“Knowledge is biggest strength. Data is the new currency. Data Science is both,” therefore the saying goes! So, where Machine Learning comes in? Well, it is like this – without ML, you cannot influence automation. Although the data would be the same, its value wouldn’t be that much. Before elucidating the Machine Learning vs. Data Scientist topic in detail, let us rapidly glance through some hard facts:
What is Data Science?
In simple way, Data Science is the study of data. It involves the visualization and analysis of data composed from multiple sources. These visualizations help in gaining useful insights from the data. If you want to learn Data Science and Machine Learning at the same time then you can sign up for Data Science Master’s Course.
Why do we use Data Science?
According to survey, the quantity of data generated per day is 2.5 quintillion bytes, and it is still rising at a high rate. With such a enormous amount of data in-store, it becomes essential for organizations to make use of this big data to yield huge benefits and vie in the market. This is where Data Science comes into the picture.Machine Learning vs. Data Scientist
Data Science Use Case: Product Recommendation Systems
Today, there are millions of people who buy products online in its place of visiting a store. This is due to the reasonably priced prices that online websites offer to their customers. On the offstage, while shopping online, the customers provide their Internet surfing data. This surfing data consists of the following:
1. Data of the visited sites
2. Products clicked
3. Products added to the cart
4. Stay time on websites or on a particular product
Data Scientist Skills
The field of information Science require certain skills to master it. The skill set required to become a Data Scientist comprises the following:
- Python or R programming language
- Mathematics (statistics and probability)
- Data visualization tools (Tableau or Power BI)
- Problem-solving skills
- MS Excel for data analysis
- Machine Learning algorithms
Data Scientist Salary and Scope
The number of job postings for a Data Scientist is more than 9,000 in January 2020 in India and, in the US, the number is around 15,000. This enormous number shows us a extensive scope in the field of Data Science. as a result, the average salary paid to a Data Scientist in India is ₹625,000 and, in the US, it is US$110,000. Let us look at the salary on the basis of experience:
| Experience | Salary in the US | Salary in India |
| 0-1 Years | US$79,259 | ₹625,489 |
| 1-3 Years | US$95,250 | ₹856,250 |
| 3-5 Years | US$115,358 | ₹1,356,500 |
| 5+ Years | US$130,785 | ₹2,250,825 |
Read: Mandatory Skills to Become Data Scientist
What is Machine Learning?
Machine Learning is a part of Artificial Intelligence. It deals with the creation of automated machines that learn by experience. We use a variety of algorithms to build these Machine Learning models. Then, we expose the automated machines/models to different varieties of datasets for training.
Why do we use Machine Learning?
Previous days, human beings used to store data manually. This is because the data generation source was very less those days. On the other hand, we all know that now we are living in a data-centric world where the amount of data generated per day is in quintillion bytes. However, we can use this data to make a enormous difference in income. It is to make this possible, we use Machine Learning. We construct systems using Machine Learning that help in smart automation.
Machine Learning Engineer Skills
To become a successful Machine Learning Engineer, we have to master the below-mentioned skills:
1. Mathematics (linear algebra, calculus, statistics, and probability)
2. Problem-solving skills
3. Software engineering and system design
4. Data modelling and evaluation
5. Reinforcement learning
6. Natural Language Processing
7. Machine Learning algorithms and Deep Neural Networks
Machine Learning Engineer Salary and Scope
In 2020, the insist for a Machine Learning Engineer is at a high rise. This is because we need automation for smart and efficient business process.
There are 8,000+ vacant jobs obtainable for a skilled Machine Learning Engineer. Industries are involved in paying a decent package for the right skill set.
The average salary of a Machine Learning Engineer is more than that of a Data Scientist. In the US, it is around US$125,000 and, in India, it is ₹875,000.This salary structure is more than enough to decide for a bright career as a Machine Learning Engineer.
| Experience | Salary in the US | Salary in India |
| 0-1 Years | US$85,256 | ₹650,000 |
| 1-3 Years | US$105,351 | ₹975,023 |
| 3-5 Years | US$118,054 | ₹1,525,485 |
| 5+ Years | US$135,096 | ₹2,450,825 |
In this blog, we tried to understand the difference between Machine Learning vs Data Scientist. Also, we looked at some use cases to understand why we use Data Science and Machine Learning in real life.