Tag: algorithms

PyData – Seattle

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2017 Event: July 5th – 7th From PyData Seattle:  “PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with tutorials for … Continue Reading

PyCon.DE

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2017 Event: October 25-27 – Karlsruhe, Germany From PyCon.DE: “Hosted in Germany and held in the English language, the conference welcomes all Python professionals and enthusiasts whether near or far. PyCon.DE is where Pythonistas in Germany can meet to learn about new and upcoming Python libraries, tools, software and data science. We welcome Python enthusiasts, programmers and data scientists from around the world…”  

EuroPython

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2017 Event: July 9 -16 – Rimini, Italy EuroPython is the largest Python conference in Europe. Follow EuroPython‘s blog to stay up-to-date on upcoming events! EuroPython 2017 Live Streams

The R-Podcast

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“R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS … Continue Reading

The Open Source Data Science Masters

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“The open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary for making use of data. The Internet is Your Oyster. With Coursera, ebooks, Stack Overflow, and GitHub — all free and open — how can you afford not to take advantage of an open source education?” This program consists of a list of courses and resources. The curriculum covers: … Continue Reading

Gaming Analytics Summit

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Previous Event: April 26-27, 2017 – San Francisco, CA From Innovation Enterprise: The Gaming Analytics Innovation Summit provides a platform for leading executives to share unique insight into the innovations that are driving success in the World’s most successful AAA and indie organisations.  2017 Speakers 2017 Schedule

Data Intelligence Conference

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Use Promo Code FRIENDSANDFAMILY30  for 30% off your registration fee! Next Event: June 23-25, 2017 – McLean, Va     Friday June 23: 12pm-6pm     Saturday June 24: 10am-6pm     Sunday June 25: 10am-3pm See full schedule From Data Intelligence: “This event aims to bring machine learning engineers and researchers together to share ideas and projects amongst both academic and professional practitioners in the field.” 2017 Speakers

IEEE International Conference on Data Mining

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Next Event: November 18-21, 2017 – New Orleans, LA From ICDM: “The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications.”

The Data Science Conference

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2017 Events: April 20-21, 2017 – Chicago, IL  September 20-21, 2017 – Seattle, WA From The Data Science Conference: “Vendor-free, Sponsor-free, Recruiter-free” “We have created a conference where the material presented and discussed is substantial and relevant to the data science practitioner; participants don’t use the conference to do business, but interact as scientists; attendees are treated with decency, dignity, and respect. This is a conference, not an Expo.” Fall 2017 Speaker List … Continue Reading

DataQuest – Advanced Python and Computer Science

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This is step 7 of 11 in the DataQuest Data Scientist Path. “Learn advanced Python and Computer Science techniques.” This step’s curriculum includes: Data Structures and Algorithms Memory and Unicode Algorithms Binary Search Data Structures Recursion and Advanced Data Structures Guided Project Python Programming: Advanced Object-Oriented Programming Exception Handling Lambda Functions Introduction to Computer Architecture Parallel Processing