Recommend several work efficiency artifact, as long as the use of computer work are applicable, can greatly improve work efficiency.
The equipment mentioned in this article has been tried by myself, and all the prices are from JINGdong website. It is recommended to buy the equipment according to your own economic conditions (theoretically, the more expensive the better). It is not recommended to buy the equipment lower than the equipment configured in this article.
No.1 Dual-screen display ****
I feel this can greatly improve work efficiency, using the laptop video interface, connected to a 24 inch monitor, dual-screen display mode recommended to use the expansion mode.
It is also possible to connect two monitors on a desktop computer, which has multiple video interfaces (HDMI, DP, etc.) as long as it is independent of the graphics card. \
While working, you can drag some content to another monitor to display. \
Using dual screens allows us to consciously separate our work into blocks, which does improve productivity to some extent.
Recommended monitor: \
Introduction: DELL P2419h about 1069 yuan, DELL monitor look for a long time the eyes are not tired, and DELL monitor screen can lift, can also be rotated 90 degrees (vertical screen is very convenient to see the paper). \
Advanced: can choose larger, such as 27 inch, 32 inch monitor, distribution rate of 2K or 4K. Theoretically, the same brand, the more expensive the better, tuhao please feel free. \
No.2 Sensitive mouse \
A mouse that is sensitive and can change resolution is important for productivity. \
Entry level:
Logitech G102 109 yuan, a prerequisite for entry, can adjust 200-8000DPI resolution, with good. \
Advanced:
Or recommend logitech, logitech G series, are very good. \
No.3 Note-taking software \
Recommendation: \
Evernote, the general version of free, basic can meet, evernote is a very powerful function is web crawling, very intelligent, basic can capture useful content. \
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Site introduction ↓↓↓
“Machine Learning Beginners” is a personal public account to help artificial intelligence enthusiasts get started (founder: Huang Haiguang)
Beginners on the road to entry, the most need is “help”, rather than “icing on the cake”.
ID: 92416895\
Currently, the planet of Knowledge in the direction of machine learning ranks no. 1.
Past wonderful review \
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Conscience Recommendation: Introduction to machine learning and learning recommendations (2018 edition) \
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Github Image download by Dr. Hoi Kwong (Machine learning and Deep Learning resources)
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Printable version of Machine learning and Deep learning course notes \
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Machine Learning Cheat Sheet – understand Machine Learning like reciting TOEFL Vocabulary
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Introduction to Deep Learning – Python Deep Learning, annotated version of the original code in Chinese and ebook
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The mathematical foundations of machine learning
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Machine learning essential treasure book – “statistical learning methods” python code implementation, ebook and courseware
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Blood vomiting recommended collection of dissertation typesetting tutorial (complete version)
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Installation of Python (Anaconda+Jupyter Notebook +Pycharm)
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What if Python code is ugly? Recommend a few artifacts to save you
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Blockbuster | complete AI learning course, the most detailed resources arrangement!
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