Everything! This is probably the most comprehensive interview notes of AI

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Heavy dry goods, the first time served

Today to recommend a very comprehensive collection of AI interview notes, contained in 2018,2019 school recruit, recruit spring, autumn trick. Covering natural language processing (NLP), deep learning (Deep Learning), Machine Learning (Machine Learning), C, C ++, Python, interview notes and so on.

First put the interview notes online address:

https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese

The GitHub interview notes highlights the roadmap:

From the content, the total is divided into eight major modules, namely: machine learning, deep learning, natural language processing, computer vision, mathematics, algorithms, programming languages, written by plane.

The following describes in detail!

1. Machine Learning

Machine learning part mainly related to: machine learning based on machine learning practice, machine learning algorithms, integrated study four modules.

For example, the theoretical part will introduce common machine learning theoretical knowledge of mathematics, such as the relationship between bias and variance of the difference.

Machine learning practice based on practice, introduce the machine to learn some tuning tips, and how to build a complete machine-learning projects.

2. deep learning

Depth study section mainly related to: learn basic depth, the depth of study and practice, CNN, RNN, optimization algorithms, sequence modeling module.

Theoretical part describes the common knowledge of the depth of learning, such as activation functions, methods of preventing over-fitting and so on.

3. Written by plane

Written by some of the major surface involves major long pen questions, including: Baidu, Tencent, byte beating, deft, iQIYI and so on.

Written by the face, a face questions answered basic points are:

What is
Why (motivation)
How do (principle)
scenes to be used
Some details (if used words)

Introduced a headline / byte beating - depth learning / NLP direction of the interview experience:

Interview notes on the back of this there are many rich content, the reader is advised to obtain their own on GitHub, here it is not introduced one by one.

Finally, once again put the address of the AI interview notes:

https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese

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