Data science and machine learning use data to innovate products and services. Think of data science as a rectangle and machine learning as a square within it. Both are vital for industries, with data science being broader.
Going for either machine learning courses in Pune or data science classes in Pune can help secure a promising career. Felix-IT Systems is a leading machine learning institute in Pune offering the best learning experience.
In this article, we will discuss the key differences between machine learning and data science to help you gain a deeper understanding!
Data Science Meaning
Data science applies data to solve problems, encompassing collection, analysis, and interpretation to reveal patterns and insights. Data science blends statistics, math, computer science, and specialized knowledge. To find patterns, predict outcomes, and guide decisions. Various techniques, including machine learning, data mining, and data visualization, are utilized to analyse complex datasets. This field improves marketing, analyses customer behaviour, predicts sales, and boosts operational efficiency. Attending a data science class in Pune can help if you are planning to learn it.
Machine Learning Meaning
Machine learning is a part of AI that teaches computers to learn from data. The aim is to improve their performance without being explicitly programmed. It works by finding patterns in data to make predictions or decisions. There are different types: supervised (learning from labelled data), unsupervised (learning from unlabelled data), and reinforcement (learning from feedback). Such use cases of machine learning are utilized throughout a variety of industries. Such as healthcare and finance for tasks like personalized recommendations and medical diagnostics. The advancement in machine learning is rapidly changing the face of technology and how we utilize data. A machine learning course in Pune is the best to gain a deeper understanding of this subject.
Key Differences Data Science and Machine Learning
Analogy
The first and foremost thing to understand about data science and machine learning is their analogy. This can help you understand the key differences between both. Because data science and machine learning overlap on many points.
Think of data science as the entire scientific process applied to data. You collect data (observations), clean and organize it (hypothesis), analyse it using various techniques (experiments), and draw conclusions (results). Machine learning is a specific tool you might use during the analysis stage to automate certain tasks or make predictions.
Individuals can opt for machine learning courses in Pune or a data science course in Pune to excel in the desired field.
Felix-ITs is a leading machine learning institute in Pune that also offers data science courses in Pune.
Focus
Data Science: This is a broader field that encompasses the entire lifecycle of data, from collection and cleaning to analysis and visualization. Data scientists use a variety of techniques, including statistics, programming, and machine learning, to extract insights and knowledge from data. They focus on understanding what the data means and how it can be used to inform decision-making.
Machine Learning: This is a subfield of data science that focuses on building algorithms. They can learn from data and make predictions. Machine learning algorithms are trained on historical data and then used to make predictions about new data. The goal of machine learning is to automate tasks and make data-driven decisions.
Skills
Data Science: Requires a broader range of skills, including:
- Statistics and probability
- Programming languages like Python and R
- Data wrangling and cleaning
- Data visualization
- Communication skills
Machine Learning: Requires a strong foundation in statistics and computer science, along with knowledge of specific machine learning algorithms and techniques.
Going for either machine learning courses in Pune or attending data science classes in Pune can help individuals develop key skills.
Tools and Techniques
Data Science: Data scientists use a variety of tools and techniques, depending on the specific task at hand. These may include:
- Statistical software (e.g., R, SAS)
- Data wrangling tools (e.g., Pandas)
- Data visualization tools (e.g., Matplotlib, Tableau)
Machine Learning: Machine learning engineers use specialized libraries and frameworks for building and deploying machine learning models. These may include:
- TensorFlow
- PyTorch
- scikit-learn
Application Areas
Data Science: Data science finds applications in various domains such as finance, healthcare, marketing, e-commerce, social media, and many others, where data-driven insights are valuable.
Machine Learning: Machine learning is used in a wide range of applications including recommendation systems, image and speech recognition, natural language processing, autonomous vehicles, fraud detection, and more.
Career Options
What are the careers in data science?
Data Scientist: Data scientists analyse big data to find insights and make decisions using statistics, machine learning, and coding.
Data Analyst: Data analysts interpret data to find trends and give insights for informed business decisions. They work with tools like SQL, Excel, and visualization software.
Data Engineer: Data engineers create and manage systems to handle big data. They work with databases, data pipelines, and technologies like Hadoop and Spark.
Business Intelligence Analyst: Business Intelligence Analysts collect and study data to understand how a business is doing and where it’s headed. They use tools like Tableau or Power BI to make the data easy to understand for decision-makers.
What are the careers in Machine Learning
Machine Learning Engineer: Machine Learning Engineers design, build, and deploy ML models, algorithms, and infrastructure for training and implementation.
AI Research Scientist: AI researchers improve how AI works by creating better methods and algorithms for machines to learn and think.
AI/Machine Learning Consultant: AI/Machine Learning Consultants create tailored solutions for businesses’ needs, specializing in various industries and purposes.
Natural Language Processing (NLP) Engineer: NLP Engineers create algorithms for computers to understand human language, developing applications like sentiment analysis, chatbots, and translation.
Students or professionals can enrol on a machine learning institute in Pune or a data science class in Pune to increase their chances of securing a promising career.
Salary
While exploring the key differences between the both, learning about their salary is a must.
What is the average salary of an ML engineer in India?
According to AmbitionBox Machine Learning Engineer salary in India ranges between ₹ 3.0 Lakhs to ₹ 22.0 Lakhs with an average annual salary of ₹ 10.1 Lakhs.
Their salary in Pune ranges between ₹ 3.0 Lakhs to ₹ 15.0 Lakhs with an average annual salary of ₹ 8.2 Lakhs
What is the salary of a data scientist in India?
According to AmbitionBox Data Scientist salary in India ranges between ₹ 3.9 Lakhs to ₹ 28.0 Lakhs with an average annual salary of ₹ 14.4 Lakhs. In Pune the salary ranges between ₹ 3.6 Lakhs to ₹ 20.0 Lakhs with an average annual salary of ₹ 12.6 Lakhs.
Final Thoughts
Both machine learning and data science are great career options, and you can go for either of them. The machine learning courses in Pune by Felix-ITs a leading machine learning institute in Pune. Along with that Felix-ITs also offers data science classes in Pune to help students go for the preferred career option.
Moreover, Felix-ITs provides the students with placement support once the course is completed. This approach allows the students to effortlessly scout the best career opportunities without any hassle.
Enroll in the data science course or machine learning courses in Pune for a bright future!
