Who Should Watch: If predictive modeling and analytics would be valuable in your work, come to the webinar to find out what all the fuss is about and what there is to know. Whether you are looking to get started with machine learning, interested in refining your machine learning skills, or want to transfer your skills from another toolset to Python, come to the webinar to find out if Enthought’s highly interactive, expertly taught Machine Learning Mastery Workshop might be a good fit for accelerating your development!Continue reading →
What: A guided walkthrough and Q&A about Enthought’s technical training course Python for Scientists & Engineers with Enthought’s VP of Training Solutions, Dr. Michael Connell
Who Should Watch: individuals, team leaders, and learning & development coordinators who are looking to better understand the options to increase professional capabilities in Python for scientific and engineering applications.
Who Should Watch: individuals, team leaders, and learning & development coordinators who are looking to better understand the options to increase professional capabilities in Python for data science and machine learning applications
Enthought’s Python for Data Science training course is designed to accelerate the development of skill and confidence in using Python’s core data science tools — including the standard Python language, the fast array programming package NumPy, and the Pandas data analysis package, as well as tools for database access (DBAPI2, SQLAlchemy), machine learning (scikit-learn), and visual exploration (Matplotlib, Seaborn).
Geoscientists and petroleum engineers rely on accurate core measurements to characterize reservoirs, develop drilling plans and de-risk play assessments. Whole-core CT scans are now routinely performed on extracted well cores, however the data produced from these scans are difficult to visualize and integrate with other measurements.
Virtual Core automates aspects of core description for geologists, drastically reducing the time and effort required for core description, and its unified visualization interface displays cleansed whole-core CT data alongside core photographs and well logs. It provides tools for geoscientists to analyze core data and extract features from sub-millimeter scale to the entire core.
In this webinar and demo, we’ll start by introducing the Clear Core processing pipeline, which automatically removes unwanted artifacts (such as tubing) from the CT image. We’ll then show how the machine learning capabilities in Virtual Core can be used to describe the core, extracting features such as bedding planes and dip angle. Finally, we’ll show how the data can be viewed and analyzed alongside other core data, such as photographs, wellbore images, well logs, plug measurements, and more.
What You’ll Learn:
How core CT data, photographs, well logs, borehole images, and more can be integrated into a digital core workshop
How digital core data can shorten core description timelines and deliver business results faster
How new features can be extracted from digital core data using artificial intelligence
Novel workflows that leverage these features, such as identifying parasequences and strategies for determining net pay
Engineers and scientists all over the world are using Python and LabVIEW to solve hard problems in manufacturing and test automation, by taking advantage of the vast ecosystem of Python software. But going from an engineer’s proof-of-concept to a stable, production-ready version of Python, smoothly integrated with LabVIEW, has long been elusive.
In this on-demand webinar and demo, we take a LabVIEW data acquisition app and extend it with Python’s machine learning capabilities, to automatically detect and classify equipment vibration. Using a modern Python platform and the Python Integration Toolkit for LabVIEW, we show how easy and fast it is to install heavy-hitting Python analysis libraries, take advantage of them from live LabVIEW code, and finally deploy the entire solution, Python included, using LabVIEW Application Builder.
In this webinar, you’ll see how easy it is to solve an engineering problem by using LabVIEW and Python together.
What: Presentation and Q&A with Dr. Michael Connell, VP, Enthought Training Solutions Who Should Watch: Anyone who wants to develop proficiency in Python for scientific, engineering, analytic, quantitative, or data science applications, including team leaders considering Python training for a group, learning and development coordinators supporting technical teams, or individuals who want to develop their Python skills for professional applications
Enthought’s Pandas Mastery Workshop is designed to accelerate the development of skill and confidence with Python’s Pandas data analysis package — in just three days, you’ll look like an old pro! This course was created ground up by our training experts based on insights from the science of human learning, as well as what we’ve learned from over a decade of extensive practical experience of teaching thousands of scientists, engineers, and analysts to use Python effectively in their everyday work.
In this webinar, we’ll give you the key information and insight you need to evaluate whether the Pandas Mastery Workshop is the right solution to advance your data analysis skills in Python, including:
Who will benefit most from the course
A guided tour through the course topics
What skills you’ll take away from the course, how the instructional design supports that
What the experience is like, and why it is different from other training alternatives (with a sneak peek at actual course materials)
What previous workshop attendees say about the course