Machine learning is a field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
This is a five day workshop which will progressively take you through various Supervised Learning algorithms, providing hands on experience on problems based on Classification, Regression, Textual analysis, Time Series analysis, Feature Engineering and Optimization. At the end of this workshop, you would have solved and uploaded your results to the respective sites.
A high level overview of what machine learning is and to recognize the problems that can be solved with Machine Learning.
Select the right technique to solve the problem (is it a classification problem? a regression? needs preprocessing?).
A few libraries like Numpy, Pandas, Scikit-Learn, to start your learning experience, that you can improve upon.
A certificate for succesful completion of the course.
Finally, you would be able to decide if Machine Learning is for you and what you would have to do next, if you want to make this your career.
|Hinjowadi||Pune||Machine Learning Bootcamp||July 17th, 2018 to July 21st, 2018||Rs.8000 to
Venkatesh Tadinada is passionate about data. "In God we trust, all others bring data," said Edward Deming, a philosophy wholly imbibed by Venkat. For the last 25 years, he has been working in various domains and various technologies with DATA as a common theme. Starting with Data Warehouses, proceeding on to Data Mining, Business Intelligence and now Machine Learning, Deep Learning & AI.
He successfully co-founded and exited a couple of startups so far. One of which is of Business Intelligence for Enterprises and the other is an Insurance sector product. Currently, he is invested in a few startups in the ML area and also sits on the boards of a few more.
Venkatesh has a Masters in Computers Science and an MBA. He brings his formal education and experience, combined with his passion for DATA to develop Predictive Analytics capabilities to his enterprise clients in pharmaceutical and insurance verticals.
Venkatesh in his spare time also follows his passion for teaching by conducting workshops in Machine Learning where he coaches aspiring students in the joy of DATA.