in some interesting conversations recently about designing LLM-based tools for end users, and one of the important product design questions that this brings up is “what do people know about AI?” This matters because, as any product designer will tell you, you need to understand the user in order to successfully build something for them …
Understanding the Generative AI User | Towards Data Science Read More »
Image by Author Contents# Introduction# 1. Automatic File Organizer# 2. Batch File Renamer# 3. Smart Backup Manager# 4. Duplicate File Finder# 5. Desktop Screenshot Organizer# Wrapping Up # Introduction We all have those tasks that eat up our time without adding real value. These include sorting downloaded files, renaming photos, backing up folders, clearing out clutter, and performing the same little maintenance …
5 Useful Python Scripts to Automate Boring Everyday Tasks Read More »
Today, we’re expanding the Gemini 3 model family with the release of Gemini 3 Flash, which offers frontier intelligence built for speed at a fraction of the cost. With this release, we’re making Gemini 3’s next-generation intelligence accessible to everyone across Google products. Last month, we kicked off Gemini 3 with Gemini 3 Pro and …
Introducing Gemini 3 Flash: Benchmarks, global availability Read More »
fascinating aspects of time series is the intrinsic complexity of such an apparently simple kind of data. At the end of the day, in time series, you have an x axis that usually represents time (t), and a y axis that represents the quantity of interest (stock price, temperature, traffic, clicks, etc…). This is significantly …
A Practical Toolkit for Time Series Anomaly Detection, Using Python Read More »
Image by Author Contents# Introduction# 1. n8n# 2. Zapier# 3. Make# 4. Microsoft Power Automate# 5. ClickUp# Summary # Introduction Automation can benefit professionals across various fields, including project managers, analysts, and solo founders. We all face repetitive digital tasks that consume our time, such as gathering data from the web, cleaning and standardizing it, updating spreadsheets, and creating clear, actionable reports. …
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Today, we’re announcing an expanded partnership with the UK AI Security Institute (AISI) through a new Memorandum of Understanding focused on foundational security and safety research, to help ensure artificial intelligence is developed safely and benefits everyone. The research partnership with AISI is an important part of our broader collaboration with the UK government on …
Deepening AI Safety Research with UK AI Security Institute (AISI) Read More »
With Logistic Regression, we learned how to classify into two classes. Now, what happens if there are more than two classes. n is simply the multiclass extension of this idea. And we will discuss this model for Day 14 of my Machine Learning “Advent Calendar” (follow this link to get all the information about the …
The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel Read More »
Image by Author Contents# Introduction# 1. Frozen Data Classes for Hashability and Safety# 2. Slots for Memory Efficiency# 3. Custom Equality with Field Parameters# 4. Factory Functions with Default Factory# 5. Post-Initialization Processing# 6. Ordering with Order Parameter# 7. Field Ordering and InitVar# When Not to Use Data Classes# Conclusion # Introduction Standard Python objects store attributes in instance dictionaries. They are not hashable unless …
ContentsWhat customers are sayingLive Speech Translation What customers are saying Google Cloud customers are already using Gemini’s native audio capabilities to drive real business results, from mortgage processing to customer calls. “Users often forget they’re talking to AI within a minute of using Sidekick, and in some cases have thanked the bot after a long …
Gemini 2.5 Native Audio upgrade, plus text-to-speech model updates Read More »
Linear Regression, finally! For Day 11, I waited many days to present this model. It marks the beginning of a new journey in this “Advent Calendar“. Until now, we mostly looked at models based on distances, neighbors, or local density. As you may know, for tabular data, decision trees, especially ensembles of decision trees, are …
The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel Read More »
