Learning how to learn: How to teach yourself。

本文介绍了一个有效的自我学习方法,分为十个步骤。前六个步骤包括获取全局视角、确定范围、定义成功标准、查找资源、制定学习计划及筛选资源;后四个步骤则侧重于实践,包括学习起步知识、实践操作、学习实用技能并最终教授他人。本文强调了通过实践和教授来巩固学习成果的重要性。

Learning how to learn: How to teach yourself。


10-step process:


Steps 1–6: Do these once


Step 1: Get the big picture


Step 2: Determine scope


Step 3: Define success


Step 4: Find resources


Step 5: Create a learning plan


Step 6: Filter resources



Steps 7–10: Repeat these


Step 7: Learn enough to get started


Step 8: Play around


Step 9: Learn enough to do something useful


Step 10: Teach


Tell me and I forget. Teach me and I remember. Involve me and I learn.

                                                                                  —Benjamin Franklin


From:  Manning.Soft.Skills pdf




As an AI language model, I can suggest the following steps to learn deep learning: 1. Learn the basics of machine learning: Before diving into deep learning, it is essential to understand the basics of machine learning, including supervised and unsupervised learning, regression, clustering, and classification. 2. Learn programming languages: To work with deep learning, one needs to have a strong foundation in programming languages such as Python and R, as most of the deep learning libraries are written in these languages. 3. Understand the mathematics behind deep learning: Deep learning involves a lot of math, including linear algebra, calculus, and probability. Understanding these concepts will help you better understand the algorithms used in deep learning. 4. Choose a deep learning framework: Popular deep learning frameworks include Tensorflow, Keras, PyTorch, and Caffe. Choose one and learn it. 5. Practice with datasets: Work with datasets to understand how deep learning works in practice. Kaggle is a great platform to get started with real-world datasets. 6. Read research papers: Read research papers to stay up-to-date with the latest advancements in deep learning. 7. Join communities: Join online communities such as Reddit, Discord, or GitHub to connect with other deep learning enthusiasts and learn from them. 8. Build projects: Building projects is the best way to learn deep learning. Start with simple projects and gradually move on to more complex ones. Remember, deep learning is a vast field, and it takes time and effort to master it. Keep practicing, and you will get there.
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