March 30th – April 1st, 2021

AI for Cybersecurity

Learn the essentials to become a skilled expert in Machine Learning for Cybersecurity

Leverage Your Programming Skills

Become a

Machine Learning Specialist in Cybersecurity

With the rapid growth of Artificial intelligence comes rising demand for Machine Learning specialists in Cybersecurity. To analyze massive amounts of data to detect and protect against the latest malware, ransom, trojan horses and other threats requires serious engineering. These projects of the future promise to be some of the most exciting and in demand jobs in software engineering today.


An ML specialist in Cybersecurity helps organizations evolve and transform their cybersecurity attitudes through intelligent code analysis, configuration analysis, and activity monitoring. At ODSC, build on your programming skills to implement cybersecurity solutions to protect organizations from existing cyber threats and identify new types of malware. You will learn from leading experts everything from data mining and organization to essential use of AI neural networks and automatic learning model recognition.

Some Current AI for Cybersecurity Speakers


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You Will Meet

  • Some of the world’s leading AI experts

  • Some of the best minds and authors behind today’s most popular AI platforms

  • Artificial Ingelligence and data science innovators

  • Data science & analytics specialists

  • Developers, engineers and programmers looking to build AI enabled software

  • Hundreds of attendees focused on AI engineering

  • CTOs and Chief Data Scientists from startups and Fortune 500 companies

  • Data scientists, data engineers, and AI platform experts

  • Peers from startups to Fortune 500 companies wrestling with large sets of consumer data

  • Representatives from Government agencies, universities, and other large institutions

What You'll Learn

Talks + Workshops + Special Events on these topics:

UpSkill Topics

  • Enhanced Machine Learning for Cybersecurity

  • Building a Holistic Risk Profile: Near Real-Time Approach to Insider Threat Detection

  • Linear Algebra, Calculus, and Probability: The Math ML Experts Master

  • Solving the Data Scientist’s Cold-Start Problem with Machine Learning Examples

  • Atypical Applications of Typical Machine Learning Algorithms

  • Introduction to Scikit-learn: Machine learning in Python

  • Intermediate Machine Learning with Scikit-learn: Cross-validation, Parameter Tuning, Pandas Interoperability, and Missing Values

  • Intermediate Machine Learning with Scikit-learn: Evaluation, Calibration, and Inspection

  • Advanced Machine Learning with Scikit-learn: Text Data, Imbalanced Data, and Poisson Regression

  • and more…

Languages & Frameworks

  • Tensorflow 2, PyTorch, Keras, Caffe 2.0, CNTK

  • Python scikit-learn, SciPy, Pandas, PyMC3,

  • R Programming, Keras, CARET

  • spaCy, AllenNLP, Stanford NLP

  • Spark, MLlib, Storm, Hadoop, Mahout

  • Kubernetes, Kafka, Zeppelin, Ignite

  • Apache Airflow, KubFlow, MLFlow

  • NLP Transformers, BERT, ULMFit, ElMo

  • Julia, Java, Jupyter Notebooks, NoSql, Neo4J

Why Attend?

Immerse yourself in talks and workshops on AI Engineering frameworks, topics, and languages

Learn about AI Engineering from leading AI experts who authored and built many of the platforms in use today

Network and connect with like-minded attendees to discover your next job, service, product or startup

Get speaker insights and training in AI frameworks such as TensorFlow, MXNet, PyTorch, Spark, Storm, Drill, Keras, and other AI platforms

ODSC EAST | March 30th – April 1st, 2021

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