Sentences with phrase «how much experimentation»

If you're new to the gluten - free world you may or may not know, depending on how much experimentation you've done, that gluten - free bread doesn't react like gluten - full bread.

Not exact matches

Her «theory of mind» focuses on how children understand the minds of others and is based on the premise that children learn in much the same way as scientists do, through a process of active experimentation.

Figuring out how much you need to eat for you own unique body will require time and experimentation.

There's a lot of experimentation amongst all these companies to see how much people use < social networking sites >, what the size of the typical network grows to, and whether there is enough interaction between those networks to drive a real business model.

It opens up a whole new variety of activities and teaching methods, and much more room for experimentation and innovation in how classes are structured.

Taken together, Pimentel observed widespread experimentation, with most states tweaking how much the assessment counts in a teacher's annual evaluation, while others have delayed accountability measures for the foreseeable future.

Some situations are very difficult to tackle with a head - on assault or a hit - and - run attack, true, but the game at least gives you a chance: It has a sense of freedom and experimentation that we haven't seen in the series in almost a decade, and I didn't realize how much I'd missed it.

If you've read my reviews of other games, especially my review of Koudelka (here), you'll probably know how much I love experimentation when it comes to video game design.

I am just reiterating the concept so brilliantly defined by Feyman that a hypothesis, no matter how elegant the theoretical derivation and no matter from whom it came, isn't really worth very much unless it can be validated by empirical evidence, such as actual physical observation or reproducible experimentation.

Jennifer: Our go - to - market strategy, because we are still early stage, we've only been out operational for a little over a year, it's still very much focused on experimentation and testing and identifying the high opportunity channels, running tests there to understand what the R.O.I. looks like in that channel and how effectively we think we can scale in that channel, and then really doubling down on those.