Fortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.
DurationFortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.
This hands-on machine learning course advances your data analysis skills into the realm of real-world data science. If you have a working familiarity with R, our three-day class equips you to go back to work with real-world predictive modeling and basic machine learning techniques.
You will work in R to lay your data science foundation and learn techniques that allow you to leverage your data in sophisticated, powerful new ways.
For a detailed course outline, please email or call us.
Audience
Intermediate-level data analysts are interested in expanding their data mining processes. We emphasize data foundation and machine learning concepts.
Established in 2004, headquartered in Toronto, Ontario, Canada, ACRA has helped thousands of learners in all areas of IT every year.
Our delivery platform included instructor-led, virtual, and e-learning. We offer open enrollment into public offerings, on-site custom course development, and tailoring of existing courseware.
Our curriculum is also endorsed by the Project Management Institute, the International Institute for Business Analysis, and aligned with the ScrumAlliance, SAFe, and Scrum.org certifications.
This course gives you the opportunity to develop a broad understanding of machine learning, with no technical coding or programming knowledge required.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this eme...
In this course, you will dive into the basics of machine learning using Python, a well-known programming language. Get introduced to data exploration and discover the various machine learning approaches like supervised and unsupervised learning, regression, classifications, and more.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
This program will enable students to further their education in computer science by specializing in problem-solving and data management in an artificial intelligence environment, particularly in machine learning.
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