Technomanagers

Machine Learning For Product Managers — Module 6, Logistic Regression, Logit/Probit Model, Confusion Matrix ►What does it mean by classification Problem? ►What is logistic regression? ►Why use logistic regression for a classification problem? ►How to evaluate the performance of logistic regression? ►Confusion Matrix, AOC Curve, ROC Curve ►Precision and Recall Subscribe to our Youtube Channel —  Technomanagers

  Machine Learning for Product Managers — Module 5 Machine learning modelling, Parametric and Non-Parametric Machine Learning Algorithms, the complexity of the model, bias-variance tradeoff, and performance of the linear regression model. Subscribe to our Youtube Channel to watch the video —  Technomanagers Module 5— Machine Learning Model Development In this module, we will learn the following topic What does it mean by Machine learning modelling? How to do an evaluation of Machine Learning Models Parametric and Non-Parametric Machine Learning Algorithms Linear Regression What’s the difference between simple linear regression and multiple linear regression? How does the complexity of the model affect the error of the machine learning model? What is the bias-variance tradeoff? How will you evaluate the performance of the linear regression model?

Machine Learning for Product Managers — [4/6] We have started an online course to educate Product Managers/ Business Managers about Machine learning. Subscribe to our Youtube Channel —  Technomanagers What will you learn in this course? In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it. This course is divided into 6 modules. In the first module, we will see, see the introduction to machine learning In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no. In the third module, we will see how to use machine learning weapons. In the fourth module, we will see how to prepare the training data for machine learning, that’s the first step in developing any machine learning model. From there we will move on

  Module 3— How to use ML as a weapon (Watch Video) In this module, we will learn the following topic What does the machine learning project lifecycle look like? How to organize your team and project for success? What are some roles and Responsibilities of the Machine learning project team? Subscribe to our Youtube Channel —  Technomanagers What will you learn in this course? In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it. This course is divided into 6 modules. In the first module, we will see, see the introduction to machine learning In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no. In the third module, we will see how to use machine learning weapons. In the fourth module, we will see how

  Machine Learning for Product Managers — [2/6] We have started an online course to educate Product Managers/ Business Managers about Machine learning. Subscribe to our Youtube Channel —  Technomanagers What will you learn in this course? In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it. This course is divided into 6 modules. In the first module, we will see, see the introduction to machine learning In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no. In the third module, we will see how to use machine learning weapons. In the fourth module, we will see how to prepare the training data for machine learning, that’s the first step in developing any machine learning model. From there we will move