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Conferences, Training and Webcasts

Resources for learning and getting started and learning about AI.
Learn about AI Read about Machine Learning Learn about Leveraging Data Science in PDU

1 - Conferences, Training and Webcasts

Conferences related to data science and A.I.

Conference Series

Predictive Analytics World The “premier machine learning conference.” Tracks in industry, deep learning, business, and more. Includes speakers, workshops, and networking opportunities.

Machine Learning and Data Mining (MLDM) Brings together researchers on machine learning and data mining. Conference includes talks, workshops, tutorials and exhibition.

AI & Big Data Expo Expo showcases next gen technologies and strategies from AI and big data. Tracks include Enterprise AI & Digital Transformation, Data Analytics for AI & IoT, Big Data Strategies and more.

2 - Explorable Explanations

Here are some of the best examples curated by EPRI colleague, Michael O’Connor

Explorable Explanations - Examples and Resources

Michael O' Connor

Explorable Explanations project (Bret Victor’s brainchild) description. http://worrydream.com/ExplorableExplanations/.

There are several really good videos on YouTube and other media sites of Bret Victor giving presentations on this topic.

One of my favorites is his presentation on Media for Thinking the Unthinkable (https://vimeo.com/67076984).

Algorithms relating to sorting, sampling, and graphs (AMAZING)

Fully Interactive and Dynamic Linear Algebra textbook

Have you ever wanted to see an algorithm’s code run? It’s cooler than you would expect.

Added Bonus: Not only does it have an impressive collection of pre-built algorithms to choose from, but it also allows you to input your own code!

Machine Learning Algorithms

Momentum and Gradient Descent

Nearly all of Digital Signal Processing using Fourier Transforms explained visually

Neural Networks

Powerful Math algorithms explained visually (Regression, Eigenvectors, Markov Chains, Probability, etc.)

Probability and Statistics (2017 Kantar Information is Beautiful Winner)

The full data science workflow that is embedded in StitchFix’s business process (really cool)

3 - Training

Training

Massive Open Online Courses

Coursera, Udacity, and codeacademy are good start points.

Datacamp is an example of an interactive web environment with lots of lessons for non-programmers to get started without ever speaking one of the languages.

Data Science Central is a good resource for staying at forefront of industry trends in data science.

Kaggle hosts data science competitions to practice, hone in skills with messy, real world data, and tackle actual business problems. Employers take Kaggle rankings seriously, participation is seen as relevant, hands-on project work.

Certifications

KDnuggets has compiled an extensive list.

Cheat Sheets

[http://www.kdnuggets.com/2015/07/good-data-science-machine-learning-cheat-sheets.html]

Free Data Science Education

Data Science CheatSheets are there to help.