This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control, robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.Read More
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Aman Angrish, CEO graduated from PEC expertise in Automation & was felicitated by international firms like AT&T Broadband, Qwest communication and lucent for his excellent work.Aman Angrish, CEO, Cherub Software.
Our students making the real impact on the world. They don't sit around and wait for opportunities They simply grab it.
Welcome to the challenging world where we will help sharpen your skills to make you more Efficient To conquer any given challenge.
We will make sure that our every student work on real projects given by our clients not on dummy projects.