What we're about

ODSC brings together the open source and data science communities with the goal of helping its members learn, connect and grow.

The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:

1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.

2. Promote the use of open source languages and tools amongst data scientists and others.

3. Host educational workshops.

4. Spread awareness of new open source languages and tools that can be used in data science.

5. Contribute back to the open source community.

Who is this meetup for?

• Data engineers, analysts, scientists, and other practitioners

• R, Python and other software engineers who work with data or want to learn

• Data visualization developers and designers

• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilize open source tools

Get Involved with our Meetups:

• Speaker Form ( https://docs.google.com/a/odsc.com/forms/d/1trkCoecAMa8za_ZzfN5bW6ZNBaRlmqJSQvuME_2nbJA/edit?usp=drive_web ) - Submit a talk, tutorial, or panel.

• Suggest a Meetup Topic Form ( https://docs.google.com/forms/d/1rEjO3UMMXRXtY8Yr_J_jj3ebYwsIFqcGA6FZzWK4rd0/edit )

• Volunteer Form ( https://docs.google.com/forms/d/1Vu3B72avz2I1xx618pEFGsuywZE9t4n78br9vSEX9oE/edit )

• Host or Sponsor Form ( https://docs.google.com/forms/d/1eyM9hJ3l8TlNmw35re65mH7mFCmsPoRZ1p5RJQEVhnk/edit )

• Showcase your Startup Form ( https://docs.google.com/forms/d/1oz8A4fbfe6HHs71v4nMpcf9FP_kpS9CcCfd3qIBS5HU/edit )

Get free access to more talks like this at LearnAI

· LearnAI: https://learnai.odsc.com/

· Facebook: https://www.facebook.com/OPENDATASCI/

· Twitter: https://twitter.com/odsc & @odsc (https://twitter.com/odsc)

· LinkedIn: https://www.linkedin.com/company/open-data-science/

· Slack Channel: http://bit.ly/2RkOf9l

Upcoming events (5)

Putting Machine Learning Models into Production on MPP Platforms

We want to invite you to participate in the FREE ODSC Webinar “Putting Machine Learning Models into Production on MPP Platforms”! Machine learning has the potential to transform businesses due to its ability to deliver non-obvious, valuable insights from massive amounts of data. There are multiple programming languages and tools like Python and TensorFlow which are helping data scientists create ever sophisticated machine learning models. However, putting these models into production in hybrid architectures and multi cloud environments in the enterprise requires data science teams to handle major issues including scalability, speed and massive data movements between different platforms. While there are distributed analytics databases designed to specifically handle massive workloads with high concurrency, they usually have limited set of machine learning capabilities. What if there is a way to combine the power and flexibility of machine learning tools with the speed and scalability of the massively parallel processing analytical databases? In this talk, we will demonstrate how you can combine machine learning tools like Python and TensorFlow with a massively parallel processing analytics platform to fully leverage the potential of your big data, breaking free of common speed, security and deployment constraints by putting your models into production across hundreds of nodes in a cluster. Date: July 14 Time: 1 pm - 2 pm EDT To access this webinar, please register here: https://aiplus.odsc.com/courses/putting-machine-learning-models-into-production-on-mpp-platforms The webinar will be presented by Waqas Dhillon. Waqas is a Technical Product Manager for Machine Learning at Vertica. He drives the development of distributed in-database machine learning algorithms and the integrations with open source tools and platforms including Python and Tensorflow. He is passionate about the productization of machine learning models in enterprise environments. Previously, Waqas has worked with CPG and telecommunications companies in the use of big data analytics for consumer research and revenue growth. Use discount code - Meetup2020 - to get 10% off on your pass for Virtual Conference Europe and Virtual Conference West. ODSC Links: • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

APPLIED AI || AN ODSC FREE VIRTUAL EVENT

Online event

Register here: https://odsc.com/applied/ Pre-registration is REQUIRED. We’re thrilled to announce ODSC’s new virtual event, ODSC Applied AI, on July 15, 2020. hosted by ODSC, and sponsored by DataRobot, Appen, IBM Developer, and Red Hat. ODSC Applied AI is a one-day, free, virtual event featuring 90-minute hands-on workshops and tutorials that will help you strengthen existing–or build new–skills using real-world data. The event will be organized into four tracks based on job roles. And, each track is designed to teach you how to best utilize machine learning and AI in that role to meet your personal or business goals. - Data Scientist Track: Learn machine learning languages, frameworks, and tools from the experts - Software Engineers: Learn how to utilize machine learning, deep learning, and AutoML in your work - MLOps & DevOps Track: Learn how to manage, maintain, and scale AI models in production - Data Analyst Track: Learn how to successfully incorporate AI into your business and gain new insights The combination of live and on-demand format will ensure that you get the most out of your learning experience: get real-time feedback on your work during the live session or revisit topics with on-demand access for a limited time. You’d better hurry, though. There are only a limited number of spots available for the hands-on workshops in each track. So, if you want to improve your skills and use real-world data to better understand how to apply machine learning, deep learning, and AI in your work, sign up now for this free event. • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

LIVE TRAINING: Deep Learning (with TensorFlow 2 and PyTorch)

This is a PAID event. Registration is required: https://aiplus.odsc.com/courses/deep-learning-with-tensorflow-2-and-pytorch-1 Instructor's bio: Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the 2019 book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and the NYC Data Science Academy. Jon holds a PhD in neuroscience from Oxford and has been publishing on machine learning in leading academic journals since 2010; his papers have been cited over a thousand times. Abstract: To facilitate an intuitive understanding of deep learning’s artificial-neural-network foundations, the essential theory will be introduced visually and pragmatically. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python Jupyter notebooks, this foundational knowledge empowers you to build powerful state-of-the-art deep neural network models. Many resources will be provided for digging further into any deep learning-related topic that piques your interest. By taking this workshop, attendees will: - Understand the essential theory of artificial neural networks, including which deep learning approach is most appropriate for solving a given problem - Build production-ready deep neural networks with the NumPy-esque PyTorch library as well as with the heavyweight TensorFlow 2 library (by taking advantage of its in-built, easy-to-use Keras module) - Interpret the output of deep learning models to troubleshoot and improve results Pre-requisites: - All code demos during the training will be in Python, so experience with it or another object-oriented programming language would be helpful. - Some experience with machine learning would make this workshop easier to follow, but is by no means necessary. • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Live Training: NLP fundamentals

Online event

This is a PAID event. Registration is required: https://aiplus.odsc.com/courses/nlp-fundamentals Instructor's bio: Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sport world, with clients such as the New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as a Head of Data Scientist and Analytics in Badoo, the largest dating site with over 450 million users. He is also the lead instructor at ideai.io, a company specialized in Reinforcement Learning, Deep Learning and Machine Learning training. More details on the workshops can be found here. Abstract: Extracting knowledge from text data has always been one of the most researched topics in machine learning, but only recently we witnessed breakthroughs that put NLP on the spotlight. Many pieces of information are stored in unstructured data, like text, that is extremely important in many different fields, from finance to social media and e-commerce. In this course we will go through Natural Language Processing fundamentals, such as pre-processing techniques, tf-idf, embeddings, and more. It will be followed by practical coding examples, in python, to teach how to apply the theory to real use cases. The goal of this workshop is to provide the attendees all the basic tools and knowledge they need to solve real problems, and understand the most recent and advanced NLP topics. You will learn during the course: ● Understand NLP basics ● Create an NLP pipeline to preprocess the data using python ● Perform topic modeling ● Use python libraries for NLP tasks, in particular, NLTK, Gensim and Glove ● Leverage transfer learning and text embeddings to perform NLP classification Prerequisite: We will be using python in all exercises therefore some python knowledge is required. Some machine learning knowledge is beneficial but not required. We will introduce all the basic concepts needed but without spending much time on the most basic ML concepts. • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

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