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In today’s world Machine learning is the most trending and powerful technology. That’s why I have decided to share valuable information for beginners in ML and DL through the blog posts on this site. Capable Machine
SKILLS REQUIRED FOR MACHINE LEARNING
Domain knowledge is the knowledge about the environment in which the data is being processed to reveal secrets. Domain knowledge is very important during data cleansing and feature engineering.
Math and Statistics
Basic mathematical skills required for Machine Learning are Linear Algebra, Basic Calculus, Matrix Decomposition, also Knowledge of Statistics and Probability theory plus Geometric analytical skills.
Understanding of the Data Structures, Algorithms, Oops concepts. Also the Knowledge of programming languages, such as Python, R, Java, C++. Understanding of databases, such as SQL, MongoDB.
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Capable Machine is the technical blogging website for those who want to know about ML, AI and how it works. Here, you will learn about Mathematical concepts behind ML algorithms, moreover real world problems and practical solutions. You can read more about here.
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Created by Sarang Deshmukh