TPOT: Automating ML Pipelines with Genetic Algorithms in Python
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
An HBR Executive exclusive Q&A with Zak Brown, CEO of McLaren Racing.
Every year, venomous snakes kill over 100,000 people and leave 300,000 more with devastating injuries — amputations, paralysis and permanent disabilities. The victims are often farmers, herders and children in rural communities across sub-Saharan Africa, South Asia and Latin America. For them, a snakebite isn’t just a medical crisis — it’s an economic catastrophe. Treatment hasn’t changed in over a century. Antivenoms — derived from the blood of immunized animals — are expensive, difficult to manufacture and often […]
Seriously, y’all are getting way too caught up in your feelings about this debate. submitted by /u/Bigger_Sherma [link] [comments]
Author(s): Manash Pratim Originally published on Towards AI. There’s a moment every engineer dreads. The dashboards are green. The alerts are silent. Everything looks calm until it isn’t. One minute your logs are flowing normally. The next minute, the system collapses like a badly timed Jenga tower. Image generated using AIThe article discusses the author’s experience creating a small Python agent that monitors system logs in real-time, catching issues before traditional monitoring tools can trigger alerts. By focusing […]
Google is closing an old gap between Kaggle and Colab. Colab now has a built in Data Explorer that lets you search Kaggle datasets, models and competitions directly inside a notebook, then pull them in through KaggleHub without leaving the editor. What Colab Data Explorer actually ships? Kaggle announced the feature recently where they describe a panel in the Colab notebook editor that connects to Kaggle search. From this panel you can: Search Kaggle datasets, models and competitions […]
How to keep moving forward when your organization’s strategy is evolving and conditions keep shifting.
New York’s future does not lie in further centralization or state control. Its vitality has always derived from individual freedom, entrepreneurial energy, and the rule of law. The Big Apple became great because it allowed people to build, innovate, and prosper—not because government directed them.
Artificial intelligence optimization offers a host of benefits for mechanical engineers, including faster and more accurate designs and simulations, improved efficiency, reduced development costs through process automation, and enhanced predictive maintenance and quality control. “When people think about mechanical engineering, they’re thinking about basic mechanical tools like hammers and … hardware like cars, robots, cranes, but mechanical engineering is very broad,” says Faez Ahmed, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT. “Within mechanical […]
The latest is Microsoft’s largest investment in Asia.