Abstract

Take glimpse of what you could've learned during ODSC West 2020. This focus area is where leading experts in the rapidly expanding fields of Machine Learning gather to discuss the latest advances, trends, and models in this exciting field.


From the creators and top practitioners, some of the topics you’ll learn ranging from Reinforcement Learning, Probabilistic Programming and Bayesian Inference, Deep Learning and more!

Overview

  • 1

    Codeless Reinforcement Learning: Building a Gaming AI

    • Overview and Author Bio

    • Codeless Reinforcement Learning: Building a Gaming AI
  • 2

    Echo State Networks for Time-Series Data

    • Tutorial Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • Tutorial Slides

    • Echo State Networks for Time-Series Data
  • 3

    Probabilistic Programming and Bayesian Inference with Python

    • Training Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • Training Slides

    • Probabilistic Programming and Bayesian Inference with Python

  • 4

    Hands-on Reinforcement Learning with Ray RLlib

    • Training Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • Hands-on Reinforcement Learning with Ray RLlib
  • 5

    The Fundamentals of Statistical Time Series Forecasting

    • Workshop Overview and Author Bio

    • The Fundamentals of Statistical Time Series Forecasting
  • 6

    Intelligibility Throughout the Machine Learning Life Cycle

    • Overview and Author Bio

    • Intelligibility Throughout the Machine Learning Life Cycle
  • 7

    Beyond OCR: Using Deep Learning to Understand Documents

    • Overview and Author Bio

    • Beyond OCR: Using Deep Learning to Understand Documents
  • 8

    Bayesian Statistics Made Simple

    • Workshop Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • BayesMadeSimple Code

    • Worksop Slides

    • Bayesian Statistics Made Simple
  • 9

    Introduction to Generative Modeling Using Quantum Machine Learning

    • Training Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • Introduction to Generative Modeling Using Quantum Machine Learning
  • 10

    GPU-accelerated Data Science with RAPIDS

    • Workshop Overview and Author Bio

    • Before you get started: Prerequisites and Resources

    • GPU-accelerated Data Science with RAPIDS
  • 11

    Building a ML Serving Platform at Scale for Natural Language Processing

    • Workshop Overview and Author Bio

    • Goals and Session Agenda

    • An AI Architecture Framework & Contact Centers

    • Real-time Publishing & Stream Processing

    • Streaming NLP and NLU, and Orchestration
  • 12

    Uncertainty Sampling and Diversity Sampling

    • Workshop Overview and Author Bio

    • Getting Started

    • Active Transfer Learning Cheatsheet - Slides

    • Active Learning Methods & Uncertainty Sampling

    • Diversity Sampling

    • Active Transfer Learning for Adaptive Sampling (ATLAS)

INTERESTED IN HANDS-ON TRAINING SESSIONS?

Start your 7-days trial. Cancel anytime.

VIEW PLANS