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Are you following the trend or genuinely interested in Machine Learning? Either way, you will need the right resources to TRUST, LEARN and SUCCEED. If you are unable to find the right Machine Learning resource in 2026? We are here to help. Let’s reiterate the definition of Machine Learning… Machine learning is an exciting field
50+ Machine Learning Resources for Self Study in 2026 Read More »
On Saturday, tech entrepreneur Siqi Chen released an open source plugin for Anthropic’s Claude Code AI assistant that instructs the AI model to stop writing like an AI model. Called “Humanizer,” the simple prompt plugin feeds Claude a list of 24 language and formatting patterns that Wikipedia editors have listed as chatbot giveaways. Chen published
In this tutorial, we build a production-grade tabular machine learning pipeline using AutoGluon, taking a real-world mixed-type dataset from raw ingestion through to deployment-ready artifacts. We train high-quality stacked and bagged ensembles, evaluate performance with robust metrics, perform subgroup and feature-level analysis, and then optimize the model for real-time inference using refit-full and distillation. Throughout
Liquid AI has released LFM2.5-1.2B-Thinking, a 1.2 billion parameter reasoning model that runs fully on device and fits in about 900 MB on a modern phone. What needed a data center 2 years ago can now run offline on consumer hardware, with a focus on structured reasoning traces, tool use, and math, rather than general
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.“We demonstrate that even when you train models on large amounts of data, and choose the
Why it’s critical to move beyond overly aggregated machine-learning metrics Read More »
Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers can execute. It targets a long standing bottleneck in operations research, where translating business intent into mixed integer linear programs usually needs expert modelers and days of work. What OptiMind Is
In this tutorial, we build a hands-on comparison between a synchronous RPC-based system and an asynchronous event-driven architecture to understand how real distributed systems behave under load and failure. We simulate downstream services with variable latency, overload conditions, and transient errors, and then drive both architectures using bursty traffic patterns. By observing metrics such as
Imagine stepping into your first data science interview—your palms are sweaty, your mind racing, and then… you get a question you actually know the answer to. That’s the power of preparation. With data science reshaping how businesses make decisions, the race to hire skilled data scientists is more intense than ever. For freshers, standing out
Top 100 Data Science Interview Questions and Answers (2026 Edition) Read More »
On Friday, OpenAI announced it will begin testing advertisements inside the ChatGPT app for some US users in a bid to expand its customer base and diversify revenue. The move represents a reversal for CEO Sam Altman, who in 2024 described advertising in ChatGPT as a “last resort” and expressed concerns that ads could erode
OpenAI to test ads in ChatGPT as it burns through billions Read More »
On Thursday, Taiwan Semiconductor Manufacturing Company (TSMC) reported record fourth-quarter earnings and said it expects AI chip demand to continue for years. During an earnings call, CEO C.C. Wei told investors that while he cannot predict the semiconductor industry’s long-term trajectory, he remains bullish on AI. TSMC manufactures chips for companies including Apple, Nvidia, AMD,
TSMC says AI demand is “endless” after record Q4 earnings Read More »
