Data Science vs Machine Learning - Know What is The Difference?

Data science and machine learning are two terms that often appear together but which have different meanings. Therefore, when we talk about Data Science vs Machine learning, it is important to understand the meaning of the two first. Data science is the practice of using data to draw insights, while machine learning is a subset of data science that uses algorithms to “learn” from data. Machine learning has evolved into a buzzword that is often used in marketing campaigns or thought of as untrustworthy due to its complexity. However, this understanding of machine learning can be complicated by the multiple definitions for it. This article provides an overview of data science vs machine learning, what are data science and machine learning difference, online courses and certifications in this field and why it's important to understand these terms before you make decisions about your career.

Before understanding data science vs machine learning, lets know what are these two fields.

Students Also Liked:

• Free Data Science Courses and Certifications
• Free Machine Learning Courses and Certifications

What is Data Science?

Data science is a combination of different fields, such as mathematics, physics, and computing. The goal of data science is to derive insights from data sets. The two most popular areas of study are predictive analytics and mathematical modeling. Data science can be used in any industry, but it's mostly used in industries that require immense amounts of data to analyze that data and make predictions about the future. These types of industries include healthcare, finance, insurance, energy and utilities, telecommunications, retail, manufacturing, security services and more.

Read more - Data Science and Machine Learning Program - Beginner

What is Machine Learning?

Machine learning is an approach for designing systems that can learn without being specifically programmed. The term machine learning was coined by Arthur Samuel in the 1950s and has since been used to refer to various algorithms for processing information represented as numerical variables, such as through neural networks, support vector machines, or evolutionary programming. Machine learning can be thought of as a subfield of artificial intelligence (AI).

Also Read -

• Career as Data Scientist
• Careers as AI Developer
• Careers as Data Analyst
  

When Should You Use Data Science vs Machine Learning?

To explain in data science vs machine learning in more prominent way, let get more deeper into why you should use machine learning more often. Machine learning is generally more flexible than data science, but not always. This means that machine learning can be used for a variety of purposes. Some of these purposes include predicting future outcomes, and model-driven real-time system identification (RTSI).

Further, data science vs machine learning also explains that if you are looking for more flexibility in your decision-making process, then machine learning may be the better tool to use. If you are looking for something to predict the future or create a model on the fly, then data science will likely be the better choice. Let's say you're working on a project that deals with a lot of uncertainty. You want to see what might happen if the company did X or Y. If this is your case, then machine learning would be the right choice as it can handle variability and unpredictability well.

Related Articles :

• How to Make a Career in Machine Learning
• Best 15+ Courses on TensorFlow for Machine Learning Engineer
• Top Machine Learning bootcamp courses to pursue right now
• Data Science with Machine learning and AI Pro+ Certification Course with Honeywell

Difference Between Data Science and Machine Learning

A very thin line create difference between data science and machine learning in their respective contexts. Machine learning is a field of study that focuses on algorithms that help computers find patterns, make predictions, or make decisions based on data. Data science is the process of collecting, organising, analysing, and transforming data to enable predictions or decisions.

Further, the difference between data science and machine learning highlights that Data science can take place in both an organisation's IT department or within a division of an IT department that specializes in analytics. Machine learning is typically used for predictive analytics, making recommendations about future events based on past experiences.

Also read - Master's Program in Data Science and Machine Learning

Online Courses and Certifications for Data Science and Machine Learning

Data science and machine learning are both fields which require significant knowledge of math, statistics, programming, and data management. Therefore, they are often confused as one term (data science) which encompasses both of these two fields. Online courses and certifications in this field can provide an overview of these two terms. These online diploma courses or online degree courses are an excellent way to learn the difference between data science and machine learning in a way that feels more approachable.

If you’re interested in getting further into the world of data science vs machine learning, online courses can provide a great foundation for furthering your education. Furthermore, if you have prior experience in a related field like computer science or engineering, then it may be easier for you to understand the concepts within these fields because there is a lot of overlap with other subjects found within those schools. There are both data science certification courses and machine learning certification online courses that can take you from beginner to expert in the field. A good place to start with data science certification courses or machine learning certification courses are the platforms like Udemy and Coursera.

Related Articles :

• Top Data Science Bootcamp courses to pursue right now!
• Statistical Data Science
• Artificial Intelligence and Data Science
• What Is Data Science
  

Conclusion

After understanding Data Science vs Machine Learning, it is clear that the two terms have different meanings and definition. Therefore, before making decisions about your career, it is important to understand the difference between data science and machine learning. By understanding the different meanings of these terms, you will be able to make more informed decisions about your career and personal goals.

Explore Popular Platforms Certification Courses