保研竞争不过班委和绩点高的人,目前也没有考研的打算.双非本科已经狠狠上debuff了,如果考研再考不到好学校甚至失败,这代价实在不敢冒险.综上所述,多打竞赛,搞项目找实习积累工作经验似乎是目前最好的打算了.上高数课时实在听不进去思考了以上问题. 多学点将来能用到的技术,看些感兴趣的书,确保不挂科,大学也就这样了.

说起来,有个很大的坏习惯:想要做什么事时记下来后一直拖着没处理(FE,想要在闲下来的时候练练书法,便在待办事项中记下”在Notion中记些四级作文素材,练习用”,却一拖再拖).还是要每天都都要把该处理的事搞完,事务缠身导致心烦意乱.

每当思考花这么多时间在刷算法题上有没有意义时,不如换种角度:与那些花在为学分而学的课(高数线代还是要认真学的)上的时间相比,这不是超值的么.

说什么机器学习,人类学习也是按照”算法”来的嘛,根据经验来找到最高效的学习方法,在学习中模仿例题解决问题,总结,不断训练. 感觉机器学习就是让计算机按照”学习算法”来像人类一样学习.

When you don’t know what to do, just think: you don’t need to know anything, you just need to start.

  • Overcoming Fear of the Unknown:

    The statement acknowledges the common feeling of uncertainty when facing a new task or project.

    It suggests that the fear of not knowing everything is often a barrier to starting.

  • Focus on Action:

    The phrase prioritizes the act of starting over acquiring perfect knowledge.

    It implies that the initial steps, even if imperfect, are more valuable than prolonged contemplation.

  • Building Momentum:

    By taking the first step, individuals gain momentum and can learn as they go.

    The initial action can provide valuable insights and direction.

  • Embracing Imperfection:

    The message encourages a mindset of accepting imperfection and learning from mistakes.

    It suggests that striving for perfection can lead to inaction, while starting allows for continuous improvement.

  • Starting Small:

    Many resources emphasize the importance of starting small and focusing on incremental progress. This can make the initial task less daunting and more manageable.

今天写一道题挣扎了两个多小时, AC后去观摩其他人的题解,只有十几二十行简短的代码直接呼脸上,言语之中透露出感觉很简单的语气,不禁难受到轻哼起来.