Ridge Regression is popular linear regression for shrinking the input.

Ridge Regression is an augmentation of Linear Regression which helps by adding a regularization penalty to the loss function at the time of training. Basically, it has the potential to give output by contracting the coefficient for those input variables that do not contribute to the prediction. It is a method in which the model is adjusted in such a way that it helps in analyzing data that faces problems due to multicollinearity. Here L2 regularization method is performed. Ridge Regression is one of the popular methods. Due to which…


Machine Learning Algorithms have made stock price prediction much easier and more reliable.

In Today’s technology-driven world of Artificial Intelligence, Machine Learning, and Deep Learning predicting stock market trends and prices has become extremely popular. That’s due to the availability of numerous data and systematic analysis of this data through different algorithms. As we know stock markets have always been a very important mode of investment for businesses and today due to Artificial Intelligence and its different algorithms its has become much easier, less time-consuming, and more reliable. Hence many AI Startups are leveraging themselves with this technology. …


Dense Layers are extremely helpful in Artificial Intelligence Algorithms.

In Deep Learning models layers can be considered as the configuration of different lines that are sum up together. Basically, every layer in the Deep Learning model has its own specific significance depending upon the work assigned to it or according to its features. Hence its extremely important for AI Startups to leverage their products properly with these concepts. In today's blog, we are looking into Dense Layers and understand its working.

Dense Layers

Dense Layers in Neural Networks are completely connected with each other hence the name Dense Layers. Basically…


All Four types of Data Analysis are extremely useful for businesses.

In today’s world of advanced technology of Artificial Intelligence and Machine Learning Data have become an important part of all business. And analyzing that data has become a crucial part of any business to gain the desired susses. Basically, Analysis of the Data helps in better understanding of the problem and also helps in delivering a better output based on the previous decisions. As we know data today has become a key asset for any business and using it properly can do wonders for any organization. Hence it becomes…


ICA is one of the useful Machine Learning techniques in signal processing and differentiating.

Independent Component Analysis is a Machine Learning Technique also known as signal filtering computational technique that is used for differentiating multivariate signals into supplementary subcomponents. While caring out this procedure few assumptions are considered, that the supplementary subcomponents are probably non-Gaussian signals also they are scientifically independent of each other. Basically, its main agenda is to break up multivariate signals into independent non-Gaussian signals.

Normally any sound is formed by the amalgamation of number signals which are numerically added at time t, from a different number…


Apriori Algorithm in Machine Learning is extremely helpful in understanding different transactions.

Apriori is an algorithm that was put forward by Agrawal and Shrikant in 1994. Apriori algorithm is designed to be used in the discover association rule which calls attention in the database. Basically, this algorithm helps in determining the strong or weak bonds that are formed between two objects. And all of these are done with the help of a Breath-first search and Hash Tree. Its application in the financial sector for market base analysis of different products according to their sales, also in the medical sector in…


Principal Component Analysis is a very helpful tool for dimensionality reduction.

Principal Component Analysis is also known as — PCA, is a Machine Learning technique useful in dimensionality reduction. This technique with the help of a simple matrix from linear algebra and statistics to compute a prediction of the original data into the same number or fewer dimensions. Basically, we can say that it is a prediction method where data of m-columns is predicted into a subspace with m or fewer columns, though maintaining the soul of the original data. Principal Component Analysis is an unsupervised machine learning tool. It…


Anomaly Detection help in processing the data efficiently.

In today’s blog, we shall be discussing Anomaly Detection. Anomaly Detection is helpful in data analysis to find out or identifies any items, events that are different from the majority of the data. Basically, they are also known as outlier detectors, as they help in detecting problems like bank fraud, structural issues, medical problems, or any kind of errors in the text, etc. Anomaly Detection has gained a large amount of popularity and attention due to a lot of different Emerging technologies like Artificial Intelligence and Machine Learning. These technologies generate a…


AI giving a helping hand in the early detection of Alzheimer Diseases

“Artificial Intelligence and Alzheimers”, yes you read it right. As Artificial Intelligence is spreading its roots in different sectors…….no, no wait it won’t be exaggerating to say almost in every sector and proving extremely helpful. So it is happening here in the medical sector. With its advanced technologies and algorithms, it is proving beneficial in the early detection of different diseases. One of such Diessess is “Alzheimer’s”.

Alzheimer’s is an inevitable, intensifying disease that is related to the brain. Basically, we can say that it is a dementia-like…


Posenet is a posture detection Computer Vision Technique.

Posenet technique is not as complicated as its name looks, in fact in simple language, we can say it is a pose or posture detecting technique. As the world is seeing new revolutions every day with the help of Artificial Intelligence, Machine Learning, and Deep Learning through their different applications and advanced techniques. Posenet is also one such application with the help of Deep Learning and its Algorithms detecting human Posture. …

Rupika Nimbalkar

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