I am using the machine learning algorithm i.e decision tree for my data set.what can I do to avoid over fitting?

How do I find the faces and edges of a 3D figure when the given vertices are 14?

How does a binary decoder works?

What is the number of possible quadrilaterals that can be made using the elements of an array?

What is a computer algorithm?

Where can I learn enough CS algorithms to allow me to look not totally ignorant if a light CS question came up in a data scientist interview?

Does a Facebook/Instagram UX/UI engineer need to know heavy Data Structures & Algorithms?

What machine learning algorithms can be used to detect topics from Twitter data?

What is the difference between the YDS and EDF algorithms?

Which is preferred for coding data structure and algorithm, Python or C++?

What are your experiences with bad algorithms?

While studying machine learning, should I focus more on the math or on the practical implementation of algorithms?

Is average case efficiency an average of worst-case and best-case efficiencies?

What is the instance of an algorithim? Is it the input?

What is meant by the binary representation of a string, i.e., for Hello 18576?

How can algorithmic or pattern trading generate profits when (weak-form) market efficiency theory argues that past price information is irrelevant?

What are the general algorithms used in stock selection (intra-day)? Is stochastic programming heavily used in hedge funds?

How much time will it take to process N bits of an N-bit CPU?

What is a binary cell?

Algorithms seem to be involved with many parts of our lives. What are they and how could I learn more?