Data Science and Machine Learning

Data Science and Machine Learning

The Hellenic American Lifelong Learning Center in cooperation with Ismion Inc. offers a new series of courses and workshops on data science and machine learning, two specializations of computer science that have gained great popularity over the last few years. Data science includes Big Data, the hottest trend in the tech industry now and machine learning is ubiquitous: underlies stock trading bots, Google’s search results and recommendations, autonomous cars, digital assistants like Cortana and Siri and Amazon’s cashier-free stores. It is also used successfully in CRM for automated customer segmentation and for generating effective acquisition and retention campaigns.


About MLTrain

MLTrain™ is an educational endeavor of "Ismion Inc." focusing on machine-learning-in-practice by leveraging the content of recent academic research to meet the needs of industrial applications. MLTrain offers courses at different levels of detail, focusing on varying audiences, from developers to business analysts and executives. It is our tenet that effective machine learning is done by understanding the potential, the effects and the practical implications of state-of-the art algorithms, and implement them using toolsets that are open and adopted by industry giants like Google and Amazon.

MLTrain is based in Atlanta US and offers its services worldwide with a recent record of courses and workshops in the US, Australia and South Africa.

Data Science and Machine Learning download flyer  Download brochure in PDF format (Greek)

Courses - Workshops

  • Python for Big Data Analytics and Machine Learning 101
    Learn the fundamentals of data science with Python, whether working on your laptop or a big data cluster, using numpy, pandas and pySpark. Communicate your analyses using informative graphics from matplotlib and seaborn. Configure, train and assess machine learning models with scikit-learn.
  • Deep learning with Tensorflow
    Learn how to develop and deploy neural networks to production using Google's open-source machine learning API for big data clusters.

Course Instructors

MLtrainChristos Malliopoulos holds a Diploma in Electrical and Computer Engineering, an MSc (summa cum laude) in Probability and Statistics and a PhD (summa cum laude) in signal processing and machine learning, all from the National Technical University of Athens. He has worked as a research scientist at the “Institute for Language and Speech Processing” of “Athena research center” and, as BI specialist and later as the manager of the BI department of OTE/COSMOTE group, Greece's largest telecom operator, a subsidiary of Deutsche Telekom AG.

As BI manager, he had the technical lead in the setup of Deutsche Telekom’s European big data center. He has been a data science consulting contractor of Logicblox Inc. Currently he holds a contract with Infor Inc. focusing on declarative numerical optimization frameworks and in-database machine learning.

Nikolaos VasiloglouNikolaos Vasiloglou holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens and a PhD from the department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis was focused on salable machine learning over massive datasets.

After graduating from Georgia Tech he founded Analytics1305 LLC and Ismion Inc. He has architected and developed the PaperBoat machine learning library which has been successfully integrated and used in the LogicBlox and HPCCSystems platforms.

Currently, he works as a machine learning consultant for Symantec and Infor focusing on Google's TensorFlow and has been active in developing the syllabus for a series of TensorFlow training events. His work has resulted in patents and production systems.