GRE Quantitative Syllabus consists of Algebra, Arithmetic, Geometry and Data Interpretation.

2 Common Mistakes you need to avoid in GRE Quant are: Calculation Mistakes and Conceptual Mistakes.

Silly mistakes fall under the 1^{st} type. You make mistakes during the Calculation of the terms which are not asked. That means, You didn’t follow the Question properly.

Example If the Question is asked to calculate X^{3 }and you mark the answer as soon as you calculate the X.

In the 2^{nd} type, if you are not clear with the Concepts, these types of Mistakes occur. These types of mistakes can be seen with the Aspirants while attending Geometry questions.

Find the below GRE FAQs useful.

**I am not that good in Mathematics. Can i pursue ML as my specialization..???**

While machine learning uses a lot of tools, it does not require you to be strong at the mathematics you generally come across in high school or engineering. You need a basic understanding of how algorithms work and how to develop algorithms from scratch. ML requires you to understand how each block of code works and how you can build systems.

The real ability that you need to be good at ML is data analysis. There are many tools that can do the math for you.

However, you need to be able to learn some required concepts of mathematics on -the-go. You will need some specific mathematics to implement a particular technique. Some important concepts are Linear Algebra, Probability and Statistics.

Most of your work requires data preparation, data analysis and visualizing results in data.

**What are the pros and cons of fall and spring intake?**

Generally, the pros of applying for the Fall intake outweigh that of Spring.

It is a widely accepted fact that the number of courses available is higher for Fall intake. Hence, the number of students admitted into programs is also higher. This is good news for those who have slightly lower GRE scores because there is a much better chance to get into your dream university during Fall.

Also, the funding options and resources are much more easily available during Fall as on-campus jobs, teaching assistantships and research assistantships are more readily available in Fall, leaving you with little or no jobs during Spring.

Also, the in order to apply for an internship outside college, you need to study at the university for a minimum of 9 months. These criteria will not be met if you join in Spring.