Learning machine learning can be challenging.
Selecting the Right Feature Engineering Strategy: A Decision Tree Approach
In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.
10 Python Libraries That Speed Up Model Development
Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.
Tokenizers in Language Models
This post is divided into five parts; they are: • Naive Tokenization • Stemming and Lemmatization • Byte-Pair Encoding (BPE) • WordPiece • SentencePiece and Unigram The simplest form of tokenization splits text into tokens based on whitespace.
Using Quantized Models with Ollama for Application Development
Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the model’s parameters (weights) — usually from 32-bit floating-point to lower representations like 8-bit integers.
A Gentle Introduction to SHAP for Tree-Based Models
Machine learning models have become increasingly sophisticated, but this complexity often comes at the cost of interpretability.
Word Embeddings in Language Models
This post is divided into three parts; they are: • Understanding Word Embeddings • Using Pretrained Word Embeddings • Training Word2Vec with Gensim • Training Word2Vec with PyTorch • Embeddings in Transformer Models Word embeddings represent words as dense vectors in a continuous space, where semantically similar words are positioned close to each other.
10 Python One-Liners That Will Simplify Feature Engineering
Feature engineering is a key process in most data analysis workflows, especially when constructing machine learning models.
ChatGPT-Maker OpenAI Expands Its Global AI For Impact Programme In India | Technology News
New Delhi: ChatGPT maker OpenAI on Tuesday announced the next phase of its global ‘AI for Impact Accelerator Programme’ in India, highlighting a year of support for mission-driven organisations using artificial intelligence to solve real-world social problems. As part of this initiative, 11 nonprofits will receive new API credits, bringing the total value of technical grants under this initiative to $150,000. OpenAI API credits function as a prepaid payment method which means instead of relying on monthly billing through a credit card, users can purchase credits in advance and use them as needed. This effort is now part of the broader ‘OpenAI Academy’, which aims to make AI more accessible, useful, and grounded in solving real challenges. Over the past year, Indian nonprofits supported through the programme have developed and deployed AI tools in critical sectors like healthcare, education, agriculture, disability inclusion, and gender equity — making a visible impact in underserved communities, according to the company. The programme is delivered in partnership with The Agency Fund, Tech4Dev, and Turn.io. It includes hands-on technical guidance, shared learning within a cohort, and early access to OpenAI’s tools. It also reflects OpenAI’s broader commitment to ensuring that AI benefits everyone, especially those in regions with fewer resources. As part of its support, OpenAI also hosted a workshop in India to showcase the capabilities of its latest AI models, helping these organisations design large-scale solutions. The initiative aligns closely with the ‘India AI Mission’, which aims to democratise access to AI, grow a strong ecosystem, and develop tech solutions tailored to India’s unique social and economic needs. The India cohort includes organisations tackling large-scale challenges with the help of AI. Pragya Misra, Policy and Partnerships Lead at OpenAI India, praised the Indian cohort for using AI in thoughtful and impactful ways. She said the organisations reflect the values of the India AI Mission and show how advanced technology can be used with empathy and creativity to solve tough problems. OpenAI plans to expand this initiative further in India, with new organizations expected to join the programme later this year. As it continues to grow its presence, OpenAI is shifting from just providing access to building real, on-the-ground impact — supporting practical, scalable, and human-centered AI solutions.
Tech Giant Sends Out Invites For Exclusive Preview On June 27; Check Expected Camera And Colour Options
Google Pixel 10 Series Launch: Google is likely to hold a ‘special event’ for the Pixel 10 series of smartphones, just days after The Android Show and Google I/O 2025, according to media reports. The Pixel 10 lineup is expected to include four devices: the regular Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, and Pixel 10 Pro Fold. During the special event, the tech giant is expected to launch its highly anticipated smartphones on August 13 at a ‘Made by Google’ event. However, fans won’t have to wait long, as the devices are expected to hit stores a week later, on August 20 reportedly. Google Invitation To Superfans Google has sent out invitations to Pixel Superfans to apply for a pre-launch Pixel Penthouse event, scheduled for June 27 in London. The invitation, shared by a publication, reveals that Superfans can apply to win one of 25 slots to attend the 1.5-hour-long event, enabling fans to experience the latest features and upgrades to Android 16 as well. The 1.5-hour session promises attendees hands-on access to unreleased Pixel hardware, Q&A interactions with Google employees, and Pixel-themed goodies reportedly. The last date to apply is June 4, and the winners are scheduled to be announced on June 11, as mentioned in the invite. However, the invitation doesn’t confirm which devices will be showcased. Historically, tech giant Google has unveiled its Pixel devices in October. However, it advanced the launch timeline last year for the Pixel 9 series, releasing it in August before Apple unveiled the iPhone 16 series. Google Pixel 10 Series: Expected Chipset And Colour Options Google’s upcoming Pixel 10 lineup is expected to be powered by the new Tensor G5 chipset. The standard Pixel 10 is rumored to launch in Blue, Limoncello (Yellow), Iris (Purple), and Obsidian (Black) color options. Meanwhile, the Pixel 10 Pro and Pixel 10 Pro XL may be offered in Green, Sterling (Grey), Porcelain (White), and Obsidian (Black) variants. However, rumors suggest that the Pixel 10 may feature a 48MP wide and a 13MP ultra-wide camera setup—similar to the Google Pixel 9a. This would be a downgrade from the 50MP and 48MP lenses found on the Pixel 9. Moreover, the Google Pixel 10 Pro and Pro XL are expected to retain the same 50MP + 48MP + 48MP triple-camera system seen on the current Pixel 9 Pro models.
