What do you do if you want to enhance your machine learning skills by seeking feedback from your boss?

Choose a job where your boss (or other team members) can teach you new things that will help you grow your skillset -- don't just consider salary and fame. Knowing what you want to learn in a position, is the first step to preparing how you seek helpful feedback from your boss regarding your machine learning skills.

Once you've identified areas for improvement, approach your boss with a clear and concise request for feedback. Be open to constructive criticism and ready to discuss potential solutions. Additionally, demonstrate your commitment to growth by actively implementing the feedback you receive. This proactive approach not only enhances your ML skills but also showcases your dedication and professionalism.

You can start with talking about the challenge and what you have done to address it. What are some of the measures you took, even if unsuccessful, it is necessary to demonstrate that you tried. If you know why it failed you can bring that up and discuss with your manager how they can help you with resources or guidance to overcome the hurdles. Also good to have some potential solutions at hand so that it shows that you are coming with solutions too and not just problems.

I would initiate a conversation to discuss my current projects and any machine learning tasks I'm involved in. I would specifically inquire about areas where I can improve or areas where my contributions could be more impactful. By actively seeking feedback, I'll be demonstrating a proactive approach to my professional development and showing my commitment to continuously improve my machine learning skills. Additionally, I would be open to constructive criticism and use the feedback received to refine my techniques, enhance my understanding of machine learning concepts and ultimately contribute more effectively to the team's goals.

Before approaching your boss for feedback on your machine learning skills, ensure that you are well-prepared. Gather examples of your recent machine learning projects or work that you'd like to discuss. Prepare specific questions or areas where you are seeking feedback, such as model performance, data preprocessing techniques, model selection, or any other relevant aspect.

One useful tip is to check your boss's calendar. Some days will be more busy for them than others. Try to choose a time not immediately before the lunch hour and send a message with the calendar invite where you mention that if the time doesn't work for them, they can suggest another time. This shows that you are being mindful of their schedule and not imposing any commitments.

Choose an appropriate time to discuss your machine learning skills with your boss. Avoid moments of high stress or when your boss is busy with critical tasks. If possible, schedule a dedicated meeting or ask for a brief moment when your boss is available to provide feedback.

Escolher um momento adequado garante que ambas as partes possam se envolver na conversa sem distra??es, permitindo uma discuss?o mais aprofundada e produtiva. Além disso, demonstra respeito pelo tempo e agenda do seu chefe, refletindo seu profissionalismo e aumentando a probabilidade de uma resposta positiva e útil.

Clearly articulate your goals and objectives for seeking feedback. Explain how improving your machine learning skills aligns with your role, team objectives, or company goals. Share your enthusiasm for learning and growing in the field of machine learning.

Ao entender suas metas futuras, seu chefe pode adaptar seus conselhos para n?o apenas melhorar seu desempenho atual, mas também para ajudá-lo a desenvolver as habilidades necessárias para alcan?ar suas aspira??es dentro do campo do aprendizado de máquina. é fundamental lembrar que, enquanto seu chefe pode oferecer orienta??o valiosa, você é responsável por impulsionar sua própria carreira. O feedback do seu chefe é uma ferramenta poderosa, mas cabe a você aplicá-lo e trabalhar ativamente no desenvolvimento de suas habilidades para alcan?ar seus objetivos de longo prazo.

It is very hard for many to accept criticism for the job that has been done with so much dedication and hard work. However it is important to also see the perspectives and the opinions that our superior might put forward as they can be pointers to make our work even better than what it already is. Embracing criticism is crucial for enhancing our skills.

Embracing criticism takes time, effort, and practice. It is natural to get defensive when someone shows you room for improvement. You can choose to take notes so as to engage your mind constructively and focus on the feedback being given. Nobody is perfect so it is good opportunity of someone shows our blindspots so that we can work on them and improve our skills not just hard skills but also soft skills.

Be open to constructive criticism and feedback. Understand that feedback is an opportunity for growth and improvement. Approach the conversation with a positive and receptive attitude, showing that you value your boss's insights and expertise.

After receiving feedback, take notes and ask clarifying questions if needed. Act on the feedback by incorporating suggestions into your work and learning process. Follow up with your boss to discuss your progress and how you have implemented the feedback.

After the meeting, follow up with your boss to thank them for their feedback and reiterate your commitment to improving your machine learning skills. Provide updates on your progress and any actions you've taken to address the feedback you received.

Take time to reflect on the feedback received and your progress in enhancing your machine learning skills. Assess what worked well, what areas still need improvement, and what additional resources or support you may need. Continuously iterate on your learning process based on feedback and reflection.

Seek Mentorship: If your boss is open to it, consider asking for mentorship in the field of machine learning. Additional Resources: Explore other avenues for learning, such as online courses, workshops, or conferences, and discuss these with your boss. Demonstrate Growth: As you implement feedback and improve your skills, find ways to demonstrate your growth through updated projects, analyses, or presentations. Share Successes: When you achieve milestones or successes in your machine learning projects, share these with your boss to showcase your development.

Your boss might not be the best source of feedback to help you enhance your ML skills. If your boss is or was recently hands-on and is staying current, then by all means seek feedback from them. But you might learn more from senior colleagues, or from senior peers among the broader ML community.