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Introduction Data encodings are unsupervised learned using an artificial neural network called an autoencoder. An autoencoder learns a lower-dimensional form (encoding) for a higher-dimensional data to learn a higher-dimensional data in a lower-dimensional form, frequently for dimensionality reduction. Autoencoders Autoencoders are very useful in the field of unsupervised machine learning. They can be used to reduce the data's size and compress it. Principle Component Analysis (PCA), which finds the directions along which data can be extrapolated with the least amount of variance, and autoencoders, which reconstruct our original input from a compressed version of it, differ from one another. If ... Read More
Introduction Kohonen proposed the idea of a self-organizing map (SOM) in the first place. Since it is an unsupervised neural network that is trained using unsupervised learning methods to create a low-dimensional, discretized representation from the input space of the training samples, it is a way to minimise the dimensions of the data. A map is a common name for this representation. This article will walk through a Kohonen Map beginner's guide, which is a well-known self-organizing map. To begin, let's define what self-organizing maps are. Self-Organizing Maps Self-organizing maps, also known as Kohonen maps or SOMs, are ... Read More
Introduction Machine learning models are essential for successful AI implementation since they represent the mathematical underpinnings of artificial intelligence. The quality of our AI depends entirely on the machine models that power it. We require a method for objectively evaluating our machine learning model's performance and deciding whether it is suitable for use. If we had a ROC curve, that would be useful. Everything that we need to learn about ROC curves is covered in this article. ROC Curve A Receiver Operating Characteristic (ROC) curve is a graphical representation of the performance of a binary classification model. It plots ... Read More
Introduction The learning component of artificial intelligence (AI) is indeed the focus of the area of machine learning. Algorithms that represent a set of data are used to create this learning component. To train machine learning models, certain datasets are sent through the algorithm. This article will define the term "Epoch, " which is used in machine learning, as well as other related topics like iterations, stochastic gradient descent. Anyone studying deep learning and machine learning or attempting to pursue a career in this industry must be familiar with these terms. Epoch in ML In machine learning, an epoch is ... Read More
In haskell, we can use unlines and replicate functions to print mirror lower star in triangle pattern. In the first example, we are going to use ( mirrorLowerTriangle n = unlines [replicate i '*' | i
In Haskell, to print the downward traingle star pattern we will be using mapM_, replicate and unlines functions. In the first example, we are going to use ( mapM_ putStrLn $ map (concat . flip replicate "*") rows) function defined under main function and in the second example, we are going to use user-defined, (printDownwardTriangle n = mapM_ putStrLn [replicate i '*' | i
In Haskell, to print the Left Triangle Star Pattern we will be using mapM_ function, replicate function and recursion. In the first example, we are going to use ( mapM_ putStrLn [replicate i '*' | i > putStrLn (replicate n '*') else return ()) function. Method 1: Printing Left Triangle Star Pattern using mapM_ function under main function In this method, we first define the number of rows of the triangle as n (in this case, n = 5). We then use a list comprehension to generate a list of strings, where each string is a row of the ... Read More
We can use elem function in Haskell to check whether the given alphabet is vowel or consonant. In the first example, we are going to use (isVowel c = c `elem` "aeiouAEIOU") function. And in other examples, we’re going to use elem function along with certain if-else statements, nested conditions and guards. Algorithm Step 1 − The data type ‘Person’ is defined with two fields name and an age. Step 2 − The isVowel function is defined using elem function as Step 3 − The program execution will be started from main function. The main() function has whole control ... Read More
One of the top suppliers of cloud computing services on the market is Amazon Web Services (AWS). AWS has aided companies of all kinds in moving their apps and services to the cloud with its wide range of goods and services. The requirement to replicate environments is one of the difficulties companies encounter when utilizing AWS. Copying settings is crucial for testing, development, and production because it allows businesses to verify and guarantee their systems and apps' functionality, dependability, and security. In this article, we will explore the best ways to replicate AWS environments and the considerations that must be ... Read More
Data is paramount in the contemporary business environment. Businesses that can swiftly and efficiently gather, handle, and evaluate significant quantities of data frequently thrive. Data management and analysis, however, are complex tasks, and it needs a substantial expenditure on technology, software, and IT staff. The need for companies to guarantee the security of their data adds yet another level of complication to data administration. Thankfully, Amazon Datazone is available to assist. What is Amazon Datazone? A cloud-based data administration tool called Amazon Datazone enables companies to keep, handle, and evaluate massive quantities of data in real-time. The network is based ... Read More