NVIDIA and Mark III Systems will be hosting an AI/Machine Learning Educational Series for _____________.  This bi-weekly education series is 100% virtual and will include both tutorials and virtual "rapid labs" for attendees delivered via Jupyter Notebook.  There will be a series of sessions that will feature industry experts in Machine Learning, who will dive into current trends around AI/ML.  We hope you can join us!  **All dates below are SAMPLE dates**

AI/ML Education Series:

Wednesday, Feb 2nd (11am-12pm ET)

**SAMPLE DATES below**

Introduction to Machine Learning and AI:  What is it and why we do we need it?

Speaker: Data Scientist, Mark III

In this session, we’ll cover the basics around what Machine Learning is, look at the different ML techniques and methods, examine what a typical ML project lifecycle looks like, and discuss some of the most commonly used example algorithms.

This session will also include a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use an example dataset from Kaggle and take it through the steps of training and evaluating a model to make predictions using ML.

 

Wednesday, Feb 16th (11am-12pm ET)

Intro to Deep Learning: An Introduction to Neural Networks

Speaker: Data Scientist, Mark III

In this session, we'll cover the basics around what Deep Learning is, look at how it fits within the AI/ML universe, dive into neural networks (including CNNs, LSTMs, and GANs), and walk through a typical Deep Learning project lifecycle.  

We'll cap the session with a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use an example dataset (CIFAR-10) to train and evaluate a neural network model using Keras.

 

Wednesday, March 2nd (11am-12pm ET) 

Introduction to Datasets

Speaker: Data Scientist, Mark III

In this session, we'll cover what datasets for Machine Learning and Deep Learning projects look like and how to find them.

This will include highlighting some of the most popular datasets in the community today as well as good sources to download these datasets from.

Some brief tips and tricks for cleaning up datasets will be covered and we'll conclude the session with a mini-workshop and lab showing how to import and interact with datasets in a Jupyter Notebook.

 

Wednesday, March 16th (11am-12pm ET)

Introduction to Computer Vision

Speaker: Data Scientist, Mark III

In this session, we'll cover the basics around what computer vision is, how it works (classification, object detection, segmentation), some of the popular frameworks and models used today, and what some of the practical applications might be in research and industry.  We'll also walk through what a typical Computer Vision project lifecycle might look like.

We'll cap the session with a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use code examples to build a CNN image classifier as well as using pretrained model libraries for object detection and image segmentation.

 

Wednesday, March 30th (11am-12pm ET) 

NVIDIA NGC Catalog & Containers

Speaker: Solutions Architect, NVIDIA

The NGC catalog is the hub for GPU-optimized software for deep learning (DL), machine learning (ML), and high-performance computing (HPC) that accelerates deployment to development workflows so data scientists, developers, and researchers can focus on building models, pipelines, and their research.