An Australian tourist describes seeing one of the landslides behind him and running from it.

Australian police say a shooting at Bondi Beach, which killed 12 people - including one gunman - targeted the Jewish community on the first day of Hanukkah. Twenty-nine people were injured, with a second gunman in critical condition. Drone footage appears to show a gunman firing from a bridge in a nearby carpark. In the wake of a recent fatal shark attack, the BBC is off the coast in Sydney to learn how authorities are trying to protect people. The BBC's Katy Watson was in the courtroom as Erin Patterson was sentenced to life.

Officials had to close Mullaloo Beach in Perth, Western Australia, for the second time in a week on Monday, January 9, after a tiger shark was spotted swimming close to the shore. Check out this video, taken from a drone. A 16-year-old girl died after a shark mauled her while swimming in the Swan River in Australia, with only a teen diving in to save her as others watched in horror. "A female received injuries after being bitten by an unknown species of shark at approximately 3.35pm on Feb. 4 2023," the Department of Primary Industries and Regional Development (DPIRD) said of the incident. "DPIRD is working with WA Police and local authorities to coordinate responses. A DPIRD Fisheries vessel is on the water monitoring the area, and DPIRD officers are conducting land-based patrols."

While interpreting the coefficient of one of the predictors (say a continuous variable X1) of an empirical model -- with multiple explanatory variables (X1, X2, …..Xn) predicting the value of an outcome variable (Y) -- you must have used these statements: "controlling for other factors/holding other factors constant/accounting for other factors/keeping other factors fixed, one unit increase in X1 is, on average, associated with b units increase in Y." But what exactly does it mean to control for a variable/hold a variable constant/account for a variable/keep a variable constant? In retrospect, I think the confusion originated because I thought regression is about fitting a straight line through some dots (which is correct but there are other ways of conceptualizing regression). In this article, using an intuitive toy example, I will try to answer these questions. I am intentionally using MS Excel for this article.

Salesforce is backing an AI project called SharkEye which aims to save the lives of beachgoers from one of the sea's deadliest predators. Shark attacks are, fortunately, quite rare. However, they do happen and most cases are either fatal or cause life-changing injuries. Just last week, a fatal shark attack in Australia marked the eighth of the year--an almost 100-year record for the highest annual death toll. Once rare sightings in Southern California beaches are now becoming increasingly common as sharks are preferring the warmer waters close to shore.

Big data is suddenly everywhere. From scarcity and difficulty to find data (and information), we now have a deluge of data. In recent years, the amount of available data has been growing in an exponential pace. This is in turn made possible due to the immense growth in number of devices recording data, as well as the connectivity between all these devices through the internet of things. Everyone seems to be collecting, analyzing, making money from and celebrating (or fearing) the powers of Big data. By combining the power of modern computing, it promises to solve virtually any problem - just by crunching the numbers.

Big data is suddenly everywhere. From scarcity and difficulty to find data (and information), we now have a deluge of data. In recent years, the amount of available data has been growing at an exponential pace. This is in turn made possible due to the immense growth in number of devices recording data, as well as the connectivity between all these devices through the internet of things. Everyone seems to be collecting, analyzing, making money from and celebrating (or fearing) the powers of Big data.

The two biggest problems are as follows. First, the predictive power of the Model is always lower than what we'd like it to be. The question is what can be done to boost the predictive power of the model and what the odds of success are. Second, the model does not explain its reasoning. It is up to us to understand why it does what it does.

It's a type of fish, this one several feet long, with rows of sharp, serrated teeth that it uses to clamp down on prey. Sharks, specifically great whites, were catapulted into the public eye with the release of the film Jaws in the summer of 1975. The film is the story of a massive great white that terrorizes a seaside community, and the image of the cover alone--the exposed jaws of a massive shark rising upward in murky water--is enough to inject fear into the hearts of would-be swimmers. Other thrillers have perpetuated the theme of sharks as villans. We're going to need a bigger boat: Take a look at the design history of Jaws and its iconic cover https://t.co/dRdRPILF7L

Drones using artificial intelligence will be deployed off beaches in New South Wales, Australia, to detect sharks and warn swimmers. The new drones will patrol beaches and use artificial intelligence to detect sharks in the water. It's not the first time drones have been used in Australia to detect sharks, but what makes the new drones interesting is that they do not rely on human operators controlling the drones to look for sharks. Instead, they use artificial intelligence software so they can spot sharks by themselves. To improve the results, additional software is also deployed to analyze the video feed from the drones to doubly make sure that sharks aren't missed.