Algorithms for Machine Learning:

 

Algorithms for Machine Learning:

The decision of "which algorithm should I study?" is typically challenging for novice users. Read this to learn about a comprehensive collection of machine learning algorithms. Machine learning algorithms have their own set of advantages and disadvantages. Some excel with textual data, while others excel at pictures, while still others excel at other types of data (Understand data).

What are the many types of Machine Learning Algorithms?

Many criteria, such as resemblance, behaviour, data kinds, and others, can be used to classify machine learning algorithms. Other posts will go into the specifics.

Regression Algorithms: What Are Their Names?

Regression using Ordinary Least Squares (OLSR)

1. Regression in Steps

2. Regression Linear

3. Logistic Regression is a technique for predicting the outcome of

4. Scatterplot Smoothing Using Local Estimates (LOESS)

5. MARS (Multivariate Adaptive Regression Splines) plus a slew of more + variants

Regularization Algorithms: What Are Their Names?

1. Regression of the Ridge

2. Selection Operator with Least Absolute Shrinkage (LASSO)

3. Net Elastic

4. Least-Angle Regression is a kind of regression that uses the least number of steps to (LARS)

5. and several others, as well as variants

What Are the Different Types of Bayesian Algorithms?

1. Bayesian naive

2. Gaussian Bayesian naive

3. Naive Bayes Multinomial

4. One-Dependence Estimators with an Average (AODE)

5. Bayesian Belief Network is a network of Bayesian beliefs (BBN)

6. Bayesian Network (Bayesian Network) is a (BN)

7. and several others, as well as variants

Artificial Neural Network Algorithms: What Are Their Names?

1 .Multilayer Perceptron’s are a kind of perceptron (MLP)

2. Back-Propagation

3. Descent of a Stochastic Gradient

4. Hopfield Network is a non-profit organisation that promotes

5. Network of Radial Basis Functions (RBFN)

6. and several others, as well as variants

Dimensionality Reduction Algorithms: What Are Their Names?

a. Analyze the Principal Components (PCA)

b. Regression using Principal Components (PCR)

c. Regression using Partial Least Squares (PLSR)

d. Mapping by Sammon

e. Scaling in many dimensions (MDS)

f. The Pursuit of Projection

g. Linear Discriminant Analysis (LDA) is a type of discriminant analysis that (LDA)

h. Discriminant Analysis of Mixtures (MDA)

i. Discriminant Analysis Quadratic (QDA)

j. Discriminant Analysis with Flexibility (FDA)

k. and several others, as well as variants

Deep Learning Algorithms: What Are Their Names?

a.Recurrent Neural Networks with Convolutional Neural Networks (CNN) (RNNs)

b.Long-Term Short-Term Memory Networks (LSTMNs) are a type of memory (LSTMs)

c.Auto-Encoders in a Stack

d.Boltzmann Machine (Deep Boltzmann) (DBM)

e.Deep Belief Networks (DBNs) are a type of belief network that (DBN)

f.and several others, as well as variants