This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning certification training to draw predictions from data.
The Machine Learning market is expected to reach USD $8.81 Billion by 2022, at a growth rate of 44.1-percent, indicating the increased adoption of Machine Learning among companies. By 2020, the demand for Machine Learning engineers is expected to grow by 60-percent.
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As part of our eLearning program, you will be practically involved in various projects and assignments, which include Realtime Project Scenarios as well. This gives you realtime practical industry exposure.
VoiSAP’s certificate will be issued once you successfully complete the training which includes practicals, assignments and quiz.
VoiSAP’s certification training is recognized by more than 500 top MNCs, including CGI, Accenture, Walmart, Amazon, IMAX, Sony, RBC, HSBC, Standard Chartered Bank, IBM, Infosys, Lafarge, TCS, and many more.
Machine learning is generally divided into three types – Supervised learning, Unsupervised learning, and Reinforcement learning. This machine learning course gives you an in-depth understanding of all these three types of machine learning.
Yes, some coding knowledge is required to perform certain machine learning tasks like statistical analysis. Basic knowledge of either Python, R, or Java is recommended before taking this Machine Learning certification course.
Simplilearn’s Machine Learning certification course is designed by subject matter experts who know what skills are most valued by employers. Topics like types of machine learning, time series modeling, regression, classification, clustering, and deep learning basics are thoroughly covered, and allow you to start a career in this field.
Some of the top job roles in the field of machine learning are data scientists, machine learning engineers, NLP Scientists, computer vision engineers, and data architects. This Machine Learning course gives you all the necessary skills to become eligible for such roles.