Next Meetup

Solving the Data Scientist's Dilemma – The Cold Start Problem
Description: Supervised machine learning is a great tool when you have labeled training data and known classes (outcomes and diagnoses) that you are trying to predict for new previously unseen data. But, the assumptions of labeled data and known classes are generally not true in unsupervised machine learning -- this is an example of a "cold start problem" -- when you have no prior knowledge to start with. This is a dilemma since unsupervised learning can be the path to true discovery through serendipitous data exploration and surprise detection in previously unseen data. We will discuss this challenge, various solutions, and some interesting results with illustrative examples. About the speaker Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean, Virginia USA. In those roles, he focuses on applications of data science, data analytics, machine learning, and artificial intelligence across a wide variety of disciplines. He also provides leadership and mentoring to multi-disciplinary teams of data scientists. He previously was Professor of Astrophysics and Computational Science at George Mason University for 12 years, where he taught, advised students, and performed research in the Data Science Bachelors program and the Computational Informatics Doctoral program. Prior to that, he worked 18 years on large data systems for NASA space science programs, including roles as Data Archive Project Scientist for NASA's Hubble Space Telescope and as the contract Program Manager in NASA's Space Science Data Operations Office. Kirk has a B.S. in Physics from LSU, and a Ph.D. in Astronomy from Caltech. He is a sought-after public speaker globally on data strategy topics. Since 2013, he has been identified as one of the top worldwide social influencers in Big Data and Data Science. Event details: • 7:00 Socialize and eat pizza • 7:30 Main talk • 8:30 Q&A Session • 8:40 Lightning talks Come, learn and find your way into the modern Data Science technologies. We look forward to your participation in a fun and exciting Data Science program focused on the technologies around the Data Science and Data Analytics space. Mo Medwani[masked]

WeWork Tower Place

3340 Peach tree Rd NE Suite 1010 · atlanta, ga

Upcoming Meetups

What we're about

Welcome to Big Bang Data Science Solutions Inc

Big Bang Data Science Solutions trains individuals and corporations on translating large, structured and unstructured, complex data into information to improve decision making. Our advanced curriculum includes a heavy emphasis on Data Science programming (R & Python), Data Visualization Machine Learning, and Deep Learning from Zero to Hero. It also helps clients uncover actionable insights to drive competitive advantage and capture business value.

We help individuals starting in data science-related fields or those seeking to improve their data science skills in data preprocessing, data mining, visualization, machine learning, and deep learning. We offer in-depth courses to fit your needs on your data scientist pathway, by interacting synchronously with instructors and utilizing industry tools and languages.

We help organizations integrate and operationalize data analytics solutions, enabling them to gain visibility into previously opaque or hard to measure processes; empowering our clients to make smarter business decisions.

Our team of data science professors, data experts, consultants, and data scientists leverage proven analytics methodologies, tools, and best practices to define the right analytics training and solutions for you and your organization. We help prepare clients to solve complex business challenges with specific use cases to drive future growth.

Our programs Include:

End to End Data Science Program

http://www.bigbang-datascience.com/data-science-12-weeks-program-details/

Practical Machine Learning with Python Scikit-Learn Program

http://www.bigbang-datascience.com/practical-machine-learning-with-python-scikit-learn-details/

Practical Deep Learning with Python TensorFlow Program

http://www.bigbang-datascience.com/practica... (http://www.bigbang-datascience.com/practical-deep-learning-with-tensorflow-details/)

SAP ARIBA (8 weeks)

http://www.bigbang-datascience.com/cloud/

Program Highlights:

• Hybrid classes (Virtual and physical)

• Flexible schedule (Evenings and weekends)

• 36 + LABS (12 Tableau Labs - 12 Python Labs - 12 R Labs and more )

• 3 + Cohort Projects & 1 Group Project

• 12 + Mini projects (R & Python)

• Extensive Live Online Training

• Instructor-Led Course

• Training Video Recordings

• Quality Training Materials

• Two-Way Interactive Sessions

• Job Oriented Training

• Mock Exam/ Graded Assessments

• Professional Certificate

• Interview Prep Job Placement and Placement Guidance

• Repeat any time at no cost

• Extra help if needed 24/7

Happy Data Science Journey!

Mo Medwani

Medwani@hotmail.com
6782099780

Members (1,298)

Photos (70)