Bias, Variance and Trade-off
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This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
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This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
Published:
This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
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This post contains some of the important notes which come in handy while working with vector-calculus.
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Stability theory is used to address the stability of solutions of differential equations. A dynamical system can be represented by a differential equation. The stability of the trajectories of this system under perturbations of its initial conditions can also be addressed using the stability theory.
Published:
This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
Stability theory is used to address the stability of solutions of differential equations. A dynamical system can be represented by a differential equation. The stability of the trajectories of this system under perturbations of its initial conditions can also be addressed using the stability theory.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
I have always found rotation using Euler angles confusing. This post is just a simple note to maintain my sanity while performing rigid body transformations using Euler angles and rotational matrices.
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This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
Published:
The post explains the basics of Random Processes. Click here to read further.
Published:
This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
Stability theory is used to address the stability of solutions of differential equations. A dynamical system can be represented by a differential equation. The stability of the trajectories of this system under perturbations of its initial conditions can also be addressed using the stability theory.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
Stability theory is used to address the stability of solutions of differential equations. A dynamical system can be represented by a differential equation. The stability of the trajectories of this system under perturbations of its initial conditions can also be addressed using the stability theory.
Published:
The post explains the basics of Random Processes. Click here to read further.
Published:
The post explains the basics of Random Processes. Click here to read further.
Published:
The post explains the basics of Random Processes. Click here to read further.
Published:
I have always found rotation using Euler angles confusing. This post is just a simple note to maintain my sanity while performing rigid body transformations using Euler angles and rotational matrices.
Published:
I have always found rotation using Euler angles confusing. This post is just a simple note to maintain my sanity while performing rigid body transformations using Euler angles and rotational matrices.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
The post explains the basics of Random Processes. Click here to read further.
Published:
This post is a quick note to myself regarding bias-variance trade-off. The note is compilation of Andrew Ng’s machine learning lecture and my understanding. I hope someone may find it insight full.
Published:
This post contains some of the important notes which come in handy while working with vector-calculus.
Published:
In the previous post, I discussed the basics regarding the stability of fixed points of a dynamical system and explained it with a simple continuous-time one-dimensional example. In this post, I will discuss fixed points for a general case of a continuous-time $n$-dimensional system.
Published:
Quaternions are a number system that extends complex numbers. A quaternion provides a convenient mathematical notation for representing orientations and rotations of an object in three dimensions. This section discusses some of the useful properties and operations which are used in quaternion rotation.
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Quaternions are a number system that extends complex numbers. A quaternion provides a convenient mathematical notation for representing orientations and rotations of an object in three dimensions. This section discusses some of the useful properties and operations which are used in quaternion rotation.
Published:
Quaternions are a number system that extends complex numbers. A quaternion provides a convenient mathematical notation for representing orientations and rotations of an object in three dimensions. This section discusses some of the useful properties and operations which are used in quaternion rotation.