Last updated on August 29th, 2022 at 08:51 am
10 Beginner-Friendly Steps To Learn Machine Learning
Machine Learning is believed to be the future of data science. According to Forbes insights, the global Machine Learning market is valued at $21.17 billion and is expected to surpass $209.90 billion by 2029. But what is Machine Learning?
Machine Learning is an advanced technology for making machines learn to work without direct programming or commands from humans. It uses various statistical methods and algorithms that help computers and software identify patterns and produce the desired results.
If you aspire to learn Machine Learning and explore the field of data science, you can start with the steps provided below:
Step 1: Learn Python
The first step toward mastering Machine Learning is learning a programming language to analyse data and derive meaningful insights from it. The most popular programming language in this regard is Python.
Step 2: Sharpen Your Mathematical Skills
Brush up your mathematical and statistical concepts like probability, regression, calculus, linear algebra, and hypothesis testing. These are necessary as they come in handy for designing and understanding different algorithms and predictive models.
Step 3: Understand How Machine Learning Works
Once you have mastered a programming language and revisited mathematical concepts, you can start picking up different Machine Learning concepts. For starters, you can research the different types of Machine Learning and their applications. Essentially, there are three types of Machine Learning concepts: Unsupervised Learning, Supervised Learning, and Reinforcement Learning.
Step 4: Get Hands-on With Data Science Tools
Start learning different data science tools like the Jupyter Notebook, Anaconda, Apache Hadoop, etc. These tools teach you to create and share documents containing codes, equations, and data visualizations.
Step 5: Learn How To Design and Select Algorithms
An algorithm is a set of rules you use to process a data set. Since a data set contains a large number of data points that are varied in nature, a single algorithm cannot be used to solve it. Thus, you must know how to design diverse algorithms and select the ones that can be used for different data sets. You will acquire this skill only with practice and over time.
Step 6: Learn Data Visualisation and Manipulation
To implement Machine Learning, you must be able to visualise data with the help of software like Tableau to make sense of it. For this, you must familiarise yourself with software like NumPy, Pandas, and Matplotlib. These tools teach you to visualise and manipulate data and extract meaningful information.
Step 7: Build Your First Machine Learning Model
Once you have mastered all the preliminary tools and software, you should devise your first Machine Learning model. You can use any online platform to create your machine learning model.
Step 8: Tune Your ML Model
After devising your Machine Learning model, use it to train an algorithm over a data set and see how it works. Based on the results, tune it and add features that can improve its accuracy and speed.
Step 9: Learn Deep Learning
Move on to acquire Deep Learning skills as Machine Learning works well only with small sets of data; to deal with large sets, you need to know Deep Learning.
Step 10: Get Practical Experience
As a final step, get some hands-on experience to test your knowledge and skills. You can take up projects or join a Machine Learning internship. Practical experience will help you implement theoretical concepts and boost your confidence by providing actual results.
Take Away
Machine Learning is a rapidly evolving domain. If you aspire to make a career in Data Science and Machine Learning, it will be helpful to start as early as possible. You can either learn the fundamentals through free resources on the internet or take up paid courses to get a better understanding.
Imarticus Learning offers a certificate program in data science and machine learning, a 5-month weekend course offering comprehensive understanding and live training facilities by the IIT faculty and industry experts. Feel free to contact us through our chat support. You can also visit your nearest training center in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.
