Advanced Topics in Machine Learning - CST396 KTU CS Sixth Semester Honours Notes - Dr Binu V P 9847390760

About Me

Syllabus

Module-1 (Supervised Learning)

Overview of  Machine Learning

Supervised Learning,Regression

Naive Bayes Classifier

Decision Trees-ID3

Discriminative and Generative Learning Algorithms

Module-2 ( Unsupervised Learning)

Similarity Measures

Clustering-K Means, EM Clustering



Module -3 (Practical aspects in machine learning)



Module -4 (Statistical Learning Theory)

PAC( Probably Approximately Correct) learning

Vapnik-Chervonenkis(VC) dimension.

Module -5 (Advanced Machine Learning Topics)

Graphical Models-Bayesian Belief Networks, Markov Random Fields(MRFs)

Inference in Graphical Models-Inference on Chain , Trees and factor Graphs



Comments

  1. Percept Rehabilitation Center7 May 2024 at 12:22

    Best Occupational Therapy Center In Uttar Pradesh | PerceptRehabilitationCenter

    Percept Rehabilitation Center is your one stop for the Best Occupational Therapy Center In Uttar Pradesh. We understand the need of finding the right care, especially for you children's. That's why we offer wide range of services which is designed to solve various needs and conditions. At Percept Rehabilitation Center we believe in the best approach to healthcare. Our team of experienced experts in varities of therapeutic interventions to help your childrens overcome challenges and achieve your goals. From motor development to speech therapy, we have the expertise to meet your needs. Our Services: Speech Therapy, Motor Development Therapy, Early Intervention, Development Therapy, Brain Gym Activities & Behavior Management. At Percept Rehabilitation Center, we are promising our customers to providing the best occupational therapy service for all ages of childrens. Whether your child is struggling with the sensory integration, behviour management or motor skills, at Percept Rehabilitation Center our expert team of occupational therapist is here to help you.

    326, first floor, near Cambridge school, Shakti Khand III, Indirapuram, Ghaziabad, Uttar Pradesh 201014

    Locate us: Percept Rehabilitation Center (Dr. Neetu Solanki -Occupational Therapist)

    Phone: 08860460038

    occupational therapy

    occupational therapy

    ReplyDelete
  2. Percept Rehabilitation Center8 May 2024 at 07:16

    Verde | Shop Premium Accessories: Ties, Cufflinks, Totes & More

    Welcome to Verde, we are an Indian brand that celebrates the joy of self- expression and embracing your unique style. Explore our consciously crafted selected of accessories, made in India. Looking for the perfect finishing touch to your outfit? We've got you covered! From best-in-class men's ties in classic blue, green, and navy to unique designer cufflinks, including dog designs in silver and gold, we offer a classy selection for every taste. Upgrade your formal wear with our premium neck ties and navy blue coat ties or add a touch of personality with our luxury and unique cufflinks. We also have the perfect gift sets with ties and pocket squares.


    HD 404, We Work DLF Forum, Cybercity, Near DLF Cyber Hub, Phase 3, Gurugram, Haryana, 122002


    +91 9717222550

    contact@verdelife.co

    ReplyDelete

Post a Comment

Popular posts from this blog

Inference in Graphical Models-Inference on Chain , Trees and factor Graphs

Image
We turn now to the problem of inference in graphical models, in which some of  the nodes in a graph are clamped to observed values, and we wish to compute the posterior distributions of one or more subsets of other nodes. As we shall see, we can exploit the graphical structure both to find efficient algorithms for inference, and to make the structure of those algorithms transparent. Specifically, we shall see that many algorithms can be expressed in terms of the propagation of local messages around the graph. To start with, let us consider the graphical interpretation of Bayes’ theorem.Suppose we decompose the joint distribution $p(x, y)$ over two variables $x$ and $y$ into a product of factors in the form $p(x, y) = p(x)p(y|x)$. This can be represented by the directed graph shown in Figure 8.37(a). Now suppose we observe the value of $y$, as indicated by the shaded node in Figure 8.37(b). We can view the marginal distribution $p(x)$ as a prior over the latent variable $x$, and ...
Read more

Auto Encoder, Variational Auto Encoder

Image
  Autoencoder is an unsupervised artificial neural network that learns how to efficiently compress and encode data then learns how to reconstruct the data back from the reduced encoded representation to a representation that is as close to the original input as possible. Autoencoder, by design, reduces data dimensions by learning how to ignore the noise in the data. An autoencoder, which is a neural network made up of two parts: • An encoder network that compresses high-dimensional input data into a lower dimensional representation vector • A decoder network that decompresses a given representation vector back to the original domain The network is trained to find weights for the encoder and decoder that minimize the loss between the original input and the reconstruction of the input after it has passed through the encoder and decoder. The representation vector is a compression of the original image into a lower dimensional,latent space. The idea is that by choosing any...
Read more