Machine learning has been around for decades, but its usage was limited to specialized applications such as Optical Character Recognition (OCR) due to constraints in computing resources.
Machine learning has been around for decades, but its usage was limited to specialized applications such as Optical Character Recognition (OCR) due to constraints in computing resources.
With advancements in computing and communication technology, powerful computing resources are becoming more affordable, and it is becoming possible to implement and use machine learning to solve complex problems in various application domains effectively. Whether you are in healthcare, banking, or manufacturing domains, machine learning may suit your needs.
This course assumes you know close to nothing about Machine Learning. You will learn the concepts and tools needed to implement programs that learn from data by using production-ready Python frameworks.
The course comprises of two parts: 1) Fundamentals of Machine Learning and 2) Building and implementing machine learning models with Jupyter Notebook. The first part introduces the types of machine learning techniques, the typical workflow of a machine learning project, and going through an example project using some datasets.
The second part covers the basics of Jupyter Notebook, implementation of the Machine Learning Models in both non-distributed and distributed computing environment. At the end of the course, you will have the ability to utilize machine learning models to solve some real problems.?
Objectives:
Upon completion of this course, participants will be able to:
The Centre for Advanced and Professional Education or CAPE UTP was established in May 2016 to provide flexible post-bachelor degree opportunities by developing sustainable programmes and modules of professional short courses.
CAPE aims to be the sought after partner to the industry by providing a platform for flexible learning to diverse learners and access to the Universiti Teknologi PETRONAS’s intellectual resources.
This is an introductory programme on machine learning using scikit-learn and scipy for structured data, and common text processing methods. It has been designed for participants who aim to understand the possible applications of these techniques in their respective organisations.
Maintenance & Inspection of Machinery Equipment Training is offered by Eversafe Universal Sdn. Bhd. To provide the best available service, create a long-lasting relationship with all its clients, and assist them in meeting all the essential changes needed.
Machine Learning is the science of getting computing systems to act with minimal human Intervention. Such systems change behaviors without being explicitly programmed. It is nothing but automation of Feature Engineering.
Machine Learning course will give you overview of machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming.
Machine Learning with Apache Spark training is offered by Training Minds Sdn Bhd. Training Minds Sdn Bhd is a fast growing private limited company based in Malaysia, with a focus on providing training and development services to individuals and organizations.
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