Romeo Kienzler

Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering, Database Administration and Information Integration. Since 2012 he works as a Data Scientist for IBM. He published several works in the field with international publishers and on conferences. His current research focus is on massive parallel data processing architectures. Romeo also contributes to various open source projects.

Filter Courses within "Romeo Kienzler" (Click to filter)
Scalable Machine Learning on Big Data using Apache Spark (Coursera) Coursera
IBM

Scalable Machine Learning on Big Data using Apache Spark (Coursera)

Dive into the world of scalable machine learning with our expert-led course. Learn how to harness the full potential of Big Data using Apache Spark, a powerful open-source framework that allows you to handle massive data sets effectively and cost-efficiently. Perfect for aspiring and professional data scientists looking to expand their expertise in processing large datasets.

Aug 31st 2026
4 Weeks
Apache Spark for Data Engineering and Machine Learning (edX) EdX
IBM

Apache Spark for Data Engineering and Machine Learning (edX)

Dive into the world of big data processing and machine learning with our introductory course on Apache Spark. Whether you're new to data engineering or looking to enhance your ML skills, this course provides a hands-on approach to understanding and applying Spark's powerful capabilities in Structured Streaming, Extract-Transform-Load (ETL) processes for Machine Learning pipelines, and Spark ML techniques.

Self Paced
Self-Paced
Building Deep Learning Models with TensorFlow (Coursera) Coursera
IBM

Building Deep Learning Models with TensorFlow (Coursera)

Discover how to harness the power of deep learning with TensorFlow in this comprehensive online course. Learn to build sophisticated neural networks capable of uncovering hidden patterns within unstructured and unlabeled data, such as images, sound, and text. Apply these advanced techniques to tackle complex real-world challenges.

Jul 6th 2026
5-12 Weeks
Applied AI with DeepLearning (Coursera) Coursera
IBM

Applied AI with DeepLearning (Coursera)

Dive into the world of Applied Artificial Intelligence with this comprehensive course from Coursera. Learn how to apply Deep Learning models to various fields such as Natural Language Processing, Computer Vision, and Time Series Analysis. This course is part of IBM's Advanced Data Science Certificate program and will teach you the fundamentals of Linear Algebra and Neural Networks.

Aug 19th 2024
4 Weeks
Fundamentals of Scalable Data Science (Coursera) Coursera
IBM

Fundamentals of Scalable Data Science (Coursera)

Discover the essential skills needed to harness the power of Apache Spark for scalable data science projects using Python and PySpark. Ideal for beginners looking to dive into large scale data processing, this course is part of a comprehensive specialization designed by IBM that emphasizes tackling the limitations of memory and CPU in advanced machine learning models.

Aug 12th 2024
4 Weeks
Advanced Machine Learning and Signal Processing (Coursera) Coursera
IBM

Advanced Machine Learning and Signal Processing (Coursera)

Dive into the world of advanced data science with 'Advanced Machine Learning and Signal Processing'. This course, offered by Coursera as part of IBM’s Advanced Data Science Specialization, provides a deep dive into machine learning models that are essential for tackling sophisticated challenges across numerous disciplines. From understanding linear algebra to applying supervised and unsupervised learning techniques, this course equips you with the skills needed to harness the potential of data.

Aug 12th 2024
4 Weeks
Advanced Data Science Capstone (Coursera) Coursera
IBM

Advanced Data Science Capstone (Coursera)

Embark on a journey to become an expert in advanced data science with our capstone project course. Dive into the world of massive parallel data processing, explore and visualize data like never before, master complex algorithms through machine learning and deep learning, and apply these skills to solve real-world problems. This course is designed for those who want to take their data science expertise to the next level.

Aug 12th 2024
4 Weeks
Page 1 Next ›