Miner & Kasch is providing two introductory courses. The classes are a mix of expert-led instruction and hands-on lab exercises.
12/13/2016- Introduction to Machine Learning: This course focuses on a practical approach to machine learning to effectively make predictions from data. In this class you will learn to load and analyze your data with Pandas (a data analysis library), build visualizations with pyplot, and create predictive models using scikit-learn (a machine learning library).
12/14/2016- Introduction to Applied Deep Learning: This course provides an introduction to deep learning with a focuses on practical applications, such as image and text analysis. The course will cover the intuition and theory behind what makes deep learning so successful in a succinct way. Participants will be introduced to deep learning and quickly gain experience applying it to real problems
Each course is $475. If registering for both courses, use discount code BOTH to receive 50% off the Deep Learning (12/14) course.
If you would like to get more information on the classes or have any questions, please email us at email@example.com.
About the Instructors:
Donald Miner is founder of the data science firm Miner & Kasch and specializes in large-scale data analysis enterprise architecture and applying machine learning to real-world problems. Donald is author of the O’Reilly book "MapReduce Design Patterns", and the O’Reilly reports “Hadoop with Python” and “What You Need To Know About Hadoop". He has architected and implemented dozens of mission-critical and large-scale data analysis systems within the U.S. Government and Fortune 500 companies. He has applied machine learning techniques to analyze data across several verticals, including financial, retail, telecommunications, healthcare, government intelligence, and entertainment. He lives in Maryland with his wife and three young sons.
Florian Muellerklein is a data scientist at Miner & Kasch and specializes in solutions which rely on deep learning. He has implemented artificial intelligence solutions for a variety of problems including domain specific language models and semantic document search, as well as state of the art computer vision solutions.
Florian is a frequent competitor on Kaggle, a popular data science and machine learning competition website. As a master tier competitor he is ranked in the top 1% of all users sitewide. He has top finishes in competitions in: image classification, object localization, natural language processing, electroencephalogram recordings, and magnetic resonance imaging data.