details associated with programming languages and their associated APIs. Kang has a B.S. from Cornell University. He currently works for Samsung as a Senior Director Software helping to drive security and development in Samsung. Prior to joining Samsung, he worked as Principal Security Researcher for HP in their Software Security Research group. Abraham is focused on AI/ML, application, framework, blockchain smart contracts, intelligent assistants, and mobile security and has presented his findings at Black Hat USA, DEFCON, OWASP AppSec USA, RSA, and BSIDES.
Mindrome Coworking Space & Private Office
Thinking about starting a boot camp or a new field and unsure of your background or level of technical skills? We’ve got you covered. Join our prep course where you’ll learn the necessary prerequisite skills while learning basic data science. This boot camp is for non-coders who are interested in learning data science or those who have a technical background although are not familiar with the fundamentals of data science. This Data Science Prep-Course will teach you the fundamental skills of Python, SQL, Statistics and an introduction to machine learning. With those skills, you will be ready to take any kind of data science boot-camp or you’ll be ready to start learning data science on your own. During our prep course you will explore a hands-on experience that will ignite your enthusiasm and confidence to learn data science and its’ theory. Visit our website to learn detailed information about this boot camp. https://magnimindacademy.com/all-courses/data-science-prep-course/ Schedule: Start learning the fundamentals of data science with this convenient outside of business hours schedule of 16 hours as follows: Saturday, April 27, 2019 from 10:00 am – 7:00 pm Saturday, May 4, 2019 from 10:00 am – 7:00 pm What You’ll Learn in these 16 hours? 1- Python Explore fundamental data types such as strings, booleans, lists and dictionaries. Learn how to create and organize your code into a clean and professional flow. Learn to analyze data and grow skills to be become a data analyst. 2- SQL Discover how databases are structured, how to add and remove data from a database, and how to query a database, as well as, answer questions using aggregations and joins. 3- Probability and Statistics Model real data using common probability distributions and learn how to infer properties during the data generating process. 4- Linear Algebra Review and refine your linear algebra skills while focusing on relevant topics like vectors and matrices. 5- Data Visualization Most importantly, explore python libraries, tools, Pandas, Numpy, and Matplotlib. Application: We have 30 people attendee limit for this mini boot camp. You can apply through here, or, Via Eventbrite, https://www.eventbrite.com/e/data-science-prep-course-from-magnimind-academy-2-weeks-16-hours-tickets-58976630690 or, use our website to apply and pay at the door. https://magnimindacademy.com/all-courses/data-science-prep-course/