The 55375AC: Fundamentals of Machine Learning certification provides validation for a comprehensive understanding of machine learning principles. It includes key areas such as algorithms, data models, statistics, data analysis, and prediction systems.
DurationThe 55375AC: Fundamentals of Machine Learning certification provides validation for a comprehensive understanding of machine learning principles. It includes key areas such as algorithms, data models, statistics, data analysis, and prediction systems.
As industries are increasingly relying on data-driven insights, this certification equips professionals to utilize advanced ML tools to generate valuable analytics. Industries can apply this knowledge to forecast future trends, improve decision-making, and automate tasks for greater efficiency.
The 55375AC certification demonstrates a holder's capability of integrating machine learning into business operations, thus gaining a competitive edge in the growing digital economy. However, the specific application and use vary according to the industry and function area.
Course Prerequisites
• Basic understanding of math concepts like statistics & probability
• Knowledge of Python programming language
• Familiarity with data analysis & manipulation using libraries such as Numpy and Pandas
• Experience with data visualization tools like Matplotlib/Seaborn
• Understanding of basic algorithm design.
Established in the year 1993, Koenig Solutions is a reputed IT training organisation that strives to make IT education readily available to the students and professionals.
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Koenig is known for the wide variety of courses that we offer.
Koenig Originals courses have been developed by Koenig to meet customer needs which are not met by standard vendor courses.
This programme empowers you with the skills and confidence to exploit opportunities and accelerate data-driven investing decisions. Through lectures, real-world case studies, discussions, and hands-on exercises you will gain insights into various real-world applications.
This two-day course focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™.
This course teaches you how to optimize the performance of predictive models beyond the basics by implementing various data munging and wrangling techniques.
In this advanced course, participants will learn specific concepts and advanced techniques of machine learning, such as Support Vector Machines, Random Forest, Boosting and Stacking, Cross Validation, Pipeline and many more.
Acquire essential knowledge on Artificial Intelligence, Machine Learning, and their impact on businesses.
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