2021 Linear Algebra for Machine Learning

优秀的数据科学家熟悉机器学习库和算法。这类似于成为一名出色的飞机飞行员，拥有超越飞行和接近飞机机械师的技能。但要成为一名出色的数据科学家，这些技能必须超越机制，因此需要更深入的理解。

伟大的数据科学家知道这些库和算法是如何在幕后工作的。伟大的数据科学家了解科学背后的数学。随着技术的发展，算法本身可能会取代数据科学家的那一天。如果我们看一下我们最初的类比，这将类似于真正自己飞行的飞机。

我们还没有到那里，但在这种情况下，飞行员变得昂贵且过时。然而，永远不会过时的人是设计飞机的工程师或修理飞机的机械师。线性代数是机器学习的基石。线性代数不仅有助于提高对机器学习的直观理解。但是线性代数可以帮助机器学习工程师从零开始构建更好的机器学习算法，或者自定义所涉及的参数以优化算法。在本课程中，您将了解机器学习算法背后的线性代数。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 753 MB | Duration: 3h 17m

What you’ll learn
The applications to Machine Learning
The Fundamentals of Linear Algebra
Operations on a single matrices and multiple matrices
How to perform elementary row operations
Learn how to find the inverse Matrix
Learn how to solve systems of linear equations
Understand matrices as vectors and vector spaces
Will also study Linear combinations and span
As well as subspaces, null-space, basis, standard basis and more
Requirements
Familiarity with secondary-school-level mathematics.
Ability to perform basic mathematical operations on numbers and fractions.
Knowledge of how to solve linear equations.
Understanding of basic algebra concepts.
Description
Good data scientists are familiar with machine learning libraries and algorithms. It is akin to being an amazing pilot of an airplane, with skills that go beyond flying and borders an airplane mechanic. But to be a great data scientist, those skills will have to surpass the mechanics and thus require a greater understanding.

The great data scientist knows how those libraries and algorithms work under the hood. The great data scientist understands the mathematics behind the science. With the speed of technology, there may come a day when the algorithm itself replaces the data scientist. If we look at our original analogy, this would be akin to planes that truly fly themselves.

We are not there yet, but in this scenario the pilot becomes expensive and obsolete. However, the one person who is never obsolete is the engineer who designs the plane or the mechanic who fixes the plane. Linear Algebra is a cornerstone of machine learning. Linear Algebra not only helps improve an intuitive understanding of Machine learning. But Linear Algebra can help the machine learning engineer build better Machine Learning algorithms from Scratch or customize the parameters involved to optimize the algorithms. In this course you will learn about the Linear Algebra behind the Machine Learning Algorithm.

Who this course is for:
Students of Machine Learning
Students of Data Science
Students of Statistical Learning
Students of Linear Algebra
Students of Mathematics