Reasons You Don’t Need to Learn Machine Learning (and what to do instead).
A time to reflect?
You might have never thought about this before. But what I am about to share with you will make you reconsider your step and guide you in looking before you leap!
The truth is: there are different reasons why you should never consider venturing into machine learning.
Here the thing:
I have written different contents which are focused on encouraging people to learn machine learning. I love to see beginners build a successful career in machine learning.
I have also received some commendations on how my contents have challenged and built confidence in people who ordinarily were afraid or not bold enough to start a career in machine learning.
Good news eh? I agree.
On the other hand, and based on my personal observations, I feel compelled to tell people why contemplating a career in machine learning could be a bad idea!
Yes, you heard me right. A baaaaaaaaad idea!!!
I wish I can tell you that machine learning is everything and that everyone can actually pursue a career in it!
Well, apart from the obvious fact that a machine learning career isn’t everything this life is all about, there are some preconceived ideologies and dispositions about a machine learning career that are completely detrimental to building a successful career in machine learning.
If your machine learning ambition is driven by at least one of assumptions, I genuinely hope this post gives you some courage, inspiration and guide to reconsider your decision and build your machine learning journey on an enduring path
Don’t waste your life following the trend. Be driven by purpose and intent.
One funny trend I see everywhere on the internet is the aimless and clueless rush to venture into anything machine learning. It has got so bad that people feel ashamed if they aren’t into anything machine learning.
Don’t waste your life following the multitude. Be driven by purpose and intent.
In this blog, I will be sharing with you four factors and mindsets that reveal you are wasting your time with machine learning.
These points will also challenge your premise of wanting to learn or start a career in machine learning. Ultimately, they are expected to help you chart a new path of purpose, clarity and commitment.
In the end, reconsidering your assumptions and reframing your mindset toward machine learning will be one of the best decisions you will ever make in choosing a career path for yourself.
Here are 4 reasons why learning or starting a career in machine learning is a bad idea for you.
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Reason 1: Just because others are doing it.
This may look very simple. But you won’t know how many decisions you have taken in life just because the multitude are taking the decision.
You will be shocked to know how many times your preferences are being influenced by the majority decision-noise.
Everywhere you turn to you hear machine learning-on the internet, social medial, etc.
Your colleagues and friends are all out for machine learning and that makes you feel left out.
So, you say, “well, if others are doing it, why can’t I do it too?’
Boom! Your journey begins.
The race has started.
From one course to the other.
You felt “passionate” at the beginning, now the passion has gone! You were jumping from one course to another but you never finished any one.
You bragged about starting an online course on your social media, only for you to abandon them because deep in your heart you knew you were not really interested in the stuff!
The point is, you need to know for yourself what is it you really want.
It takes genuine passion, dedication and commitment to make the best out of a machine learning career. The path is not as rosy and smooth as it has always been painted on the internet.
On this journey, you will discover machine learning isn’t the answer to every business problem.
Machine learning methodologies are great.
Starting your career in machine learning and applying its tools to solving problems is interesting and rewarding too.
Having said that, you need to know that there are simpler and common tools that can do the job far better than machine learning.
Again, check your motive.
Are you prepared to walk the talk? Are you ready to face the realities of a machine learning career? It’s all about you, what you want. It’s never about others!
Also, read these:
Reason 2: Just because machine learning career pays ‘enviable‘ salaries
With enviable salaries come unenviable tasks and workloads!
The idea that working in a machine learning career path will be a great adventure just because it’s been paraded to be a “sexy” and highly rewarding career is should be a big concern for beginners.
Now, don’t get me wrong. There is nothing bad about being attracted to a career because of the high remuneration.
But you just have to be sure that your core interest and love for the job is deeper than the remuneration.
Because as you will soon find out, the practical hands-on on-field experience in most cases may not be as smooth, straightforward and interesting as you see it in those online courses and projects.
-No ready-made data, not similar code or project to fall on. And above all, you just have to deliver.
At this stage, it’s all about your love, passion and deep interest in the job. No amount of money can push you through this. You just have to possess the needed skills and capacities.
No employer will be willing to pay you above your contribution to the organization in terms of adding value.
So, instead of being attracted to the job by its relatively higher remuneration alone, ask yourself these questions:
- Do I have what it takes to deliver?
- Would I be happy and fulfilled doing this?
The universal truth is, if you are good enough and distinguish yourself from others in your chosen career, money will always be the secondary thing in your life.
There are many career paths today that are paying far more than what is obtainable in the machine learning fields.
Also, read these:
Reason 3: Just because it’s the ‘coolest‘ career choice on the internet.
Machine learning isn’t just about coding and python. It’s about solving problem, providing solutions. Are you ready for this?
In fact, the hardest and most challenging path of the machine learning pipeline is where you have to interact with people and not data.
At the level of the stakeholder meeting, interaction and engagement, that is where more insightful deductions are revealed. This is where your skill of design thinking and issues identification and problematization comes in as a team.
To make the best out of a machine learning career, you have to be self-driven. and your passion must exceed ‘internet noise.’
In most practical cases, apart from the fact that data don’t exist or is fragmented, you and your team would need a reasonable amount of time and energy to identify, gather and manipulate the required data.
Trust me, this process isn’t as “sexy,” as it is being painted on the internet.
Almost everyone is well equipped with the technical side of things. Only a few really understand the business or domain relevance of applying machine learning tools.
Also, read these:
What you should do instead.
Rejig your assumptions. It’s always the first step to clarity
The first thing is to be honest with yourself.
Start with some basic questions:
Why am I interested in pursuing a career in the machine learning field?
Do my skills and capabilities really match this field?
Am I ready to invest a significant part of my time, energy and other resources into achieving my dream of working in a machine learning field? And will this sacrifice worth it at the end of the day?
Can I still apply machine learning tools in my current job without transitioning to a full machine learning career path?
Am I mistaking my enthusiast-level interest for a passion for a machine learning career?
Do I need to give myself a break to really unearth my career interest before jumping into machine learning?
Get your conviction. Move ahead. And thank me later!
If you can come out with the strong conviction that you are ready to forge ahead with your decision to launch into a machine learning career, congrats!
Now, you have laid for yourself a solid foundation to build a successful and rewarding career.
This foundation will be a shield for you when you are met with hard times or low energy as you go along fulfilling your passion.
Go ahead and start learning everything machine learning!
Here is a list of impactful resources I have prepared for machine learning starters and transitioners like you.
Many people have benefited from these resources. You too, can!
Keep pursuing your dream.
Be the best!
- How To Start A Career In Machine Learning: A Complete Guide To Career Transition.
- 10 Interesting Project Ideas to Prepare You for Machine Learning Role.
- How to Learn Machine Learning The Self-Starter Way: Complete Guide.
- Start Here With Machine Learning: A Beginner-Friendly Step-By-Step Procedure
- 7 Costly Mistakes Beginners Make When Starting A Machine Learning Career (plus tips on how to avoid them).
- A Complete Guide To Learning Machine Learning In Your Spare Time: An enthusiast’s approach
- 5 Key Most In-Demand Soft Skill Sets You Need to Develop as a Machine Learning Career Starter
- How To Build A Compelling And Winning Machine Learning Portfolio That Will Get You That Job.
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Hi, there! I’m Olusegun.
I help ambitious machine learning starters develop a working strategy to learn, build projects, develop a winning portfolio and start a career in machine learning with ease. Dreaming of building a successful career in machine learning? Let's do it together.
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