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Company providing educational and consulting services in the field of machine learning
Application of categorical input data in machine learning
Gradient Descent in machine learning
How is multiple linear regression used in machine learning?
Linear Regression Theory and Code in the Python language
The application of L1 and L2-regularization in machine learning
The role of linear regression in machine learning
What is the generalization error in machine learning?
Solving the XOR problem
How does machine learning help marketers use the customer data more effectively?
How to solve the problem of Donut with the help of logistic regression?
Modification of weighting coefficients using gradient descent
The Cross-entropy error function. Theory and Code
The Logistic Regression Fundamentals of Machine Learning in Python
The Theory and the Code of the Neural Logistical Classifier
Theory and code in L1 and L2-regularizations
Training the logistic model while using a private solution for the Bayes classifier
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