What we're about

Our meetup is for people who wish to jump-start to their careers in Data Science - and like to learn how?

Who should be in this meetup?

• Data Science lovers
• Professionals who are looking to shift to data science career
• Students are considering data careers
• Professionals from engineering and science background who would like to excel in data skills.

What do we provide?

• Help you to learn basic data skills
• Identify needs in data science and define career paths for newcomers.
• Connect you with data experts in different areas.
• Provide steps to locate jobs in data science and identify a study path for data interviews.
• Provide mentorship

Upcoming events (4+)

Maximizing GPU utilization and model accuracy with data-centric AI practices

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_XgYnQXqcQr22AeZYoE7cIA

In computer vision projects, managing data is often an afterthought. That is why at least 31% of projects fail. Davit Buniatyan, CEO of Activeloop, will talk about how to build a solid data foundation to train more accurate and cost-effective computer vision models. In this session, you will learn about Hub, an open-source dataset format for AI. Hub works with computer vision datasets of any size and enables easy creation, storage, version control, and streaming to ML frameworks while training. Moreover, you will learn how to apply the data-centric framework to resolve common data bottlenecks when using tools like Amazon SageMaker. The speaker will also demonstrate how to visualize and explore datasets – from MNIST to ImageNet. As a result of the session, you will be able to easily build computer vision data pipelines and fully utilize the compute resources.

Agenda:

7:45 pm - 7:55 pm Arrival, socializing and Opening
7:55 pm - 9:00 pm Davit Buniatyan, "Maximizing GPU utilization and model accuracy with data-centric AI practices"
9:00 pm - 9:10 pm Q&A

About Davit Buniatyan

The idea of creating Hub came to Davit while he was pursuing a Ph.D. at Princeton Neuroscience Lab, where his research involved reconstructing the topology of mouse brains. As part of his research, he dealt with large-scale unstructured data which could cost millions of dollars a year to store. That inspired Davit to create Hub, and eventually Activeloop, the database for AI company.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_XgYnQXqcQr22AeZYoE7cIA

Webinar ID:[masked]

Free - Online - Live 9 Hours Machine Learning Bootcamp

Online event

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_zMmdjfJhT6CE5akJHa8XCw

This mini bootcamp is a great opportunity to start a data science career. We are offering a FREE mini bootcamp to prepare you data scientist positions.

This mini bootcamp will teach you Python basics and machine learning algorithms. During this mini bootcamp, you will explore a hands-on experience that ignites your enthusiasm, and gain the confidence to learn data science.

Your learning experience will be supported by office hours and a Slack channel, where you can ask your questions and get help when you got stuck.

Schedule:
December 4 - 11 - 18
Saturdays, from 5 PM to 8 PM (GMT)

What You’ll Learn in these 9 hours?

● Python and Jupyter Notebook Basics
● What is Data Science?
● Python Foundations
● Setup the Jupyter Notebook
● Introduction to Python with Jupyter Notebook
● Linear Regression
● Evaluating Model Fit
● Data PreProcessing with Python
● Feature extraction with Python

About Dr. Yasin Ceran

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_zMmdjfJhT6CE5akJHa8XCw

Webinar ID:[masked]

Free - Online - Live 9 Hours Python for Data Science Bootcamp

Online event

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_kSmzwf-RSkS_Zm8XAunncA

This class is targeted at aspiring programmers who are learning their first programming language. It may be appropriate for programmers who currently at beginner-intermediate level in another programming language, and want to get a jump start in learning Python. Such students will also clarify their understanding of what aspects of programming languages are broadly shared among languages, and which are idiosyncratic to whatever language they already speak.

The majority of this course is dedicated to learning foundational aspects of programming. However, it is often easier to elucidate these through concrete examples. Many of the examples are geared towards applications in analytics, statistics, and artificial intelligence. This focus skews the class slightly, but students will still build a strong enough foundation to learn domain specific skills. It also means, a little bit of prior statistics knowledge will be helpful during the last two classes.

Students who take this class will be able to:

●Identify and describe the foundations of all programming languages, especially the use of:
-Variables,
-Common data processing techniques,
-Control flow,
-Functions,
-Scope,
-Imports, libraries, and APIs
●Use Python to import and process data.
●Work with libraries and APIs in Python.
●Use Python libraries to create charts and graphs.
●Describe artificial intelligence and machine learning at a high level.
●Use Scikit Learn to perform ML tasks.

Your learning experience will be supported by office hours and a Slack channel, where you can ask your questions and get help when you got stuck.

Schedule:
December 4 - 11 - 18
Saturdays, from 9 pm to 12 am (GMT)

What You’ll Learn in these 9 hours?

• Conditional Statements
• Functions
• Try / Except
• List Comprehension
• Lambda Expressions, Map, and Filter Functions
• Examples

About Dr. Abdullah Karasan

Abdullah Karasan is a principal data scientist at Magnimind Academy and an instructor for O'Reilly and Springboard. He’s published several papers in prestigious journals in the field of financial data science and is the sole author of Machine Learning for Financial Risk Management with Python (forthcoming December 2021). Born in Berlin, Germany, he holds a master’s degree from the University of Michigan-Ann Arbor and a PhD in financial mathematics from Middle East Technical University. He has several published scientific articles and the author of the book in progress titled “Machine Learning for Financial Risk Management in Python”.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_kSmzwf-RSkS_Zm8XAunncA

Webinar ID:[masked]

Free - Online - Live 9 Hours Machine Learning Bootcamp

Online event

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_zMmdjfJhT6CE5akJHa8XCw

This mini bootcamp is a great opportunity to start a data science career. We are offering a FREE mini bootcamp to prepare you data scientist positions.

This mini bootcamp will teach you Python basics and machine learning algorithms. During this mini bootcamp, you will explore a hands-on experience that ignites your enthusiasm, and gain the confidence to learn data science.

Your learning experience will be supported by office hours and a Slack channel, where you can ask your questions and get help when you got stuck.

Schedule:
December 4 - 11 - 18
Saturdays, from 5 PM to 8 PM (GMT)

What You’ll Learn in these 9 hours?

● Python and Jupyter Notebook Basics
● What is Data Science?
● Python Foundations
● Setup the Jupyter Notebook
● Introduction to Python with Jupyter Notebook
● Linear Regression
● Evaluating Model Fit
● Data PreProcessing with Python
● Feature extraction with Python

About Dr. Yasin Ceran

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_zMmdjfJhT6CE5akJHa8XCw

Webinar ID:[masked]

Past events (81)

Free - Online - Live 9 Hours Python for Data Science Bootcamp

Online event

Photos (108)