Tech-savvy? Biz-Savvy?

本文探讨了开发者如何在职业生涯中实现从技术到商务领域的转变,并强调了在中国环境下这一转变所面临的挑战及背后的原因。

An IBM development VP recently answered an interview. One of the interview questions was that what suggestions he'd have for the mass of developers for them to become successful in their careers. The VP mentioned that one important factor was to become biz-savvy.

Well, I believe this holds true for the typical developers who enjoy caffeine and coding through the nights. They do need to look beyond their Dilbert stereotype and become a little bit more biz-savvy if they don't like pointy haired bosses to rule them.

But that also depends on who you are now and who you want to be.

I have personally seen more than a few great developers who shows excellent technical potential, and yet decided to do more business. They just became mundane business people.

This is especially a problem with the highly thriving and restless atmosphere in China. I grew up as a typical technical guy. So I can understand this increasingly heavy pressure from unnamable sources to developers. There are people who are making a lot and lot of money out there, by simply doing "business" stuff. Yet, developers are required to sit in small cubicles staring at computer screens all day while their bosses often don't show enough respect to them.

This is a different story in China than in the US or other western countries. In China, young people have to fight for existence first. Young graduates coming fresh out of school are pressed to find better paid jobs. Their families have spent years of family income for their education. The government doesn't pay for their unemployment. Their parents have retired, with little pension. Housing price has been skyrocketing. They will have to work for almost an entire life to afford a simple apartment. Everything is about money.

Yes, and it seems that the highest paid positions are in doing business. Everyone is talking about successful entrepreneurs. Everyone wants to do management.

I have interviewed dozens of students. And I can feel that for many of them, the sheer passion in technology is the least likely reason that they choose to become a developer. The valid reason is simply that being a developer has a steady pay at the moment. And many fresh employees eagerly seek to become "biz-savvy" even before they become "tech-savvy" enough. Because they believe they see more money in that.

What's the problem? Why are less-than-2-year-experience developers crazy about executive biographies and fancy marketing stories more than ingenious technical stuff? Why do CS majored students long for consulting jobs where software productivity is sarcastically measured by lines of code?

Someone has to fix this problem in China. And I believe it's the employers themselves' responsibility to do so. Treat your developers fair first, before you even dream about your master business plan. Without the tech-savvy folks, nothing will be realized.

内容概要:本文介绍了基于贝叶斯优化的CNN-LSTM混合神经网络在时间序列预测中的应用,并提供了完整的Matlab代码实现。该模型结合了卷积神经网络(CNN)在特征提取方面的优势与长短期记忆网络(LSTM)在处理时序依赖问题上的强大能力,形成一种高效的混合预测架构。通过贝叶斯优化算法自动调参,提升了模型的预测精度与泛化能力,适用于风电、光伏、负荷、交通流等多种复杂非线性系统的预测任务。文中还展示了模型训练流程、参数优化机制及实际预测效果分析,突出其在科研与工程应用中的实用性。; 适合人群:具备一定机器学习基基于贝叶斯优化CNN-LSTM混合神经网络预测(Matlab代码实现)础和Matlab编程经验的高校研究生、科研人员及从事预测建模的工程技术人员,尤其适合关注深度学习与智能优化算法结合应用的研究者。; 使用场景及目标:①解决各类时间序列预测问题,如能源出力预测、电力负荷预测、环境数据预测等;②学习如何将CNN-LSTM模型与贝叶斯优化相结合,提升模型性能;③掌握Matlab环境下深度学习模型搭建与超参数自动优化的技术路线。; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,重点关注贝叶斯优化模块与混合神经网络结构的设计逻辑,通过调整数据集和参数加深对模型工作机制的理解,同时可将其框架迁移至其他预测场景中验证效果。
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