Data Science As a Career

Is data science a good career? Yes! Data science is an excellent career with tremendous opportunities for future advancement. The current scenario sees high demand, competitive salaries, and numerous perks. Glassdoor rates data scientists as the “best job in America” and LinkedIn states it to be “the most promising career”. The Chief Economist of GoogleRead More

5 Main steps in the Data Science Life Cycle?

In the modern world, data is of very high importance. Many disciplines have developed around the study and processing of data with data science among them. Data is processed through various stages during its lifetime, starting from creation, testing, processing, and consumption to finally being reused. These stages can be anywhere from five to sixteenRead More

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VCs sound the alarm bells

An ominous ring of the past is sending shivers down corporate spines. Is it the end of good times? On an early October day in 2008, Sequoia Capital, the benchmark venture capital firm the world swears by, called an emergency meeting of its entrepreneurs, including Alfred Lin – a partner at Sequoia and a formerRead More

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What is supervised machine learning and types?

Supervised machine learning is a subset of machine learning and artificial intelligence. Supervised learning is distinguished by the use of labeled datasets to train algorithms that properly categorize data or predict outcomes. In the cross-validation process, the model is trained to recognize the underlying patterns between the input data and the output labels. Supervised learningRead More

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The Race For Artificial General Intelligence Intensifies

AGI can enable robots to understand, learn, and do intellectual activities in the same way as humans The race for Artificial General Intelligence (AGI) is intensifying with OpenAI, supported by Microsoft, coming out with its newest version of an algorithm that can create life-like images based only on simple English description of the scene, and Google’sRead More

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More Than Just Machines – Part I

Part I: The Hardware Paradox Appropriately monetizing the transformation of machines beyond machinery is going to be key this coming decade With companies further up the transformation ladder delivering higher shareholder value over the past three years, the next decade’s industry winners are all set to “experiment aggressively in the ecosystem outside of their machinery.”Read More

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Wellbeing Now A Corporate Buzzword

Industry leaders are waking up to the fact that employee well-being needs to be a part of every corporate strategy It is a known fact that stress is a killer. Hundreds of studies have been conducted on how stress affects physical and mental wellbeing. At the physical level, it can lead to severe chronic ailments.Read More

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Data Scientist and Data Science Course Eligibility

Data Science can be defined by its characteristic mixture of scientific processes, mathematics and analytics, statistics, artificial intelligence, specialized programming, and general social observations that help unravel explanations for various business ideas based on the data. Data Science as a course is easily accessible for newer individuals willing to learn the trade and understand theRead More

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Is the Pandemic Economic Boom Over?

As the pandemic economy resets, tech layoffs rise and even start-ups are talking profit The exuberance of a pandemic-induced growth of tech companies and start-ups is facing a harsh reality check. Netflix is losing subscribers in hundreds and thousands; Zoom’s stock price is down over 80% from the pandemic highs; the nearly invincible Amazon announcedRead More

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What is linear discriminant analysis?

Linear Discriminant Analysis (LDA) is a linear model for classifying and dimension reduction. It is a technique for data categorization, dimension reduction, and visualization, most often used in pattern classification issues for feature extraction. When dealing with real-world classification issues, LDA is frequently the initial and benchmarking approach used before moving on to more sophisticatedRead More

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