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February 3, 2023Thought LeadershipCompanies in today’s competitive market need a way to constantly monitor performance of AI campaigns for maximized revenues. Determining which key performance indicators (KPIs) to monitor is significa...
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October 26, 2022Technical ArticleBrainWave is our quarterly data science digest of articles from our data science, analytics, and data engineering teams. The seventh edition is a compilation of all technical articles from the world o...
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October 20, 2022Technical ArticleModel cards are designed to give a clear, comprehensive picture of a Machine Learning model. A model card describes what the model does, who its target audience is, and how it is kept up. It also offe...
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October 20, 2022Technical ArticleIndustry has already been introduced to the facility of Ops. With the introduction of the Cloud, Big Data analytics has become far more complicated and dynamic. DevOps, MLOps, ModelOps and DataOps are...
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October 20, 2022Technical ArticleTraditional software changes only come from its code; ML application changes can come from the code, the model, or even the data. Thus, using purely Agile methods isn’t ideal for ML. This is where MLO...
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September 25, 2022Technical ArticleDrift is the deterioration of a model’s performance because of changes in real-world factors. The performance of any model is as good as the data it is trained on, but the world is dynamic, and data i...
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September 25, 2022Technical ArticleGiven how much of our world is fuelled by data, we may understandably wonder what data science’s future will hold. While it’s difficult to predict with any certainty what the future’...
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September 25, 2022Technical ArticleDetermining model performance metrics and continuously monitoring its performance – a process is called continuous training and continuous monitoring – is key to ML models’ long-term success. Here are...
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September 25, 2022Technical ArticleWith its ever-increasing traction in ML-backed services, MLOps has become a necessity. Thus, various practices are being implemented at the development and operations level to scale ML projects. Howev...
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July 15, 2022Technical ArticleBrainWave is our quarterly data science digest of articles from our data science, analytics, and data engineering teams. The seventh edition is a compilation of all technical articles from the world o...
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June 20, 2022Technical ArticleDyPy’s goal is to provide an interface to backward dynamic programming that supports the following priorities: speed, flexibility, ease of use and learning
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June 20, 2022Technical ArticleClustering has also been used to solve large-scale problems. Determining the number of output clusters is challenging. In this case, using cooperative game theory provides a new way of addressing this...
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June 14, 2022Technical ArticleSome machine learning models are called “black-box models” due to their lack of explainability. This is where Shapley values can be extremely useful. This is a game theory solution that involves distr...
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June 13, 2022Technical ArticleVisualization has proven to be key in data science. Data visualization methods vary from simple Excel graphs to network diagrams with customized visuals. These networks help us to understand everythin...
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June 9, 2022Technical ArticleIt is a branch of applied mathematics that deals with the analysis of situations involving parties (called players) that make interdependent decisions. Game theory is better suited to describe economi...
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June 2, 2022Technical ArticleReinforcement learning is another branch of machine learning after supervised and unsupervised learning. It is used to make sequential decisions while training machine learning models.
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June 2, 2022Technical ArticleIt is a branch of applied mathematics that deals with the analysis of situations involving parties (called players) that make interdependent decisions. Game theory is better suited to describe economi...
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September 30, 2021Technical ArticleReinforcement learning (RL) is popularly recognized as reward-based learning or self-experienced learning with sequential decision-making mechanisms with the long-term goal of maximizing rewards or mi...
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November 24, 2021Technical ArticleBrainWave is our quarterly data science digest of articles from our data science, analytics and data engineering teams. The sixth edition is a compilation of all technical articles from the world of ‘...
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October 8, 2021Technical ArticleReinforcement learning is another branch of machine learning after supervised and unsupervised learning. It is used to make sequential decisions while training machine learning models. As per the foll...
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September 30, 2021Technical ArticleReinforcement learning (RL) is a branch of machine learning wherein actions are taken based on interactions with an environment. The goal is to maximize a cumulative reward. Because of the ability of ...
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September 29, 2021Technical ArticleAdvancements in deep reinforcement learning and the need for large amounts of training data have led to the emergence of virtual-to-real learning. Computer vision communities have shown keen interest ...
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September 29, 2021Technical ArticleIt’s a fact that reinforcement learning (RL) has certain limitations; thanks to these, other advanced techniques like recurrent neural networks (RNN) and convolutional neural networks (CNN) are gainin...
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September 28, 2021Technical ArticleThere are many real-world problems that do not fall in the traditional problem-solving approaches of supervised and unsupervised learning in machine learning. Complex, uncertain, and real/simulated en...
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September 28, 2021Technical ArticleReinforcement learning (RL)is a framework of trial and error; the system makes short-term decisions while optimizing long-term goals. Having the ability to interact with the environment, the aim of an...
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January 14, 2021Technical ArticleBrainWave Data Science Digest_Edition 5 is our new data science digest of articles from our data science, analytics and data engineering teams. The fifth edition is a compilation of all our technical....
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December 16, 2020Technical ArticleThe revolution in technology consists of massive developments in the IT space that are leveraging the advancements made in electronic and digital architecture to showcase their actual capabilities. Th...
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December 8, 2020Technical ArticleBlockchain technology was first described in the 1990s; the aim was to timestamp digital documents so that it was not possible to backdate them. However, the technology gained popularity with its appl...
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December 8, 2020Technical ArticleOne of the fundamental pillars of blockchain is transparency, and this transparency allows us to access a whole range of data about the blockchain network to create vivid data visualizations. Bitcoin ...
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November 30, 2020Technical ArticleBlockchain has disrupted the world since it was first practically recognized in its Bitcoin implementation, and it continues to be adapted to a number of industries. In the bigger scheme of things, th...
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November 24, 2020Technical ArticleBitcoin is one of many Blockchain applications. Blockchain technology has made its way through financial services, and many other industries are starting to benefit from it. Tracking products and lega...
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November 24, 2020Technical ArticleBlockchain has found application in numerous fields, including cryptocurrency, banking, supply chain management, and healthcare. Simplistically speaking, blockchain enables data to be embedded in a di...
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November 12, 2020Technical ArticleBlockchain’s capabilities find their implementations and applications in multiple domains, including (but not limited to) finance, tourism, social media, digital technology, and healthcare. Blockchain...
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September 17, 2020Technical ArticleBrainWave Data Science Digest_Edition 4 is our new data science digest of articles from our data science, analytics and data engineering teams. The fourth edition is a compilation of all our technical...
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September 4, 2020Technical ArticleNeural networks have become the state-of-the-art algorithm for solving many complex problems in today’s world. However, one of the major challenges of using neural networks is to find the best archite...
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September 4, 2020Technical ArticleOverview Meta learning is synonymous with “learning to learn”. Our usual machine learning models require many data samples for training. The basic idea behind meta learning is to teach the machine abo...
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August 27, 2020Technical ArticleIntroduction Meta Learning is a complex, yet sought-after algorithm that deals with a hurdle faced by common machine learning (ML) algorithms. It is distinct in its ability to solve problems through ...
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August 27, 2020Technical ArticleIntroduction Imagine you are given a problem of developing a facial recognition software for an office which has around 100 employees. The first thing that one would do before building a model is to c...
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August 19, 2020Technical ArticleIntroduction Hyperparameter tuning is the process of finding the best subset of hyperparameters for a given problem. Simply put, we use this tuning to figure out if a tree depth of 12 is better than a...
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August 19, 2020Technical ArticleThis article presents visualization processes that can be followed while working on an Automated Machine Learning (auto-ML) environment. Abstract Training a model on an auto-ML environment involves mu...
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August 19, 2020Technical ArticleMeta learning is one of the most important pillars of next-gen analytics products. The models need to continuously update themselves to give high quality recommendations. The Decision Option Generator...
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July 16, 2020Technical ArticleBrainWave Data Science Digest_Edition 3 is our new data science digest of articles from our data science, analytics and data engineering teams. The third edition is a compilation of all our technical ...
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May 15, 2020Technical ArticleSince the conception of fuzzy logic, there have been many doubts about its usability. People have been raising questions like: Is there a need for fuzzy logic? Doesn’t fuzzy logic contradict classica...
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May 6, 2020Technical ArticleOverview “Fuzzy”, in one sense, refers to things that aren’t quite clear: fuzzy vision, fuzzy thinking, etc. In computer terms, “fuzzy” is the opposite of true/false Boolean logic; it exists on a cont...
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May 6, 2020Technical ArticleIntroduction As a data scientist, you extract data from various sources: publicly available APIs, scraped from web pages, or directly asking for it. Data in the real world can be messy, and dealing wi...
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May 15, 2020Technical ArticleCourses Introduction to Fuzzy Set Theory, Arithmetic and Logic Link: https://swayam.gov.in/nd1_noc19_ma31/preview Excerpt: “In most real-life applications of any decision making, one needs to face man...
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April 13, 2020Technical ArticleInterpretation alone doesn’t necessarily lead to an accurate or wise judgement. There are usually many options between yes and no. This broad spectrum of options, which are not fully yes and not fully...
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April 9, 2020Technical ArticleOverview Uncertainty is inherent in the field of medicine and bioinformatics. There are a lot of “fuzzy areas”; there may be little information (or mistaken information) about the patient, lab results...
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April 6, 2020Technical ArticleOverview A friend asks you how the weather is. Your reply depends on the season, right? Hot or cold. But will it always be either hot or cold? No. Sometimes it will be “somewhat hot”; sometimes it wil...
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April 6, 2020Technical ArticleOverview Neural networks are a set of algorithms inspired by the structure of the human brain’s neural network; they attempt to mimic how our brains function. Neural networks have the potential to lea...
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March 12, 2020Technical ArticleBrainWave Data Science Digest_Edition 2 is our new data science digest of articles from our data science, analytics and data engineering teams. The second edition is a compilation of all our technical...
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February 12, 2020Technical ArticleBackground Sentiment analysis is “the process of identifying and categorizing opinions expressed in the text to determine the user’s attitude towards the subject of the document”. Retrieval of ...
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February 12, 2020Technical ArticleThis is the last in a series of seven NLP articles. It presents the latest techniques and thought processes that are currently being researched for Question Answering Systems (QAS). Abstract QA...
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January 27, 2020Technical ArticleBidirectional Encoder Representations from Transformers – or BERT for short – is a neural-network-based pre-training technique for natural language processing applications. Pre-training a neura...
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January 27, 2020Technical ArticleThe world of social media is advancing rapidly. This has resulted in the collection of copious amounts of data in the form of unstructured text. This text, although very useful, can be hard to interpr...
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January 22, 2020Technical ArticleWhat Is NLP? “Natural language processing (NLP) is a combination of linguistics, computer science, information engineering, and Artificial Intelligence. It is concerned with the interactions be...
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December 4, 2019Technical ArticleText to SQL is a system that converts English statements to SQL queries. This can help in retrieving information stored in a database by expressing commands in natural language (e.g. English). ...
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September 25, 2019Technical ArticleBrainWave is our new quarterly data science digest of articles from our data science, analytics and data engineering teams. The first edition is a compilation of all our technical articles from the wo...
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September 20, 2019Technical ArticleThis is last in a series of seven Segmentation and Clustering articles. Clustering Illusion is an intriguing human tendency to erroneously perceive clusters in small random sample sets. Definit...
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September 12, 2019Technical ArticleThis is sixth in a series of seven Segmentation and Clustering articles. It presents a few available data visualization options for 2D and multi-dimensional data sets. Overview For analysts, th...
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September 11, 2019Technical ArticleThis is fifth in a series of seven Segmentation and Clustering articles. It outlines a procedure for turning typical supervised learning methods into unsupervised methods. A New Approach Machin...
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September 3, 2019Technical ArticleThis is fourth in a series of Segmentation and Clustering articles. It can be difficult to define when a clustering result is acceptable. This article covers several clustering validity techniques and...
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August 22, 2019Technical ArticleThis is third in a series of Segmentation and Clustering articles. Ensemble Segmentation combines several segmentation solutions to create a richer, more multi-dimensional segmentation model. O...
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August 14, 2019Technical ArticleThis is second in a series of Segmentation and Clustering articles. Clustering is a widely used unsupervised learning technique. Overcome the limitations of a conventional ‘typing tool’ with the moder...
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August 9, 2019Technical ArticleThis is first in a series of Segmentation and Clustering articles. Clustering is a widely used unsupervised learning technique. ‘Spectral Clustering’ uses the connectivity approach to clustering. Ove...
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