Category: Data science
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Google Nest Hub- Best Smart Home in 2025
<Introduction> A smart home is a home-level communication environment that is controlled by a network. It amazes us because they improve our quality of life in various aspects as convenience, enhanced security, and energy saving. It is particularly attractive that individuals can receive services that are customized to their life patterns through artificial intelligence technology.…
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Data Warehouse, Data Lake and Data Lakehouse: Why it’s crucial to know them as Data Scientist
In today’s data-driven economy, managing and analyzing vast amounts of information efficiently is critical for organizations across all industries. As data becomes more complex and voluminous, there would be a limitation to processing and storing the data manually. Hence, three core storage paradigms have emerged to support modern analytics: Data Warehouse, Data Lake, and Data…
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DeepSeek: New threat in tech industry
As every day passes, we can see how competitive the market competition between new generative AI models is. Companies are looking for robust yet cost-efficient models that can reduce costs on the production side. Despite ChatGPT being an undeniable no.1 model in the generative AI industry, a new threat named “DeepSeek” is trying to take…
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“NEW Dawn of AI: Transforming Generative AI into Autonomous Thinkers”
Reading the “Generative Agents: Interactive Simulacra of Human Behavior” paper by Joon Sung Park, a PhD student in computer science at Stanford University, inspired me to conduct a more in-depth analysis and study on “AI Agent.” Recently, Google unveiled an AI agent based on Gemini 2.0, and Microsoft developed Magentic-One&Co-pilot Vision. As seen from examples…
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Amazon vs. eBay: Who Dominates Australia’s Online Marketplace?
The Australian e-commerce market has witnessed transformative growth over the past decade. This blog will explore this rapidly evolving industry’s key trends, market dynamics, and future, mainly focusing on stakeholder analysis. Australian consumers are increasingly shifting their retail activities online. In 2023, 93% of online shoppers purchased from platforms like Amazon, eBay, Catch, and emerging…
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ML evaluation – Confusion Matrix
Machine Learnings are utilized when there’s a large amounts of data that needs to be processed and analyzed for particular usage, to analyze various patterns, make predictions based on the training data. In real life, we use machine learning across different sectors of industries, such as retails, E-commerce, education, entertainment to manufacturing. Moreover, it also…
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All about “Cybersecurity” – concepts and examples explained.
<What is cybersecurity?> As the word ‘cybersecurity’ may sound self-explanatory, it means maintaining security within ‘cyberspace.’ Hence, it is the proactive approach to protecting computer software systems and networks from threats. Its importance has rapidly increased over the past few years due to the advancement of cyberspace and data within data science. Many MNCs worldwide…
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What is ‘R’ language? – Key concept&Real life examples explained
If you are interested in the data science industry, you may have heard of Python, Java, or C. But R may sound relatively unfamiliar. In today’s blog, we will discover what R is and how efficiently it can be utilized across various fields of study. R is a programming language and software environment for statistical…
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How Netflix utilizes data science and became so popular
By leveraging data science to create a personalized and engaging user experience, Netflix has become a global streaming powerhouse. The company’s success is primarily attributed to its sophisticated recommendation system, which uses machine-learning algorithms to analyze vast amounts of user data and predict viewer preferences for customized user experiences. At the heart of Netflix’s data…
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The Great Fall: Decoding the CrowdStrike-Microsoft Outage of July 2024
On July 18, 2024, the digital world experienced a significant disruption known as “The Great Fall,” when a global outage affected millions of users and brought critical services to a standstill. The root cause of this widespread issue was traced back to a software update from the cybersecurity company CrowdStrike.The incident originated from a null…