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5. Machine Learning for Data Science and Analytics by ColumbiaX This course intends to give you a basic understanding of machine learning and its different algorithms. During this course, you will learn about Machine Learning algorithms such as Support Vector Machines, Logistic Regression, Unsupervised...
**#Wrapper Function to feed loss and gradient with proper format to L-BFGS* def get_loss_grad_wrapper(x_vec): l,g = get_loss_grad([x_vec.reshape(*batch_shape)]) return l.astype(np.float64), g.flatten().astype(np.float64) *#Function to minimize loss and iteratively generate the ...
I need help here. With my profile as working for an IT firm, I was mainly involved in work with Business Intelligence reporting tool MicroStrategy and SQL. Now, I am looking for change in profile and want to start my career in Data Analytics sector. Not having expertise in this is the ...