Technomanagers

Like and Comment on the video and win a chance to get free resume mentorship Don’t forget to mention important personal details like Linkedin Profile, Email, Contact etc. Use Power verbs like Brainstormed, Developed etc. Don’t overuse them  Remember to quantify the Work experience points & list them in reverse chronology Resume points can be maintained in single line <What have you done, What is the Impact> Highlight the numbers in the resume by making them bold Make a one pager resume, unless you have work ex greater than 10 years. Resume Resume Writing Tips Resume Writing Resume Resume Writing Service

  Business Strategy — Module 2| Importance of Industry Analysis, Porter 5 Forces detail, Business Strategy We will be putting content related to Product Management, Management in technology and business strategy etc. Subscribe to our Youtube Channel Product Management Question Bank  =  Click Here Product management Resume/Mocks/Concepts  =  Click Here Youtube Channel  =  Click Here

  Business Strategy — Module 1 | Intro to Business Strategy, Levels Of Business Strategy, Strategy Pillars Subscribe to my Youtube Channel

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 — [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