TRAINING & WORKSHOPS

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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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Track Spotlight

The Topic:

Practical Adversarial Learning: How to Evaluate, Test, and Build Better Models

In this training, Dr. Blaine Nelson will introduce you to the techniques that have been developed for constructing adversarial examples for a model, tools that can find potential vulnerabilities in them, and training procedures that can produce better models.

The Instructor:

Dr. Blaine Nelson earned his B.S. (University of South Carolina), M.S. and Ph.D (UC Berkeley) degrees in Computer Science. He was a Humboldt Postdoctoral Research Fellow at the University of Tübingen (2011-13) and a Postdoctoral Researcher at the University of Potsdam (2013-14) in Germany. As a graduate student and post-doc, Dr. Nelson co-established the foundations of adversarial machine learning. He has twice co-chaired the ACM CCS workshop on Artificial Intelligence & Security, and co-coordinated the Dagstuhl Perspectives Workshop on Machine Learning Methods for Computer Security (2012).

Check out the blog here

See 2022 Training Sessions

Previuos Workshops/Training Sessions

Practical Adversarial Learning: How to Evaluate, Test, and Build Better Models

Unifying ML With One Line of Code

Beyond the Basics: Data Visualization in Python

Chandra Khatri | Chief Scientist and Head of AI | Got It AI

Self-Supervised and Unsupervised Learning for Conversational AI and NLP

Getting Started With Quantum Bayesian Networks in Python and Qiskit

James Demmel, PhD | Professor of Mathematics and Computer Science | UC Berkeley | Yang You, PhD | Presidential Young Professor | National University of Singapore

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

Julien Simon | Chief Evangelist | Hugging Face

Hyper-productive NLP with Hugging Face Transformers

Corey Wade | Founder, Director | Author | Berkeley Coding Academy

Introduction to scikit-learn: Machine Learning in Python

Oliver Zeigermann | Head of Artificial Intelligence | OPEN KNOWLEDGE GmbH

Image Recognition with OpenCV and TensorFlow

Machine Learning with Python: A Hands-On Introduction

Enhance Trust with Machine Learning Model Error Analysis

Not Just Deep Fakes: Applications of Visual Generative Models in Pharma Manufacturing

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

NLP

  • 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

ADDITIONAL TUTORIALS & WORKSHOPS

  • 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.
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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).

LIVE TRAINING: JULY 26TH

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.

LIVE TRAINING: AUGUST 24ST

 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.

LIVE TRAINING CONTINUES:

 

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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Access to 40+ training sessions and 70+ workshops.

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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.

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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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