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.
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Koenig Originals courses have been developed by Koenig to meet customer needs which are not met by standard vendor courses.
This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations
In this four-week 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, and classifications and more.
This course covers the fundamentals of machine learning principles and practices, with a practical focus. You will be introduced to the concept of Supervised and Unsupervised machine learning with the help of Python libraries such as scikit-learn and pandas.
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform and showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.
This 3-day instructor-led course provides you with the knowledge to understand the fundamentals of Data Science and Machine Learning, creating simple machine learning implementation in Cloud.
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