Machine Learning Malayalam-Cost Function||Machine Learning Course||Part-2

#machinelearningmalayalam#pythonmachinelearning Machine Learning Malayalam-Cost Function||Machine Learning Course||Part-2 In this Part-2 of "Machine Learning Course" in Malayalam where we define cost function and how to calculate cost function. cost function — it helps the learner to correct / change behavior to minimize mistakes. In Machine Learning, cost functions are used to estimate how badly models are performing. A cost function is a measure of how wrong the model is in terms of its ability to estimate the relationship between X and y. This is typically expressed as a difference or distance between the predicted value and the actual value. The cost function ( this referred to as loss or error) can be estimated by iteratively running the model to compare estimated predictions against the known values of Target. The objective of a ML model, therefore, is to find parameters, weights or a structure that minimizes the cost function. Overall scope of this course: 1. Introduction to Machine learning- Need for AI/ML, why to learn AI/ML, machine learning types, supervised, unsupervised and reinforced learning, application, difference between Human thinking Vs Machine thinking, difference between programming vs Machine learning. https://www.youtube.com/playlist?list=PL8TFnSWEDfku0ectlh4XRs-fDwo_7Lyz- 2. Mathematics for Machine learning- Trigonometry, linear algebra, matrices, calculus & probability. https://www.youtube.com/playlist?list=PL8TFnSWEDfku5K9lZaQHh3DWgeJrcyI78 3.Python for Machine learning- variables, different libraries needed for data science such as numpy, pandas, matplotlib, etc Python basics:https://www.youtube.com/playlist?list=PL8TFnSWEDfkujEMJLPOX7ODlYhdKCiaP0 Python Intermediate: https://www.youtube.com/playlist?list=PL8TFnSWEDfktFU2x3udznUQ5SGIMQaE-J Python Projects : https://www.youtube.com/playlist?list=PL8TFnSWEDfkso3IuFFlNbQMl0jc6AgyKW 4. Deep-dive into machine learning- How ML algorithm works, the concept of cost function and gradient descent, practical examples for linear regression and Classifications, ML Algorithms and its usage. https://www.youtube.com/playlist?list=PL8TFnSWEDfksKJkIa_g-_OcuDlvOu8rgT 5.Introduction to OpenCV- Image/video processing with OpenCV 6. Face recognition- Building a security alarm system using ML techniques Facebook Page:https://www.facebook.com/braintek2021/ Join Facebook Group:https://www.facebook.com/groups/157644062844595/