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Problem Words
I often find mistakes related to the following words.
"etc."
Use "etc." (et cetera) to indicate that a list of examples is not exhaustive. Do not combine with "such as" or "e.g.", which already imply that a limited list of examples will follow.
… various methods, such as support vector machine, naive Bayes, random forest, etc., for machine learning …
… various methods, such as support vector machine, naive Bayes, and random forest, for machine learning …
… various methods (support vector machine, naive Bayes, random forest, etc.) for machine learning …
… various methods (e.g., support vector machine, naive Bayes, random forest) for machine learning …
"find out"
"find out" is often (incorrectly) used to mean "find", "determine", "calculate", "evaluate", etc.
We conducted an analysis to find out whether the logistic regression model … 

We conducted an analysis to examine whether the logistic regression model … 
Chen [1] used a model reduction approach to find out the optimal locations of piezoelectric actuators … 

Chen [1] used a model reduction approach to find the optimal locations of piezoelectric actuators … 
"for example"
I sometimes see "for examples". Even when multiple examples are given, use "for example".
For examples, a metric for evaluating displacement [2] and a digital image stabilization system [3] were proposed. 

For example, a metric for evaluating displacement [2] and a digital image stabilization system [3] were proposed. 
"approach"
I often see "approach to X" (X = a value).
… value approaches to the upper bound. 

… value approaches the upper bound. 
"equal"
The word "equal" can be used in two ways.
X is equal to Y. 

X equals Y. 
I commonly see "X equals to Y" or "X is equal Y".
… the current at position x equals to 0. 

… the current at position x equals 0. 
If the expression is equal 0, then … 

If the expression is equal to 0, then … 
"whether"
Usually "or not" is unneccesary.
It remains unclear whether or not the neural network parameterization converges to the globally optimal solution. 

It remains unclear whether the neural network parameterization converges to the globally optimal solution. 
"consist of"
"consist of" is used to list the components of a system. I often see "is consists of", which is incorrect.
A microfluidic device is consists of a chamber, a reservoir, and channels. 

A microfluidic device consists of a chamber, a reservoir, and channels. 
An alternative to "consists of" is "comprises" (note that "of" is not used with "comprises").
A microfluidic device comprises a chamber, a reservoir, and channels. 