Data science is concerned with extracting useful information from raw data. On the other hand, machine learning is all about allowing machines to learn from data. Both these fields are rapidly growing. In this article, we will try to find out the difference between the two.
With the advancement of technology, the amount of data has also increased exponentially. Data science training in Hyderabad is all about deriving insights from these massive amounts of data.
Good data scientist has good programming skills and great practical knowledge. He or she has to be fluent in languages like R and Python. They also need good statistical skills and analytical skills. The demand for a data scientist is growing very rapidly.
Limitations of data science
One of the most important limitations of data science is that it relies on data. With the growth of technology, we have so much data that it has become difficult to separate good data from bad data.
A career in data science
As a data scientist, you can get a job in any industry that works with huge amounts of data like manufacturing, banking, retail, technology, and many more.
Machine learning deals with teaching computers how to learn from data. A huge amount of data is fed into the computer and it is allowed to draw up an algorithm. This algorithm is tested and if it gives the desired output it is accepted if not, the data is fed again and a new algorithm is created. This process continues until you get the perfect algorithm.
Machine learning is used in a variety of industries like healthcare, technology, business, etc.
Limitations of Machine Learning
Machine learning is still not as advanced as the human brain. You still need human interaction to build the perfect algorithm. We have still not created robots that could think and feel like humans. So using machine learning in critical tasks can be dangerous.
Moreover, machine learning is only good at carrying out repetitive tasks, it cannot carry out analytical and logical tasks.
Importance of Machine Learning
Machine learning is being used in almost every industry. They can take the place of humans and can reduce costs. They are better at doing repetitive jobs that will bore a human.
Data Science vs. Machine Learning
Many people think data science and machine learning is the same thing, but this is far from the truth. Let us find out what is the difference between the two.
Skill sets for a data scientist
- Data mining
- Data visualization
- Programming languages like Python and R
- Data management techniques
- Knowledge about Hadoop, Pig and Hive
Skill sets for Machine learning professionals
- Fundamentals of computer science
- Statistical modelling
- Data architecture
- Data modelling and evaluation
- A good understanding of computer algorithms
- Natural language processing
Both data science and machine learning are growing at a very fast pace. They have great applications in almost every walk of life. If you want to learn any of the two you can enroll in our data science course in Hyderabad.