Last Updated on July 7, 2021
So, have you decided to learn machine learning? Well, to learn machine learning from scratch to experience is quite irritating but very interesting, only when if you have decided that I want to learn machine learning whatever it takes. Now the thing is, what are those skills that are required for machine learning or machine learning engineers?
Here in this article, my aim is to provide you an accurate thing that you need to know, if you are starting machine learning as a beginner.
If you have 10 minutes straight then read this full article, otherwise, you are gonna miss the main things.
Machine Learning is the subset of Artificial Intelligence. It is a technique or ability by which a computer can learn itself without being explicitly programmed with the help of data.
Suppose you have designed a system that answers the question of what dress a person is wearing and what is the color of that dress. Now to answer this question accurately, we actually train the machine learning model. To train a model, we need to collect a lot of data(the color, design of clothes, and more) that we provide to it.
Skills that you need to learn for Machine Learning
You will definitely have to know where to start to learn machine learning, which books have to read, where to get the certification, which programming language to choose, and the other skills that will be required for machine learning.
Here is the roadmap of machine learning. I will provide you with the best course or platform from where I learned that will also help you start your machine learning journey.
Carefully read below recommended sequence to learn machine learning. If you start step by step, then you will definitely learn machine learning as a beginner. After that, you can start implementing machine learning algorithms effectively.
Step – 1
Skills of Programming Language
First of all, you need to learn the programming language, whether you are preparing for data science or artificial intelligence. There are many programming languages that are used for machine learning. Such as R, C ++, Python, and more.
Python programming language would be best for you to start with. Because it is a very easy and readable language to learn as a beginner. Beginners can understand its code very easily. Well, you don’t need to master everything in python, just learn the basics of python language.
As soon as you learn the basics of Python language, it is important for you to complete data structures and algorithms. This will help you understand the problems and how to solve them.
Some Python Libraries
Along with python basics code, you need to learn some libraries also. Python Libraries that are used to implement machine learning algorithms are Numpy, Pandas, Matplotlib, scikit-learn, and more.
You can either learn all these libraries separately or all together in a machine learning tutorial. It is recommended that you should learn all the libraries simultaneously. FreeCodeCamp is the best platform where you can learn these libraries very efficiently.
You can also check out some websites like w3schools.com and geeksforgeeks.com. These both places where you can study python libraries, and tutorials of machine learning also.
Step – 2
Skills of Mathematics
The machine learning model should be developed in such a way that it can give a fairly accurate output. For this, it is very important for you to know mathematics. In Mathematics, such topics you need to cover are Linear Algebra, Calculus, Probability, and Statistics.
If you have already learned, you can proceed to the next step. If not, I would suggest you to learn from these platforms.
- Linear Algebra:- Khan Academy and 3blue1brown
- Calculus:- Khan Academy and 3blue1brown
- Probability & Statistics:- Khan Academy
If you are unable to study these topics separately then the second I would suggest you to buy a book called Mathematics for Machine Learning.
This book will make you understand the fundamental tools needed to understand machine learning. This book includes all four topics.
Step – 3
Skills of Machine Learning
Well, this is the main part of your journey to become a machine learning engineer or to crack an interview to get a machine learning job.
For you, there is a bunch of content available on machine learning on the Internet. Many trusted websites or verified youtube channel will teach you everything about machine learning, and that too for free.
To study machine learning from the beginning, I would not tell you to buy a certified course directly. Especially, when you are experiencing ML concepts for the first time. My advice would be that, you should first go for a Machine Learning tutorial on youtube. You can start Python Machine Learning Tutorial by Programming with Mosh.
Now you should start studying machine learning courses from a certified platform to help you get a job in the future or share it on LinkedIn.
- Andrew’s Ng ML Course from Coursera (Standford University)
- Machine Learning Course from Edx (MIT)
- Machine Learning Course from LinkedIn Learning (Lynda.com)
These three platforms are the best platforms where you will get every skill of machine learning. Now it’s your choice, you can pick any course from these and can start your journey now.
While taking any of these courses, you should have a machine learning book, hands-on machine learning for your theoretical and practical knowledge. you can buy it.
Machine Learning Algorithms
Without the skills of machine learning algorithms, your journey is completely useless. When solving a data related problem, you should be familiar with the most commonly used machine learning algorithms.
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forests
- Dimensionality Reduction Algorithms
- Gradient Boosting Algorithms
- K-Means (Clustering)
- Reinforcement Learning
- Neural Networks
Well, you may be familiar with the machine learning algorithms. But the most challenging part is while solving problems, you have to decide which algorithms should be applied to solve them.
Well, learning machine learning algorithms is a very difficult part and to understand too, but it is necessary for you to learn every algorithm. Below this video here will make you understand the step-by-step process to learn the concepts of machine learning algorithms very efficiently.
Data Engineer or Database Skills
To work on machine learning projects or to implement models that involve machine learning technology, you need a lot of data to work. Kaggle is the best platform where you can find lots of data on whatever topics you want.
To work with a heavy amount of data, you need to know about the data processing, SQL or NoSQL databases. You should have also prior knowledge to work with Data Analysis (A process of inspecting, cleansing, transforming, and cleaning data), Data Visualization Skills.
Machine Learning Frameworks
Okay, this is the last part of your machine learning journey. While studying machine learning, such machine learning frameworks you should be familiar with are: –
- Torch, and more.
How Long Will it Take to Learn Machine Learning?
This question is a little confusing as well as a tricky one. Along with ML, you also need programming language and mathematics to fully learn machine learning. And together, you need to do data analysis in that language that you have chosen.
If I talk about python programming, it can hardly take 15 to 28 to complete the basics of programming. But it depends on you, that you can finish it before 15 days or even after 28 days.
For mathematics, to complete all those four topics, it may take around 60 days to days. But it’s up to you that you can complete it before 60 days or even after 90 days.
When you will start learning machine learning, it may take a longer time to approach to become an expert. The courses that I have mentioned above, according to their course description it will take around 60 to 120 total hours to complete.
Now it depends on you that how much time do you spend to learn it effectively in a week. After completing all these courses, it will be best for you to start doing Machine Learning Projects.
A good way to start doing projects on ML is, you need to do two things, first is using Google Colab and the second thing is using the website kaggle.com. On Kaggle you will find thousands of different datasets for your machine learning projects. It also features you DatScience or Machine Learning Competitions with prizes.
That’s all here. I hope you liked this article. If have any questions please let me know in the comment section. Also, you must share your experience in the comment section with the rest of the skills that you required for machine learning.
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