You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Most routine tasks that everyone can do are impossible to automate with current ML technology, even after spending millions of dollars to collect training data
Although "impossible to automate with ML" doesn't mean "impossible to automate". I'd say most things are still automatable -- by having human engineers handcraft complex software to handle each task. Which can be enhanced with ML, if need be
An example of this is Facebook discarding its M assistant project. The plan was to start with a Wizard of Oz, and collect tons of queries (with the steps to answer them), to eventually train a supervised model to answer the most common queries. Sounds clever, but it doesn't work
Another example is self-driving. You can automate driving, but not with an end-to-end ML system. The variability of real-world situations just cannot be handled by a system that merely pattern-matches with the past
Personally I like Andrew Ng's saying that "we're at the point where if someone can do a task in one second or less, that task can most likely be automated."
*requires less than one second of thought
Almost everything humans do. For example, no robot based on current ML can walk into a generic kitchen and fix a cup of coffee or do anything useful at all.
and why do you think this is so? #DataLover
What is your take on RL and why did you skip it in your book?
Is there a "but"?... "ML can automate some complex tasks that humans don't have time or capability to do"
Understanding of where DL can fit within a business process is extremely shallow. For a deeper understanding, read: https://gumroad.com/products/WRbUs #deeplearning #ai
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
