Introduction Fixed basis functions are functions that help us to extend linear models in Machine Learning, by taking linear combinations of nonlinear functions. Since Linear models depend on the linear combination of parameters, they suffer a significant limitation. The radial function thus helps model such a group of models by utilizing non-linearity in the data while keeping the parameters linear. Different linear combinations of the fixed basis functions are used within the linear regression by creating complex functions. In this article let us look into the fixed basis function and its limitations Fixed Basis function A linear regression model ... Read More

Introduction In Recommendation Systems, Collaborative filtering is one of the approaches to building a model and finding seminaries between users. This concept is highly used in Ecommerce sites and OTT and video-sharing platforms. One of the highly talked about issues that such systems face while in the initial modeling phase is that of data sparsity, which occurs when only a few users give ratings or reviews on the platform and are in any way involved in the interaction. In this article let us understand the problem of data sparsity in the Recommendation System and know about ways to handle it. ... Read More

Introduction In Machine Learning, a good model is generated if we have a good representation and amount of data. Data may be divided into different sets that serve a different purposes while training a model. Two very useful and common sets of data are the training and testing set. The training set is the part of the original dataset used to train the model and find a good fit. Testing data is part of the original data used to validate the model train and analyze the metrics calculated. In this article lets us explore training and testing data sets in ... Read More

Introduction Corpus is known as a collection of text documents that are readable by a machine. Corpus has a particular structure to it. Various NLP operations can be performed on a corpus. Corpus readers are utilities that can read through these text files. Custom corpus is generated using NLTK data package. A special convention is followed to create a custom corpus. Corpora is the plural form of a corpus. In this article let us understand briefly about corpora and how to create a custom corpus. Custom corpus A corpus can be in any of the given formats. From original ... Read More

Introduction In the latest digital age, the accumulation and analysis of statistics have become crucial for businesses across numerous industries. Big records refer to large amounts of established and unstructured records that may be harnessed to extract precious insights. Massive facts revolutionize how corporations function, from healthcare to finance, marketing to transportation. In this article, we can explore the transformative strength of huge statistics across distinct sectors and apprehend its effect on choice−making, innovation, and purchaser experience. Healthcare Big records are revolutionizing the healthcare enterprise, allowing better patient care and medical studies. Electronic health facts (EHRs) seize patient records, allowing ... Read More

From being a Bitcoin stage, as brought about by Satoshi Nakamoto in 2009, blockchain has made progress in enhancing organizations across different areas. It is great to see the technology transitioning in India as well, with the public authority taking action to set up a public blockchain structure. This technology will be a well−defined benefit for the coming days. Until 2030, this technology will be essential for 30% of the world. Blockchain is at the pinnacle of its notoriety, so the work market lacks Blockchain specialists and specialists. On the off chance that you get into Blockchain innovation now, it ... Read More

Big Data Big data alludes to the enormous volume, variety, and velocity of data created from different sources, including web−based entertainment, sensors, and cell phones, and that's just the beginning. The expression "big" includes the sheer volume of data and addresses the data's intricacy and variety. Big data is portrayed by its three V's − Volume Big data includes a huge amount of data that outperforms the handling abilities of conventional data set systems. The scale goes from terabytes (~ all of your PC extra room) to exabytes (~ all of your extra room X a million) and then some. ... Read More

Artificial Intelligence is at its peak nowadays, and it has ushered in a new era of possibilities in mobile app development, and iOS platforms are no exception. As we approach 2023, the integration of AI and ML is set to redefine the landscape of iOS app development. iOS application development companies work closely with organizations to create customized mobile applications. Collaboration of AI with App Development AI and Dev's technologies collaborate with businesses to understand their objectives, target audience, and unique challenges, ensuring that the resulting iOS applications align perfectly with the organization's goals. Based on reports, the Machine ... Read More

The desire for profitability, effectiveness, and risk reduction have always been the driving forces behind the financial sector's dynamic nature. Artificial Intelligence (AI) is at the center of this transition since innovation has significantly impacted the financial sector. Artificial intelligence has transformed trading methods and risk management procedures in the financial sector thanks to its amazing capacity for processing massive volumes of data and making wise choices. This article explores the profound impact of AI on finance, particularly in optimizing trading approaches and enhancing risk management, paving the way for a more efficient and resilient financial ecosystem. Recognizing AI's Function ... Read More

Data holds essential information that informs decision−making in many different disciplines in the modern world. However, employing conventional methods might be challenging when working with a large volume of complicated data. Artificial intelligence (AI), a potent tool that has transformed how we analyze data, enters the picture in this situation. Organizations can use AI to find hidden patterns and trends and improve decisions. In this article, the impact of AI on data analysis is examined using case studies from India's healthcare, financial, agricultural, governance, and educational sectors. India's innovation landscape is changing as a result of AI, creating a bright ... Read More