Urgent.News

What's breaking now, across thousands of outlets.

Tech

How to watch Bayern Munich vs. Borussia Dortmund online for free

How to watch Bundesliga for free. Live stream Bayern Munich vs. Borussia Dortmund in the Bundesliga for free from anywhere in the world.

How to watch Bayern Munich vs. Borussia Dortmund online for free

The upcoming Bundesliga match between Bayern Munich and Borussia Dortmund will take place at the Allianz Arena, with kickoff scheduled for 1:30 p.m. ET on October 31st. The two teams are currently tied on points after seven rounds of fixtures, making this clash a crucial opportunity to decide the top spot. Bayern Munich's Harry Kane might be the key to securing victory for the hosts.

To watch this exciting match for free, simply subscribe to CazéTV, which is the authorized streaming platform broadcasting the game. However, you'll need a VPN service to bypass geo-restrictions and access the live stream from anywhere in the world. ExpressVPN is highly recommended, offering servers in Brazil and a fast, reliable connection for seamless streaming. Sign up for ExpressVPN, download the app, connect to a Brazilian server, and enjoy the match on CazéTV.

Written by urgent.news from Mashable's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at mashable.com →

More in Tech

Costco Reveals Its Full Black Friday Ad and Sale Dates for 2026

Costco has officially revealed its annual Holiday Savings ad and you can already start browsing what will be discounted this year. Similar to other retailers, Costco is offering multiple waves of savings leading up to Black Friday and Cyber Monday . The first wave of sales kicked off on October 30 and will run through November 15.

Kernel Mean Embeddings: Turning Distributions into Points You Can Compute With

Most of machine learning is built around points. A data point is a vector, a model maps vectors to predictions, and distance between vectors tells you how similar two examples are. Distributions are harder. A distribution is not a point, it is a whole object: a function, a measure, a cloud of possible outcomes.

  • Kernel mean embeddings represent distributions as single points in high-dimensional function space.
  • Kernel function measures similarity between points, enabling operations on distributions as points.
  • Expectations of functions can be computed using inner products with kernel mean embeddings.

More from Saturday 31 October →