Learn the latest data science concepts, tools, and techniques from the best. Forge a connection with these rockstars from industry and academia, who are passionate about molding the next generation of data scientists.

Machine Learning Deep Dive

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Taught By World-Class Data Science Experts

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Track Spotlight

The Topic:

Building a GPT-3 Powered Knowledge Base Bot for Discord

Learn how to build a simple Discord bot that leverages GPT-3 to answer user questions. Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans.

The Instructor:

Steve is the author of the book Exploring GPT-3 from Packt Publishing and the managing director of Dabble Lab, a technology education and services company that helps businesses accelerate learning and adoption of artificial intelligence, blockchain, and other emerging technologies. Steve has been designing and building automation solutions for over 20 years and has consulted on AI and automation projects for companies including Amazon, Google, and Twilio.

Check out the blog here

See Past Training Sessions

Past Confirmed Workshops/Training Sessions

Tuning Hyperparameters with Reproducible Experiments 

GANs: Theory and Practice, Image Synthesis With GANs Using TensorFlow

Build a Question Answering System using DistilBERT in Python

A Complete Real-Time Data Application in 90 Minutes: from Kafka to Streamlit

Sound Classification and Detection with STFT and CNNs

Jennifer Dawn Davis, PhD and Andrea Lowe, PhD | Staff Field Data Scientist and Training & Enablement Engineer | Domino Data Labs

Practical Reinforcement Learning for Data Scientists

Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline

How to Optimize using Uplift Predictive Models and Uplift Prescriptive Analytics

Kai-Wei Chang | Director, Assistant Professor | UCLA NLP, UCLA CS

Transferable Representation Learning in NLP

Hannes Hapke | Machine Learning | Digits

Unstructured Text with Transformers

Filipa Peleja, PhD | Lead Data Scientist | Levi Strauss & Co

MLOps (Machine Learning Operations) From Model to Production

Kumaran Ponnambalam | Big Data, Data Science & Analytics Leader | Cisco

Building a ML Serving Platform at Scale for Natural Language Processing

Operationalization of Models Developed and Deployed in Heterogeneous Platforms

Deep Dive into Reinforcement Learning with PPO using TF-Agents & TensorFlow 2.0

Get Started with Time-Series Forecasting using the Google Cloud AI Platform

Digital Forensics and Incident Response

Machine Learning

  • Meta-learning for Machine Learning

  • Self Supervised learning; new techniques

  • Federated Learning for Data Privacy

  • Explainable AI and Bias in machine learning

  • Machine Learning at Scale using Apache Spark

  • Safety & Robustness in Machine Learning Modeling

  • Semi-supervised learning

  • Causal Inference with Machine Learning

Deep Learning

  • Deep Reinforcement learning

  • Deep Learning with PyTorch & Tensorflow

  • Deep Learning Deep Dive

  • Computer Vision 1/2 Day Training

  • Deep Learning with Keras

  • Introduction to Deep learning

  • Deepfakes Tutorial

  • Graph Representation Learning


  • Self Supervised learning; new techniques

  • Transfer Learning in NLP

  • Introduction to NLP and Topic Modeling

  • NLP Pre-trained Transformer Models with Bert, Ernie,, and GPT-2

  • State-of-the-Art NLP with PyTorch and Tensorflow

  • Semi-supervised learning

  • Hugging Face Transformer Library Workshop

  • Applications of NLP; Sentiment Analysis, Dialog Systems, and Semantic Search


  • Machine Learning for Cyber Security

  • Real-time Streaming Analytics

  • MLOps and Machine Learning Pipelines

  • Introduction to Machine Learning Using scikit-learn

  • Auto Machine Learning (AutoML)

  • Distributed Machine Learning

  • Introduction to Data Analysis with Python Pandas

  • Machine Learning Workflow with Kubeflow & Kubernetes

Training & Workshop Sessions

– Taught by World-Class Data Scientists –

Learn the latest data science concepts, tools, and techniques from the best. Forge a connection with these rock stars from industry and academia, who are passionate about molding the next generation of data scientists.
Register now | 20% ends soon

Pre-Conference LIVE Trainings

Join ONE of our Ai+ Live Training Sessions for free when you purchase an ODSC West In-Person, or Virtual Training Pass ( VIP, Platinum Gold, or Bootcamp).


Data wrangling is an essential foundational topic for anyone considering projects or a role in data engineering, data science, or machine learning. This session will help one understand core data-wrangling concepts including what is data, data generation and collecting, data profiling, data transformation, data manipulation, and other essential workflow topics.  We will layer on SQL and an introduction to relational databases. With this foundational understanding, you will not only have job-ready data skills but you will be better position to proceed to other introductory-level courses in data analysis, programming, data science, and machine learning.


 Learn the basics of building a PyTorch model using a structured, incremental, and from first principles approach. Find out why PyTorch is the fastest growing Deep Learning framework and how to make use of its capabilities: autograd, dynamic computation graph, model classes, data loaders and more. The main goal of this training is to show you how PyTorch works: we will start with a simple and familiar example in Numpy and “torch” it! At the end of it, you should be able to understand PyTorch’s key components and how to assemble them together into a working model.



We will be hosting additional live training session during the months of September, October, and November

Ai+ is the only hands-on training platform solely developed for AI practitioners. Keep training with the top names in the industry. Free for 6 months with an ODSC West Platinum pass.

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ODSC Training Includes

Opportunities to form working relationships with some of the world’s top data scientists.

Access to 40+ training sessions and 70+ workshops.

Hands-on experience with the latest frameworks and breakthroughs in data science.

Affordable training–equivalent training at other conferences costs much more.

Professionally prepared learning materials, custom- tailored to each course.

Opportunities to connect with other ambitious, like-minded data scientists.

Highly Experienced Instructors

Our instructors are highly regarded in in data science and come from both industry and academia.

Real World Applications

Get the data science skills and knowledge that will help you in your career or business.

Cutting Edge Subject Matter

Find training sessions offered on a wide variety of data science topics, from machine learning to data visualization.

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As part of the global data science community we value inclusivity, diversity,  and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conductspeaker submissions, or speaker committee pages.

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