Data Science vs Machine Learning

At its core, Data science is the field of study of data. Its aims are to use a scientific approach to extract meaningful insight from data. On the other hand, Machine learning refers to a group of techniques that data scientists use to allow computers to learn from data.

Nowadays many companies use modern technologies such as Artificial intelligence, Machine learning, Data Science, Big Data, Deep Learning and many more. The popularity of these technologies is continuously rising. Many companies required professionals in Data science and machine learning and these technologies are high on demand for their business growth. and many job openings are there in MNCs companies.

However, It seems like there are so many misconceptions among people regarding these technologies. This post will help you to get the exact figure of these two technologies where you get to know the detailed information about it.

What is Data Science?

Data science is the study of Data that involves the development of recording, storing and analyzing data to extract the knowledge. It includes programming skills, Expertise in Domain and mathematical & statistical knowledge to exact the meaningful insight from data. The Data is used by Data Scientist to understand your behavior and push you into retargeted advertisements and deal to get you to purchase what you browsed. Data science is also related to Data mining and Big data and it uses technologies such as machine learning and artificial intelligence to extract meaningful information of data and predict future patterns and behavior.

What is the Benefit of Data Science in Business?

• Reduce the chances of Risk and Fraud. Data scientists are trained to identify the data and create a statistical, network path and big data methodology to predict the fraud propensity models and help in recognize the unusual data.
• Data science helps to deliver the right product at the right time and help companies to develop new products to meet their customer’s need.
• The ability for sales and marketing teams to understand their audience needs and pushed them into retargeted advertisements. With this, they can create the best possible customer experience.
• It helps in decision making, By using of existing data, Data scientist create models that simulate a variety of potential actions- In this way, an organization can able to learn that which path will bring the best business outcomes.

Skills required to become a Data Scientist

If anyone wants to build a strong career in this field they have to gain critical skills in three departments: Analytics, Programming and domain knowledge. The following skills will help you to increase your level in Data Science.

• Knowledge of advanced machine learning (Deep Learning)
• Strong knowledge of Python, R, SQL Database.
• Understanding of statistics and statistical programming
• Data-driven problem solving
• Good Hands-on knowledge of data visualization.

What is Machine learning?

Machine learning is the aspect of artificial intelligence, mathematics & statistics that allow the system to learn automatically. It is a group of techniques that data scientists use to allow the computer to learn from data. It uses an algorithm to set mathematical rules for data learning and it depends on the quality and quantity of data sets for effectiveness. Machine learning great in solving problems that are extremely labor-intensive for humans. It allows the system to find the various type of hidden insight and make a prediction about complex topics in an efficient way. 

What is the Benefit of Machine learning in Business?

• Machine learning algorithms help the business to take the correct decisions.
• Help in the detection of spam
• Enhance cybersecurity and network performance and helps in solving the big cybersecurity issues and improve the organization’s security.  
• It analyzes the purchase history of customers and based on this it suggests the products to the customer and enhance the company’s sale.
• Help in eliminates manual data entry.

Skills required to become a Machine learning Expert

If you want to boost up your career in Machine learning and want to become a machine learning expert then there are following skills that will help you to increase your level in machine learning.

• Expertise in Computer science fundamentals.
• Depth knowledge of programming skills
• Good knowledge of probability and statistics
• Having explicit knowledge of data modeling concepts.
• Software engineering and system design 

If you want to explore detailed information about Data Science and Machine learning and want to get a job in MNCs companies with a high salary package then join “Nearlearn”.

Nearlearn is the top leading Machine Learning training institute in Bangalore where you get classes at affordable prices as compared to other institutes. We provide trainers having 10+ years of industry experience in relevant skills. We trained our students from basic level to a high level and give placements support in various companies. Nearlearn provides both classroom training and online training facility and trained our students on live projects. If you want to take an in-depth knowledge of machine learning and data science then Nearlearn is the best Institute.