Linear Algebra (Day 11 – Day 16)
Once you’ve gained knowledge of basic understanding of Python, now you’ll be learning the most delicate and highly used function in Machine Learning i.e. Linear Algebra. Now you’ll be looking forward to starting learning concepts of Algebra like Matrix operation, Vectors, Eigenvalues, etc.
- System of Linear Equation
- Matrix Operation
- Properties of Matrix
- Solving Linear Equation using Gaussian Elimination
- LU Decomposition of Linear Equation
- Row Echelon Form
- Determinant
- Eigenvalues and Eigenvectors
- Eigenspace
- Orthogonal and Orthonormal Vectors
- Eigen Decomposition
- Diagonalization
- Singular Value Decomposition — Implementation
- Matrix Approximation
- Vector Operations
Learn Machine Learning in 45 Days
Machine Learning has become one of the most demanding technologies in the world. It is well capable of automating tasks and too with intelligence (like a human touch). This process allows machines to automate tasks by delivering intelligence via machines. Machine Learning has drastically surged in the past few years and its market is expected to grow from USD 21.17 billion (2022) to USD 209.91 billion (2029), at a CAGR of above 38% during the forecast period.
Today, Machine Learning is actively helping businesses automate and deliver their tasks efficiently. Besides this, it also helps create models that can handle large sets of data that can be highly scalable and functional with less TAT. That is why Engineers and businesses are more involved in building such precise ML models that can leverage profitable opportunities and avoid unknown risks.
Some of the most famous applications of Machine Learning are in Image recognition, text generation, and so on that, we’re seeing in today’s applications and software. These are some of the notable scopes for machine learning experts to shine as sought-after professionals. If you’ll look into it from a career perspective, as of now, there are over 15,000 active job openings in India & above 270k worldwide. Being one of the most demanding, high-paying jobs has made many individuals pave their careers toward Machine Learning.
Perhaps, by the above-mentioned stats, you must have understood the importance of Machine Learning in today’s world. Being a beginner’s level is pretty hard to acknowledge the learning path in well-sync form. This is why we came up with this article to help you with the basics with a deep understanding. After going through this chart, you’ll learn How to Start Your Journey in Machine Learning and become an ML expert in 45 Days.
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