With ODSC West 2022 less than two months away, we are hard at work on building a lineup of training sessions and workshops on the tools, frameworks, and languages that you need to succeed in your data science career. Below are just a few of the hands-on training sessions you can expect to see at the conference this fall!
Machine Learning with Python: A Hands-On Introduction
Clinton Brownley, PhD | Data Scientist | Meta
This hands-on workshop will equip you with the skills you need to preprocess data, build and cross-validate predictive models, and make predictions in Python, one of the most powerful programming languages available. You’ll also learn how to utilize a range of parametric and non-parametric models for classification.
Beyond the Basics: Data Visualization in Python
Stefanie Molin | Data Scientist, Software Engineer | Bloomberg | Author of Hands-On Data Analysis with Pandas
This session will address how to use Python to create engaging data visualizations that effectively communicate insights to stakeholders in other departments. You’ll explore the capabilities of Matplotlib and HoloViz in creating customized, and in some cases interactive, visualizations.
Anomaly Detection with Python and R
Aric LaBarr, PhD | Associate Professor of Analytics | Institute for Advanced Analytics at NC State University
To ensure the integrity of your analysis and decision-making process, it’s essential to monitor for and detect anomalies in your data. During this session, you’ll explore anomaly detection through the lens of fraud, as well as examine some ML-based techniques that are applicable to almost any industry.
Image Recognition with OpenCV and TensorFlow
Oliver Zeigermann |Head of Artificial Intelligence | OPEN KNOWLEDGE GmbH
During this session, you will explore both classic image processing using OpenCV and machine learning pattern matching using TensorFlow’s Keras API. Through hands-on exercises, you’ll learn how to extract objects and remove noise with OpenCV and then how to use those objects to generalize unseen objects with TensorFlow.
Democratizing Distributed Compute and Machine Learning: A Tour of Three Frameworks
Adam Breindel | Independent Consultant
During this session, you’ll examine the strengths, weaknesses, and patterns of three open-source tools, Apache Spark, Ray, and Dask, for data analysis. Through hands-on coding, you’ll get a sense of how each of these tools work, their advantages and disadvantages, and which one might be right for your organization.
Building a Semantic Search Engine
Nidhin Pattaniyil | Machine Learning Engineer | Walmart
During this session, you’ll explore how state-of-the-art techniques are using embedding for retrieval, instead of tf-idf and BM25. Over the course of 4 sections, you’ll learn how to create a production information retrieval system that relies on embeddings and vector similarity.
Leonardo De Marchi | Head of Data Science and Analytics | Badoo (now MagicLab, which owns several apps)
Join this session to build an understanding of the fundamentals of NLP from Leonardo De Marchi, an acclaimed data science instructor, practitioner, and entrepreneur. In addition to his long and varied career working in the professional sports, social media, and education industries, Leonardo De Marchi, is also the author of Hands-On Deep Learning.
Deep Learning with Python and Keras (TensorFlow 2)
Amita Kapoor, PhD | Artificial Intelligence and Data Analytics Expert, Educator, Author, Expert in Remote Team Management | Neuromatch Academy
This session is designed to give you a comprehensive look at the Keras API and the TensorFlow 2.0 ecosystem. At the end of this training, you’ll have an understanding of TensorFlow 2.0 features such as tf.Datasets, Autograph, eager computation, and more.
Register for ODSC West 2022 here.
For even more information on our confirmed sessions and speakers, check out the ODSC West 2022 preliminary schedule here. And be sure to get your ODSC West in-person or virtual pass soon, our limited-time offer of 40% off ends soon!