When comparing **MIT OCW: Linear Algebra 18.06** vs **Lemma: Linear Algebra**, the Slant community recommends **Lemma: Linear Algebra** for most people. In the question**“What are the best resources to learn linear algebra?”** **Lemma: Linear Algebra** is ranked 6th while **MIT OCW: Linear Algebra 18.06** is ranked 7th. The most important reason people chose **Lemma: Linear Algebra** is:

For every lesson, it has a "worksheet" where you can attempt to solve problems in the set. And for each problem, there's a "check" button where you can see if it's right or not, and also there're "hint" and "solutions" for each problem. The website also uses the "smart textbox" for entering equations conveniently like what Khan academy does.

#### Ranked in these QuestionsQuestion Ranking

#### Pros

### Pro Most recommended course by people

It's always the first option others recommend you while you're searching how to learn linear algebra.

### Pro More perspectives

It gives you a lot of "Ah" moments for understanding concepts in many different perspectives, like "dot product" in physics and in business.

### Pro Rich practice in Khan Academy style

For every lesson, it has a "worksheet" where you can attempt to solve problems in the set. And for each problem, there's a "check" button where you can see if it's right or not, and also there're "hint" and "solutions" for each problem.

The website also uses the "smart textbox" for entering equations conveniently like what Khan academy does.

### Pro Very well completed in content

Explicit in content for pretty much everything you need to learn about Linear algebra.

#### Cons

### Con Really hard to catch on

With only high school graduate math level, and average IQ, it's really hard to follow its pace either with the video lecture or the course book.

### Con Free for a course but need to buy course book

The hard copy of its course book is not cheap, and PDF version is hard to find.

### Con Teaching skills need to be improved

### Con Too much "Polynomial vectors"

He's mixing too much things out of core ideas of Linear algebra, which leads to confusion.