Sage-Tips

Is statistics necessary for machine learning?

Statistics is generally considered a prerequisite to the field of applied machine learning. We need statistics to help transform observations into information and to answer questions about samples of observations.

Is machine learning just a new name for statistical learning?

Statistics is the field of mathematics which deals with the understanding and interpretation of data. Machine learning is nothing more than a class of computational algorithms (hence its emergence from computer science).

Is stats useful for AI?

Statistical methods must be considered as integral part of AI systems, from the formulation of the research questions, the development of the research design, through the analysis up to the interpretation of the results.

Will machine learning replace statistics?

This is caused in part by the fact that Machine Learning has adopted many of Statistics’ methods, but was never intended to replace statistics, or even to have a statistical basis originally. “Machine learning is statistics scaled up to big data” “The short answer is that there is no difference”

Is AI based on statistics?

Abstract: Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results.

Do I need to be good at math to do statistics?

To major in Statistics, yes you do. There are several situations that require you to use Calculus (and sometimes multivariable Calculus). If you are only taking a single elementary statistics course, than you don’t really need to be that good at math. You just need to understand some of the math notation they use (esp.

Is machine learning just glorified statistics or is It also architecture?

If machine learning is just glorified statistics, then architecture is just glorified sand-castle construction. I am, to be quite honest, tired of hearing this debate reiterated on social media and within my University on a near-daily basis. Usually, this is accompanied by somewhat vague statements to explain away the issue.

What is machine learning?

Machine learning sits on the bedrock of statistics. The basis of all modern learning algorithms is essentially Statistical Learning. Within the field of statistical learning, there is machine learning. A subset of machine learning includes deep learning → i.e., Statistical (Machine (Deep)) Learning.

Do you need statistics to learn machine learning?

Of course, machine learning doesn’t live in a world by itself. Again, in the real world, anyone hoping to do cool machine learning stuff is probably working on data problems of a variety of types, and therefore needs to have a strong understanding of statistics as well.

How old is the field of machine learning?

While not centuries old, machine learning is not new and has been researched extensively since the 1950s. It has come into prominence in the past two decades due to the exponential growth in data collection and increased computing power. How are statistics and machine learning related?

https://www.youtube.com/watch?v=ZqsnZX-p2qs