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How can you develop resilience when a project is not going well?

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Machine learning projects can be challenging and frustrating, especially when they do not go as planned. You may encounter technical difficulties, data issues, model failures, or stakeholder feedback that require you to rethink your approach or start from scratch. How can you develop resilience when a project is not going well? Resilience is the ability to cope with stress and adversity, and to bounce back from setbacks and failures. It is a crucial skill for machine learning practitioners, as it can help you overcome obstacles, learn from mistakes, and improve your performance. In this article, we will share some tips on how to build resilience when facing difficulties in your machine learning projects.

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1 Acknowledge your emotions

The first step to developing resilience is to acknowledge your emotions and how they affect your work. It is normal to feel frustrated, angry, disappointed, or anxious when a project is not going well. However, if you ignore or suppress these feelings, they can build up and interfere with your productivity, creativity, and motivation. Instead of denying or avoiding your emotions, try to accept them and express them in healthy ways. For example, you can talk to a trusted colleague, mentor, or friend, write in a journal, or practice mindfulness or meditation. By acknowledging your emotions, you can gain perspective, release tension, and prepare yourself for the next challenge.

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Felipe Daltrozo da Motta

Project Manager, PSM, PSPO
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3 Tips I consider useful: - Recognize Frustration: Accept that feeling frustrated or disappointed is normal when facing setbacks. - Emotional Awareness: Be aware of how emotions affect decision-making and work. - Express Emotions: Find safe ways to express emotions, such as journaling or talking with a colleague.

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2 Reframe the situation

The second step to developing resilience is to reframe the situation and look for opportunities to learn and grow. Instead of seeing a project setback as a personal failure or a sign of incompetence, try to see it as a feedback loop or a learning experience. Ask yourself what you can learn from the situation, what you can do differently, or how you can improve your skills or knowledge. For example, you can review your code, data, or model, identify the root causes of the problem, and seek advice or guidance from experts or peers. By reframing the situation, you can shift your mindset from a fixed one to a growth one, and from a negative one to a positive one.

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Nowshaba jeelani

Doctoral Student | Cybersecurity @ SFI Centre for Research Training
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Instead of dwelling on what went wrong, focus on what you can learn from the situation. Use these lessons to improve future efforts. Embrace changes and be open to new approaches.

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Felipe Daltrozo da Motta

Project Manager, PSM, PSPO
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Consider: - Learning Opportunity: Treat setbacks as opportunities to enhance your ML algorithms or explore new data processing techniques. - Focus on Gains: Shift focus to the skills and insights gained, like improved model tuning or data understanding. - Alternative Approaches: Consider different ML models or feature engineering methods that might yield better results.

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3 Adjust your goals and plans

The third step to developing resilience is to adjust your goals and plans according to the new reality and the feedback you received. Sometimes, a project setback may require you to change your direction, scope, timeline, or expectations. Instead of clinging to your original goals and plans, try to be flexible and adaptable, and embrace the uncertainty and ambiguity. For example, you can revise your objectives, prioritize your tasks, delegate or outsource some work, or seek additional resources or support. By adjusting your goals and plans, you can avoid wasting time and energy on unrealistic or unfeasible outcomes, and focus on what matters most.

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Nowshaba jeelani

Doctoral Student | Cybersecurity @ SFI Centre for Research Training
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Break down your project into manageable tasks and set achievable goals. Celebrate small victories along the way. Remeber, resilience is not about avoiding difficulties, but about facing them head-on and bouncing back stronger.

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4 Celebrate your progress and achievements

The fourth step to developing resilience is to celebrate your progress and achievements, no matter how small or big they are. It is easy to overlook or minimize your accomplishments when a project is not going well, but doing so can undermine your confidence and motivation. Instead of focusing only on the gaps or flaws, try to recognize and appreciate your efforts and results. For example, you can reward yourself for completing a task, solving a problem, or improving a metric, or share your success with your team, manager, or client. By celebrating your progress and achievements, you can boost your self-esteem and morale, and reinforce your positive behaviors.

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Felipe Daltrozo da Motta

Project Manager, PSM, PSPO
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Try this: - Acknowledge Milestones: Celebrate when key phases are completed, like successful data preprocessing or model optimization. - Recognize Breakthroughs: Acknowledge breakthroughs, even small ones, such as improving algorithm accuracy or reducing overfitting. - Share Successes: Share advancements with your team, like enhancing model performance or data visualization improvements.

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Dr Andrea Isoni

PhD,Chief AI Officer, AI speaker
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When a ML project fails, technically means the expected promises are not achieved by the ML software. Now, this is the key: if the 'expected' results are not there, are there any 'new' results potentially useful for the business? In an innovation project, you are exposed to the unknown and when the promises are not matched it is a failure. At the same time, you may also find new discoveries and applications which are potentially good for the business. In these situations, I will focus on uncovering where the ML software can actually add values in other ways or processes not initially planned. And this can be claimed as a success of the project. To do this transition, it requires significant skills and expertise of the AI team though.

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5 Seek support and feedback

The fifth step to developing resilience is to seek support and feedback from others who can help you cope and improve. It is hard to deal with project difficulties alone, and doing so can isolate you and increase your stress. Instead of working in silos or hiding your struggles, try to reach out to others who can offer you emotional, technical, or practical assistance. For example, you can join a community of machine learning practitioners, ask for help or advice from your colleagues or mentors, or request feedback or suggestions from your stakeholders or customers. By seeking support and feedback, you can benefit from different perspectives, insights, and experiences, and build trust and rapport.

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Maxim Kazantsev

Software optimist and Product engineer working with #ML, #AI, #GenerativeAI | Double immigrant ????????
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You are not alone on your journey. Find a community of like-minded professionals who share a growth mindset. At work or outside your immediate team and organisation. Build a trustful relationship with your group and start seeking feedback and support. Work in small groups to maximise accountability.

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6 Take care of yourself

The sixth and final step to developing resilience is to take care of yourself and your well-being. Project difficulties can take a toll on your physical, mental, and emotional health, and affect your performance and satisfaction. Instead of neglecting or sacrificing your needs, try to maintain a healthy balance between your work and your life. For example, you can set boundaries and limits, manage your time and energy, get enough sleep and rest, eat well and exercise, or pursue your hobbies and interests. By taking care of yourself, you can reduce your stress and burnout, enhance your mood and creativity, and restore your passion and enthusiasm.

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Maxim Kazantsev

Software optimist and Product engineer working with #ML, #AI, #GenerativeAI | Double immigrant ????????
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You are not equal to your work. No matter how this or another project are going, you are a person who needs to be well and be taken care of. Remember to take breaks, do things you like and things you enjoy - not just things your work demands.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you develop resilience when a project is not going well?

1

2

3

4

5

6

7

1 Acknowledge your emotions

2 Reframe the situation

3 Adjust your goals and plans

4 Celebrate your progress and achievements

5 Seek support and feedback

6 Take care of yourself

7 Here’s what else to consider

Machine Learning

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How can you develop resilience when a project is not going well?

1

2

3

4

5

6

7

1 Acknowledge your emotions

2 Reframe the situation

3 Adjust your goals and plans

4 Celebrate your progress and achievements

5 Seek support and feedback

6 Take care of yourself

7 Here’s what else to consider

Machine Learning

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