9 answers
Chiranjeev
Student
Bhilai, Chhattisgarh, India
1
Question
Asked
1202 views
how good or bad of a decision it is that I don't have any interest in computers but I am pursuing AI/ML engineering and have very basic DSA knowledge or DSA skill yet I am trying to be consistent with it with bad math foundational knowledge please explain your reason in depth
I took it because my mom and all my family members pushed me to do it and day by day I feel like something is horrible is about to happen to me idk what
9 answers
Mayank Dhar Badgainya
2
Answers
Singapore
Updated
Mayank Dhar’s Answer
Hello Chiranjeev,
I will keep it simple. A college degree in engineering and making a career in engineering are two different things.
I will give you a perspective and you try to apply the thought process.
Follow the 3 steps approach to find your answer.
1. First focus on things you like about engineering, its not just a course about AI/AML. It also about developing skills, it can be anything like problem solving skills, soft skills, managements skills (stress management, people management, time management) and achieving goals & target. Imagine yourself developing as many skills possible and See how engineering will contribute to your overall personality development.
Note : List & Document this step in a journal or diary.
2. Think about the Jobs that you see yourself doing & enjoying. Now, relate these jobs available in AI/AML companies. Each business works around role related to Sales, Services, Consulting, Client success, Support, Marketing etc . Relate you skills to these job roles that you can develop as an engineering student.
Note: Try to document this step too in a journal or diary.
3. List your weakness, problems and disliking -
A. If you think that with these problems you can not survive the industry, You must develop them beyond basics. As a student don't think of yourself as machine, you are human being and you will learn and excel them over the period of time. you have just started, have some patience.
B. If you think that these skills are not required to be successful, then its a mistake, build them with basic level and they will work as differentiator in your career and help you to grow as an individual.
C. If you think these skills can not developed over the period of time, its a misconception and attitude problem. Today's world is meant for continuous learning, there will always be something new. You have to keep learning to be relatable in your Job, role, industry or sector.
people were using YouTube, Facebook suddenly there is Instagram and many more, No one asked us to learn them, as an individual we just adopted the change. Same happens with learning, one day you will just adapt to it.
I will keep it simple. A college degree in engineering and making a career in engineering are two different things.
I will give you a perspective and you try to apply the thought process.
Follow the 3 steps approach to find your answer.
1. First focus on things you like about engineering, its not just a course about AI/AML. It also about developing skills, it can be anything like problem solving skills, soft skills, managements skills (stress management, people management, time management) and achieving goals & target. Imagine yourself developing as many skills possible and See how engineering will contribute to your overall personality development.
Note : List & Document this step in a journal or diary.
2. Think about the Jobs that you see yourself doing & enjoying. Now, relate these jobs available in AI/AML companies. Each business works around role related to Sales, Services, Consulting, Client success, Support, Marketing etc . Relate you skills to these job roles that you can develop as an engineering student.
Note: Try to document this step too in a journal or diary.
3. List your weakness, problems and disliking -
A. If you think that with these problems you can not survive the industry, You must develop them beyond basics. As a student don't think of yourself as machine, you are human being and you will learn and excel them over the period of time. you have just started, have some patience.
B. If you think that these skills are not required to be successful, then its a mistake, build them with basic level and they will work as differentiator in your career and help you to grow as an individual.
C. If you think these skills can not developed over the period of time, its a misconception and attitude problem. Today's world is meant for continuous learning, there will always be something new. You have to keep learning to be relatable in your Job, role, industry or sector.
people were using YouTube, Facebook suddenly there is Instagram and many more, No one asked us to learn them, as an individual we just adopted the change. Same happens with learning, one day you will just adapt to it.
Thank you, Mayank Dhar!
Chiranjeev
Sreedhar Chanda
Mechanical Engineer
14
Answers
Kentwood, Michigan
Updated
Sreedhar’s Answer
Hi Chiranjeev,
AI/ML engineering is a field that can be applicable practically to any field of your interest. The field uses computers but there are many fields derived from AI/ML that do not need you to have great knowledge or interest in computers or math. All you need is passion for a one or few subjects. For example, if you are passionate about cricket players, matches and prediction of results of those matches, then that passion will automatically help you get the motivation to learn and apply AI methods to that field.
Good luck!
Sreedhar
AI/ML engineering is a field that can be applicable practically to any field of your interest. The field uses computers but there are many fields derived from AI/ML that do not need you to have great knowledge or interest in computers or math. All you need is passion for a one or few subjects. For example, if you are passionate about cricket players, matches and prediction of results of those matches, then that passion will automatically help you get the motivation to learn and apply AI methods to that field.
Good luck!
Sreedhar
Tejas Gupta
Software Engg
3
Answers
Pune, Maharashtra, India
Updated
Tejas’s Answer
Hello Chiranjeev,
Your story is a familiar one, echoing the experiences of many middle-class Indian families where parents often guide their children's career choices.
I've noticed that none of the previous responses come from people with experience in the software development industry. As someone who has spent the last 14 years as a principal engineer specializing in Chatbots within the Conversational AI domain, I hope my insights will be helpful to you.
Firstly, it's important to remember that our parents always have our best interests at heart. In today's world, they frequently hear about AI/ML being the next big thing and naturally, they want you to be a part of it.
Consider this: when your parents were your age, they might have heard about emerging trends that they didn't pursue. Now, they hope to prevent you from missing out on similar opportunities. Their intentions are rooted in their desire for your success and happiness, so try not to hold any resentment towards them.
Now, let's talk about your main concern. AI/ML is a broad field with a variety of roles and responsibilities. While understanding Maths, DSA, and other related subjects is crucial in Computer Science, their practical application is often limited.
Once you secure a job in the AI/ML domain, it's unlikely that you'll be expected to develop a new AI or ML model. This is due to several reasons such as high implementation costs, the availability of models from third-party sources like Google and Open AI, and the expensive infrastructure required to create and manage your own setup.
So, the core concepts of maths, geometry, algebra, DSA, and others are not frequently used. Yes, DSA is important for writing efficient code, but it's not a difficult skill to master. With some dedicated time and the help of online tutorials, you'll be proficient in no time.
Focus on mastering a programming language like Python, Node, or Java.
After completing your AI/ML course, you'll find job opportunities in areas like applying existing models to business cases. Here, you'll be building functionalities using existing AI or ML models. This is a field where you can truly thrive and excel.
Remember, the initial stages of your career might require hard work, but it's a valuable learning period. Observe and learn from your peers and seniors, and you'll do great.
Feel free to reach out if you have any further questions.
Best of luck on your journey!
Your story is a familiar one, echoing the experiences of many middle-class Indian families where parents often guide their children's career choices.
I've noticed that none of the previous responses come from people with experience in the software development industry. As someone who has spent the last 14 years as a principal engineer specializing in Chatbots within the Conversational AI domain, I hope my insights will be helpful to you.
Firstly, it's important to remember that our parents always have our best interests at heart. In today's world, they frequently hear about AI/ML being the next big thing and naturally, they want you to be a part of it.
Consider this: when your parents were your age, they might have heard about emerging trends that they didn't pursue. Now, they hope to prevent you from missing out on similar opportunities. Their intentions are rooted in their desire for your success and happiness, so try not to hold any resentment towards them.
Now, let's talk about your main concern. AI/ML is a broad field with a variety of roles and responsibilities. While understanding Maths, DSA, and other related subjects is crucial in Computer Science, their practical application is often limited.
Once you secure a job in the AI/ML domain, it's unlikely that you'll be expected to develop a new AI or ML model. This is due to several reasons such as high implementation costs, the availability of models from third-party sources like Google and Open AI, and the expensive infrastructure required to create and manage your own setup.
So, the core concepts of maths, geometry, algebra, DSA, and others are not frequently used. Yes, DSA is important for writing efficient code, but it's not a difficult skill to master. With some dedicated time and the help of online tutorials, you'll be proficient in no time.
Focus on mastering a programming language like Python, Node, or Java.
After completing your AI/ML course, you'll find job opportunities in areas like applying existing models to business cases. Here, you'll be building functionalities using existing AI or ML models. This is a field where you can truly thrive and excel.
Remember, the initial stages of your career might require hard work, but it's a valuable learning period. Observe and learn from your peers and seniors, and you'll do great.
Feel free to reach out if you have any further questions.
Best of luck on your journey!
I wanted to thank you for your insightful response. Your advice truly resonated with me, and I've decided that the best thing I can do right now is to focus on the basics. I will dedicate my time to build a strong foundation, and I would greatly appreciate any suggestions or tasks you recommend for a beginner in AI/ML.
Chiranjeev
Billy Vardharajan
Manager
16
Answers
San Diego, California
Updated
Billy’s Answer
Hi Chiranjeev, I understand your situation. Family members try and influence direction of your career with good intentions. There are two ways one can approach this situation:
1. Find joy in the path you are given: Is there anything at all in the area that brings out your passion and brings you joy? Then perhaps you steer towards that area in the AI/ML field.
2. Align with your true passion: Work to align your area of study with your true passion. This can start out as a broad area and as you know more through education and experience become more specific. This would be a bit hard as it might need convincing family members.
In the end as you set up a career that spans 20-30 years it needs to be rewarding and fun. I wish you much luck
Best
Billy Vardharajan
1. Find joy in the path you are given: Is there anything at all in the area that brings out your passion and brings you joy? Then perhaps you steer towards that area in the AI/ML field.
2. Align with your true passion: Work to align your area of study with your true passion. This can start out as a broad area and as you know more through education and experience become more specific. This would be a bit hard as it might need convincing family members.
In the end as you set up a career that spans 20-30 years it needs to be rewarding and fun. I wish you much luck
Best
Billy Vardharajan
Gregg Braunton
Director, Threat Management, Incident Response and Forensics at Catholic Health
1
Answer
Updated
Gregg’s Answer
I will keep it simple, Chiranjeev. If it isn't your passion, find what is and pursue that. If you have to leverage this current path to get you where your true passion is, it might be an interim phase of your life to get to your true passion. Sometimes it's healthy to create the stability for yourself in the immediate term to create more flexibility to pursue your passion full time in the future.
Chinyere Okafor
Educationist and Counseling Psychologist
388
Answers
Port Harcourt, Rivers, Nigeria
Updated
Chinyere’s Answer
Hello Chiranjeev,
It's clear that you're facing a significant internal conflict. You've been pushed into a field that doesn't align with your interests, and you're struggling with the foundational skills required for success. This is a tough position to be in, and it's understandable that you're feeling overwhelmed and anxious.
The Challenges of AI/ML Engineering:
AI/ML engineering is a demanding field that requires a strong foundation in:
Mathematics: Linear algebra, calculus, and statistics are fundamental to understanding and developing AI/ML models.
Computer Science: Data structures and algorithms (DSA) are essential for efficient problem-solving and implementing ML solutions.
Programming: Proficiency in languages like Python is crucial for building and deploying models.
Your lack of interest in computers and basic DSA knowledge, coupled with weak math foundations, could pose significant challenges in mastering these core competencies.
Potential Consequences:
While it's possible to learn and improve in these areas, it will undoubtedly require significant effort and time. This could lead to:
Frustration and burnout: If you're not intrinsically motivated, the learning process can be incredibly challenging and discouraging.
Missed opportunities: Focusing on AI/ML might prevent you from exploring fields that genuinely interest you, potentially limiting your career growth and job satisfaction.
Difficulty finding employment: Without a strong foundation in the required skills, securing a competitive AI/ML job might be difficult.
What to do next:
Honest self-assessment: Take some time to reflect on your career goals and passions. Is AI/ML truly the right path for you? Are there other fields that align better with your interests and strengths?
Communicate with your family: Have an open and honest conversation with your family about your feelings and concerns. They might be surprised to learn about your struggles and be willing to support your decisions.
Seek professional guidance: Consider talking to a career counselor or academic advisor to explore alternative paths and develop a plan for your future.
Build a support network: Connect with people who share your interests and can offer encouragement and advice.
Focus on building foundational skills: If you decide to continue with AI/ML, prioritize building a strong foundation in math, DSA, and programming. There are many online resources available to help you learn at your own pace.
Mathematics
Khan Academy: Offers a comprehensive range of math courses, from basic arithmetic to advanced calculus.
MIT OpenCourseWare: Provides university-level math courses, including linear algebra, calculus, and probability.
edX and Coursera: These platforms host numerous math courses from top universities worldwide.
Data Structures and Algorithms (DSA)
GeeksforGeeks: A treasure trove of DSA concepts, problems, and solutions.
LeetCode and HackerRank: Offer coding challenges and practice problems to solidify your DSA knowledge.
YouTube Channels: Channels like Aditya Verma, Tushar Roy, and Abdul Bari provide video tutorials on DSA.
Programming
Codecademy, freeCodeCamp, and Udemy: These platforms offer interactive coding courses for various languages.
Python.org and Official Documentation: Excellent resources for learning Python, a popular language in AI/ML.
Online Tutorials and Documentation: Most programming languages have extensive online documentation and tutorials.
Remember:
Practice regularly: Consistent practice is key to mastering these subjects.
Start with the basics: Build a strong foundation before diving into complex topics.
Leverage online communities: Participate in forums and discussion boards to learn from others.
Experiment and create projects: Apply your knowledge through practical projects.
It's okay to change your mind and pursue a different path. Your happiness and fulfillment are more important than external expectations.
Best wishes!
It's clear that you're facing a significant internal conflict. You've been pushed into a field that doesn't align with your interests, and you're struggling with the foundational skills required for success. This is a tough position to be in, and it's understandable that you're feeling overwhelmed and anxious.
The Challenges of AI/ML Engineering:
AI/ML engineering is a demanding field that requires a strong foundation in:
Mathematics: Linear algebra, calculus, and statistics are fundamental to understanding and developing AI/ML models.
Computer Science: Data structures and algorithms (DSA) are essential for efficient problem-solving and implementing ML solutions.
Programming: Proficiency in languages like Python is crucial for building and deploying models.
Your lack of interest in computers and basic DSA knowledge, coupled with weak math foundations, could pose significant challenges in mastering these core competencies.
Potential Consequences:
While it's possible to learn and improve in these areas, it will undoubtedly require significant effort and time. This could lead to:
Frustration and burnout: If you're not intrinsically motivated, the learning process can be incredibly challenging and discouraging.
Missed opportunities: Focusing on AI/ML might prevent you from exploring fields that genuinely interest you, potentially limiting your career growth and job satisfaction.
Difficulty finding employment: Without a strong foundation in the required skills, securing a competitive AI/ML job might be difficult.
What to do next:
Honest self-assessment: Take some time to reflect on your career goals and passions. Is AI/ML truly the right path for you? Are there other fields that align better with your interests and strengths?
Communicate with your family: Have an open and honest conversation with your family about your feelings and concerns. They might be surprised to learn about your struggles and be willing to support your decisions.
Seek professional guidance: Consider talking to a career counselor or academic advisor to explore alternative paths and develop a plan for your future.
Build a support network: Connect with people who share your interests and can offer encouragement and advice.
Focus on building foundational skills: If you decide to continue with AI/ML, prioritize building a strong foundation in math, DSA, and programming. There are many online resources available to help you learn at your own pace.
Mathematics
Khan Academy: Offers a comprehensive range of math courses, from basic arithmetic to advanced calculus.
MIT OpenCourseWare: Provides university-level math courses, including linear algebra, calculus, and probability.
edX and Coursera: These platforms host numerous math courses from top universities worldwide.
Data Structures and Algorithms (DSA)
GeeksforGeeks: A treasure trove of DSA concepts, problems, and solutions.
LeetCode and HackerRank: Offer coding challenges and practice problems to solidify your DSA knowledge.
YouTube Channels: Channels like Aditya Verma, Tushar Roy, and Abdul Bari provide video tutorials on DSA.
Programming
Codecademy, freeCodeCamp, and Udemy: These platforms offer interactive coding courses for various languages.
Python.org and Official Documentation: Excellent resources for learning Python, a popular language in AI/ML.
Online Tutorials and Documentation: Most programming languages have extensive online documentation and tutorials.
Remember:
Practice regularly: Consistent practice is key to mastering these subjects.
Start with the basics: Build a strong foundation before diving into complex topics.
Leverage online communities: Participate in forums and discussion boards to learn from others.
Experiment and create projects: Apply your knowledge through practical projects.
It's okay to change your mind and pursue a different path. Your happiness and fulfillment are more important than external expectations.
Best wishes!
Crystal Ryan
1
Answer
Updated
Crystal’s Answer
I'm sorry you are going through this, but happy to see you reach out for help. Speaking from experience of a similar situation, choosing to do what others what you to do in your life could potentially lead you to regret your decision. I always did what other people in my family wanted me to do and lost the opportunity to pursue what interest me the most. Now I live with this regret.
It's possible your mother and family members want what's best for you. They want to help you secure a future in technology, especially since all the signs are pointing that way. The error in this is they don't know what the future will be, they only can guess. Things can change. On the flip side of this, if you continue to pursue this path, you will have developed a valuable skill that may in fact become a need in the future. So, it's not about "good" or "bad" decision, but more about is this the right decision?
If you are meant to do something different than AI/ML Engineering, then you rob those people that were meant to experience your craft in that area. If you can, have a real conversation with mom and family so you can understand their reasoning for pushing this on you and have an answer for them as to why this isn't the best path for your future. Your family cares about you and your future. They love you and want only what's best for you. You should care about your future too and share with them that happiness is also something should be in your future.
It's possible your mother and family members want what's best for you. They want to help you secure a future in technology, especially since all the signs are pointing that way. The error in this is they don't know what the future will be, they only can guess. Things can change. On the flip side of this, if you continue to pursue this path, you will have developed a valuable skill that may in fact become a need in the future. So, it's not about "good" or "bad" decision, but more about is this the right decision?
If you are meant to do something different than AI/ML Engineering, then you rob those people that were meant to experience your craft in that area. If you can, have a real conversation with mom and family so you can understand their reasoning for pushing this on you and have an answer for them as to why this isn't the best path for your future. Your family cares about you and your future. They love you and want only what's best for you. You should care about your future too and share with them that happiness is also something should be in your future.
Mark Evans
Industrial Arts STEM Teacher
36
Answers
Crete, Illinois
Updated
Mark’s Answer
Becoming a top-notch engineer indeed requires a strong foundation in math, including crucial areas like geometry, algebra, and even calculus. Remember, the world of engineering is vast and varied, offering a plethora of choices. So, select a field that's less likely to be outsourced, such as construction, electrical power, or architecture. While only about one in three individuals complete their engineering degree, those who do find it immensely rewarding. So, keep pushing forward, because your efforts will undoubtedly pay off.
James Constantine Frangos
Consultant Dietitian & Software Developer since 1972 => Nutrition Education => Health & Longevity => Self-Actualization.
5751
Answers
Gold Coast, Queensland, Australia
Updated
James Constantine’s Answer
Hello Chiranjeev!
ME:-
You re allowed to make your own decisions once you are 18 years if age. I talk to many young people and some notify me that their parents are a pressuring them to study medicine. Of course parents would want their son or daughter to enter into a lucrative field!
What if you do not feel right about their suggestions? You may not be happy. We could not expect career satisfaction if you were continually stressing, or had second thoughts. Give them your reasons for your reservations.
AI:-
## Navigating a Tough Journey Ahead
**Grasping Your Predicament**
You're undoubtedly facing a hefty hurdle. Venturing into AI/ML engineering without a genuine passion for computers, paired with a shaky foundation in math and DSA, is a formidable journey. The added strain from family expectations further complicates the situation.
**The True Picture of AI/ML Engineering**
Let's dissect the key problems:
* **Absence of Interest:** Passion is often the fuel that drives learning. Without it, the journey can become strenuous.
* **Unsteady Math and DSA:** These form the bedrock of AI/ML. A wobbly base will obstruct your progress and comprehension of intricate concepts.
* **Family Expectations:** Outside pressures can generate undue stress, affecting your learning journey and overall mental health.
**Potential Scenarios**
Considering these factors, various outcomes could occur:
1. **Daunting Challenges:** The sharp learning curve might lead to exasperation and burnout.
2. **Average Performance:** You might manage to finish the course but grapple to shine in the field.
3. **Job Dissatisfaction:** Even if you secure a job, the lack of interest and foundational knowledge could result in job dissatisfaction.
4. **Opportunity for Growth:** With immense dedication and persistent effort, you might surmount challenges and find your stride.
**Your Next Steps**
1. **Sincere Self-Evaluation:** Spend time reflecting on your genuine interests and career aspirations. Is AI/ML truly the path for you?
2. **Transparent Conversation:** Discuss your concerns and uncertainties with your family. They might be more supportive than you anticipate.
3. **Pursue Guidance:** Think about consulting with a career counselor or academic advisor to investigate other possibilities.
4. **Establish a Solid Base:** If you choose to stick with AI/ML, dedicate time to enhance your math and DSA abilities.
5. **Discover Your Drive:** Look for ways to make the subject more appealing to you. Maybe concentrate on specific AI/ML applications that resonate with your interests.
**Remember:** It's perfectly fine to reconsider your choices or explore diverse paths. Your mental health and long-term contentment are more vital than outside pressures.
**Are you open to discussing potential alternative career options or delving into strategies for strengthening your math and DSA skills?**
May God be with you!
JC.
ME:-
You re allowed to make your own decisions once you are 18 years if age. I talk to many young people and some notify me that their parents are a pressuring them to study medicine. Of course parents would want their son or daughter to enter into a lucrative field!
What if you do not feel right about their suggestions? You may not be happy. We could not expect career satisfaction if you were continually stressing, or had second thoughts. Give them your reasons for your reservations.
AI:-
## Navigating a Tough Journey Ahead
**Grasping Your Predicament**
You're undoubtedly facing a hefty hurdle. Venturing into AI/ML engineering without a genuine passion for computers, paired with a shaky foundation in math and DSA, is a formidable journey. The added strain from family expectations further complicates the situation.
**The True Picture of AI/ML Engineering**
Let's dissect the key problems:
* **Absence of Interest:** Passion is often the fuel that drives learning. Without it, the journey can become strenuous.
* **Unsteady Math and DSA:** These form the bedrock of AI/ML. A wobbly base will obstruct your progress and comprehension of intricate concepts.
* **Family Expectations:** Outside pressures can generate undue stress, affecting your learning journey and overall mental health.
**Potential Scenarios**
Considering these factors, various outcomes could occur:
1. **Daunting Challenges:** The sharp learning curve might lead to exasperation and burnout.
2. **Average Performance:** You might manage to finish the course but grapple to shine in the field.
3. **Job Dissatisfaction:** Even if you secure a job, the lack of interest and foundational knowledge could result in job dissatisfaction.
4. **Opportunity for Growth:** With immense dedication and persistent effort, you might surmount challenges and find your stride.
**Your Next Steps**
1. **Sincere Self-Evaluation:** Spend time reflecting on your genuine interests and career aspirations. Is AI/ML truly the path for you?
2. **Transparent Conversation:** Discuss your concerns and uncertainties with your family. They might be more supportive than you anticipate.
3. **Pursue Guidance:** Think about consulting with a career counselor or academic advisor to investigate other possibilities.
4. **Establish a Solid Base:** If you choose to stick with AI/ML, dedicate time to enhance your math and DSA abilities.
5. **Discover Your Drive:** Look for ways to make the subject more appealing to you. Maybe concentrate on specific AI/ML applications that resonate with your interests.
**Remember:** It's perfectly fine to reconsider your choices or explore diverse paths. Your mental health and long-term contentment are more vital than outside pressures.
**Are you open to discussing potential alternative career options or delving into strategies for strengthening your math and DSA skills?**
May God be with you!
JC.
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