Machine learning and deep learnings are brothers and sisters. They have the same origin but work with different procedures. Machine learning is a backdated method in which computers learn using algorithms to perform a task without being pre-programmed. On the other hand, deep learning uses a complex structure of an algorithm specifically modeled on the human brain. This must be like sister technology but have heel and heaven difference between them. While machine learning needs manual input, deep learning is programmed with complex algorithms that can function without human interference. Humans are in a race to make life easier in this fast-paced life, and deep learning seems to fit perfectly. Become a Data Scientist with 360DigiTMG Data Science course in Hyderabad. Get trained by the alumni from IIT, IIM, and ISB.
The main difference between machine and deep learning
Machine learning is a computer learning from data using algorithms to perform a given set of tasks without being explicitly programmed. In contrast, deep learning is a subset of machine learning based on the human brain, which can function with unstructured data like documents, images, and text. Specifically, we can identify deep learning as a subset of machine learning which is further a subset of artificial intelligence.
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What can be expected from machine learning?
Machine learning is a technology where the computer learns from the data. It can be described as the intersection of computer science, where algorithms perform a specific task without being heavily programmed. In place of being programmed, they work on recognizing patterns once new data has been input manually. This can be done with or without supervision. It rather depends upon the data that feeds the algorithm. A traditional machine learning algorithm may be very simple such as linear regression. For instance, if we have to determine the age of any person with respect to his father, we can put a simple linear equation. Machine learning will input the data accordingly. The driving force behind machine learning is ordinary statistics. Machine learning is based on the intersection of computer science and statistics through which computer receives the ability to learn without being heavily programmed. Machine learning can be of two types specially supervised and unsupervised and can be very simple. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!
what can we expect from deep learning?
It is a subset of machine learning, but it uses complex algorithms similar to human brains to work with raw data like images, text, and documents. This field has been a lot of hype recently and is considered a mathematically complex evolution of machine learning algorithms. Deep learning can analyze the data very similarly to the human brain as it is complexly programmed. Like machine learning, deep learning can also be divided into supervised and unsupervised parts. Deep learning uses a layered structure algorithm called the artificial neural network. This structure is inspired by the biological neural network of the human brain to be similar to the human brain. Want to learn more about data science? Enroll in the Best Data Science courses in Chennai to do so.
Conclusion
No doubt that computers and it’s AI have made human life easier. Deep learning is an evolution of machine learning which has made complex tasks much easier as it can work better without human interference, and one program can be used for various tasks at a time. Machine learning has been deployed in many upcoming technologies like tesla cars, google assistant, and many more. Earn yourself a promising career in data science by enrolling in the Data Science Classes in Pune offered by 360DigiTMG.
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