Found 377 Articles for Artificial Intelligence

Emotion detection is a fascinating subject of machine learning that has sparked a lot of sustentation in recent years. Understanding and assessing human emotions from text data offers a wide range of applications, including sentiment wringing in consumer feedback, social media monitoring, and developing virtual teammate abilities. Among the several emotion detection methods available, Bidirectional Long Short-Term Memory (BiLSTM) stands out as a powerful tool capable of swiftly capturing the contextual information needed to unceasingly categorize emotions in text. Let's start by comprehending the relevance of Bidirectional LSTM. Long Short-Term Memory (LSTM) is a sort of recurrent neural network (RNN) ... Read More

Introduction Cross Validation (CV) is a way of training machine learning models in which multiple models are trained on a part of the data and then accessing their performance or testing them on a independent unseen set of data. In the Cross-validation technique, we generally split the original train data into different parts iteratively so that the algorithm trains and validates itself on each portion of the data none of them are left out in the process In this article let us have a deep good understanding of the Cross-Validation technique and its significance in improving Model accuracy. Cross Validation ... Read More

Introduction Normality is defined as the phenomenon of belonging to a normal or Gaussian distribution in statistical terms. The normality of a dataset is the test for a dataset or variable if it follows a normal distribution. Many tests can be performed to check the normality of a dataset among which the most popular ones are the Histogram method, the QQ plot, and the KS Test. Normality testing – Checking for Normality There are both statistical and graphical approaches to determining the normality of a dataset or a feature. Let us look through some of these methods. Graphical Methods Histogram ... Read More

Introduction OOB or Out of Bag error and OOB Score is a term related to Random Forests. Random Forest is an ensemble of decision trees that improves the prediction from that of a single decision tree.OOB error is used to measure the error in the prediction of tree-based models like random forests, decision trees, and other ML models using the bagging method. In an OOB sample, the number of wrong classifications is an OOB error. In this article let's explore OOB error/score. Before moving ahead let us a short overview of Random Forest and Decision Trees. Random Forest Algorithm Random ... Read More

Introduction Today Machine Learning plays a crucial role in predicting stock prices and the growth of popular organizations and investment banks. While working on many such problems we consider many relations and correlations between different kinds of factors. The Anne Hathaway Effect is one such peculiar correlation related to popular businessman and investor Warren Buffet, Anne Hathaway, and his company Berkshire Hathaway(BRK). In this article let us know more about the effects and observations around this phenomenon. The Anne Hathaway Effect The Hathaway effect news was first picked up by CNBC. According to this effect, whenever Anne ... 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