Machine learning (ML) is a data-driven technology subset of artificial intelligence, enabling computers to learn from past data and make decisions. The application of ML lies in various domains where the problem is complex and can’t be solved by human computational methodologies.
Recently, the need for machine learning has increased manifolds, and the applications of the same have taken the world by storm. The future of AI is evident in the advent of “smart cars” and products like “Alexa.”
The future of computer science depends a lot on machine learning, making it the premier emerging technology in the market.
There are three types of machine learning:
- Supervised machine learning: This ML type uses data to arrive at the pre-determined output using data to train a computer to conclude. It is widely utilised in spam detection.
- Unsupervised machine learning: This ML type uses data sorting to uncover hidden patterns. It has widespread application in the image recognition field.
- Reinforcement machine learning: In this type, the model takes the help of past experiences and thereby comes to an outcome. This ML type uses real-time data; accordingly, errors from the model are removed to make it more accurate.
Whenever a new technology emerges, there is a dire need to train human resources. Machine learning is no different; therefore, a suitable course that covers all the relevant aspects of ML is necessary for today’s scenario.
The machine learning course must provide students with an insight into algorithm building using mathematical models.
In general, a machine learning course covers the following topics:
- Data Science
- Data mining
- Statistical learning
- Pattern Discovery
- Python, R, SQL
Data plays a vital role in ML, and proper data analysis strengthens the model, helping the computer make correct decisions. The field of data science requires substantial knowledge of statistical principles and computer programming languages like R, Python, and SQL. Therefore, the course must cover the basics of programming languages and their application as machine learning algorithms.
The machine learning course Chennai has considered all the above aspects and designed the curriculum to teach students the latest technology in machine learning.
The students will benefit significantly from practical applications of the concepts learned, enhancing their hands-on experience. The course also covers guest lectures from industry leaders and provides students with deep knowledge of current market trends.
After completion of the course, the students can get jobs in the AI field as:
- Data Scientist
- Data Engineer
- Database manager
- Database developer
- Big Data Analyst
Equipped with relevant domain knowledge, the students can hope to build an exciting career in the emerging field of artificial intelligence. This course is available both in online and offline mode.