Nex-G Innovations

"It was the most challenging but the best experience I had as I was novice in machine learning world. My Mentor was supportive and helpful all the time. With one word they are amazing. Nex-G was definitely the correct place to take machine learning related courses because we felt like a part of Nex-G family."

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Machine Learning Python Training

PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library. In fact, we came up with the name first and later reverse-engineered this quite descriptive "Backronym"..

Why is Machine Learning important ?

Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage. All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale. And by building precise models, an organization has a better chance of identifying profitable opportunities – or avoiding unknown risks.

Machine Learning Training Objectives

  • Conceptual understanding of learning applications, formulation of learning tasks as computational problems, and methods that are designed to solve these problems
  • Understanding the commonalities and differences between different learning tasks and different approaches to learning
  • Understanding the trade-offs in developing solutions
  • Thorough understanding of rigorously evaluating the performance of learning algorithms
  • Ability to manipulate, extend, and apply machine learning methods and algorithms in the context of real-world problems

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