2018 plan for getting expertise in Machine Learning and Deep Learning
Machine Learning and deep learning are next frontier in the world of innovation. These skill sets are high in demand and demand is going to increase further as we are moving towards a world with connected systems. Although I am experienced professional with SAS having multiple SAS certifications and using SAS for programming, predictive model building, optimization and data visualization for more than seven years, I will be foolish I do not recognize how important it is to adopt open source platforms for innovation. 2018 plan to acquire expertise in these are are 1. Choose a programming language and I have chose python as my language of preference 2. Do hands on practice to be efficient in Pandas and Numpy. These two libraries are useful and very important for data exploration,wrangling and data cleaning. I find Kernals in Kaggle and below blogs and books to be helpful tutorial for Pandas a. https://www.dataquest.io/blog/pandas-tutorial...