Best online courses in Big Data from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world
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...
As far as the tools in analytics industry is concerned, SAS and SPSS used to be popular before the open source revolution took the industry by storm. Open source tools like R and Python are the next big thing and it would make sense to invest time on them. There are enough freely avail...
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 image* def min_loss(fn,epochs,batch_shape): t0 = datetime.now() losses = [] ...