Machine Learning involves using algorithms to build a good and useful approximation to data and then decide or predict. However, machine learning can be very complex and most people need to be trained to program or have the time to do so.
Machine Learning involves using algorithms to build a good and useful approximation to data and then decide or predict. However, machine learning can be very complex and most people need to be trained to program or have the time to do so.
In this course, participants will be introduced to some basic programming concepts in Python and will have handson training exploring various machine learning algorithms with Orange.
A premier institution of higher learning in Malaysia. Providing quality tertiary education and opportunities beyond academic knowledge and skills since 1969.
Machine Learning & Deep Learning course is offered by Academy Adelphi Worldwide Edu Sdn Bhd. Our in-house training option enables you to select the mix of participants to ensure optimum results and promote team spirit.
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.
As a subset of artificial intelligence (AI), machine learning (ML) is a field of computer science that focuses on the analysis and interpretation of patterns and structures in data to achieve learning, reasoning and decision making outside of human interaction.
Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.
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.
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