Imagine walking into your food delivery app and it just knows the delicacy you are in the mood to eat! Or YouTube suggests precisely what you’ve been searching for.
Feel like this is magic? For everyone else, it may be. But for someone like you, interested in machine learning training in Pune, it isn’t. It is machine learning (ML) at work!
Machine learning, popularly known as ML, may sound a little complicated.
But don’t worry as we will explain it with some easy examples in this blog.
Besides, since it is fundamental to data science, we will also understand its role.
What is Machine Learning – Beginning from the Basics!
In simple language, ML is a way of teaching computers how to learn from data without explicitly programming them for every task. So, instead of providing step-by-step instructions, you give the machine examples and allow it to find patterns.
Imagine you are a teacher, teaching students about cars. Instead of saying a car has four wheels, four doors, one roof, etc., you show them multiple pictures of cars. Eventually, the children get it. This is precisely how ML works. It learns from examples.
Types of machine learning include;
- Supervised Learning: The machine receives labeled data (for example, animals with names) and it learns to predict the labels.
- Unsupervised Learning: This involves only raw data (without labels) and the machine finds hidden patterns or groups.
- Reinforcement Learning: The machine tries, errs, and learns.
What is Data Science – Let’s Also Understand This!
Data science refers to deriving meaningful insights from structured and unstructured data.Â
It combines various fields like computer science, domain knowledge, and statistics to transform data into usable information.
The process involves collecting data, cleaning it, analyzing it, visualizing it, and making informed predictions based on what the data says.
For example, data science helps retail companies analyze consumer shopping habits, understand what they want, and make suggestions that align with their needs. While contributing to quicker decision-making, it also helps enhance and expedite sales.
How Does ML Contribute to Data Science?
Let’s not get into the technicalities as of now as you will do that during your machine learning training in Pune. We’ll stick to simple examples for an easier understanding.
ML is a data scientist’s tool. Thus, if data science is the engine, ML turbocharges it, enabling data scientists to develop predictive models, uncover insights, and automate the overall decision-making process for companies.
Another way of understanding it is thinking of data science as a journey of uncovering a treasure and valuable insights from a massive mountain of data. You must work like a detective, sifting across clues to solve the mystery. ML works as your tool. It serves as a smart engine that learns from the clues, helping you make forecasts and decisions.
Let’s look at some simple, yet real-world examples to enhance your understanding.
- Spam Detection: Ever thought how your inbox categorizes your emails into spam and legitimate, relieving you from the tedious process of sorting them manually? The answer is ML algorithms, trained on vast amounts of emails, labeled as spam or not spam. Here, they learn to identify patterns, including sender addresses, specific keywords, or email structure – characteristics of a spam email. So, when you receive a new email, the algorithm analyzes it based on the patterns learned and decides an email’s category.
- Weather Forecasts: The mechanism of weather predictions is a little complicated. However, it involves ML at the backend. The algorithms receive data like historical weather data, including wind, temperature, speed, etc. They then learn the relationship between these factors and then make weather forecasts based on the data they have.
- Fraud Detection: Custodians of millions and billions of rupees, banks are also responsible for identifying and flagging suspicious transactions. This is possible with ML that discovers unusual patterns, for example, a sudden purchase in a foreign country, and flags it red.
Why Does Data Science Love ML?
It is because ML and its algorithms are capable of doing many things. Some include;
- Processing and learning from massive datasets – something beyond human abilities to do manually
- Uncovering subtle relationships and insights within data, otherwise difficult for the human eye to identify and process
- After training, ML models can predict based on new and unseen data or automate various decision-making processes
- They continuously improve with exposure to data, refining their understanding and improving accuracy over a period
Prepared to Take Up Machine Learning Training in Pune?
We hope the above helped you enhance your understanding of ML’s role in data science. Given the importance of data in the contemporary environment and the role ML plays in data science, a career as an ML professional can unlock several remunerative opportunities for you. However, the machine learning classes in Pune you enroll in also matter. So, join Ethan’s Tech, one of the leading institutes for machine learning courses in Pune. Our comprehensive curriculum, extensive practical exposure, portfolio development assistance, experienced faculty members and an encouraging learning environment shape you into an in-demand ML professional and pave the way to success in this field.
ML is growing and evolving rapidly, requiring qualified professionals. And guess what, it is a career that pays well and has abundant opportunities. So, connect with us if you want to be part of this exciting industry! Our experts are available at +91 95133 92223.
