Deep learning vs machine learning are two technological milestones that have redefined digitalization and its implementation. Both are types of artificial intelligence (AI), a trending mechanism to be employed in cross-domains such as e-commerce, banking, marketing, healthcare, education, automobile, security, agriculture, entertainment, and others.
Experts predict a remarkable growth in the application of AI in the approaching years, where the impact of ML and DL will be significant. This blog will cover the understanding of deep learning vs machine learning, coining the chief differences between the two alongside relevant examples.
What is machine learning?
Machine learning (ML) is an AI-based technology that can offer solutions and predictions to queries based on human-based data. It simply gathers human data, analyses it, tracks particular patterns, predicts resolutions, and offers solutions. Machine learning models are primarily constructed to provide human-like results to human queries.
ML and its resolutions can evolve with time in order to elevate its capabilities based on the data gathered and assessed. Machine learning algorithms integrate explicit programming to solve problems.
An example of ML while discussing deep learning vs machine learning is facial recognition technology. Gadgets like smartphones can recognize their users’ faces and allow them to access the device.
What is deep learning?
Deep learning (DL) is a sub-segment of machine learning that leverages artificial neural networks to solve queries. It aims to offer more apt human-like solutions with continuous data analysis. Deep learning algorithms use various hidden data processing layers to generate output that nearly replicates the human brain.
Self-driving cars are a solid example of DL while evaluating deep learning and machine learning. Such vehicles are integrated with deep learning capabilities of collecting data and assessing it in multiple hidden layers of neural networks to offer traffic resolutions.
For its operational resolutions, many sectors, such as logistics, robotics, finance, retail, and healthcare, have employed DL. Its pattern-finding procedure is divided into multiple stages, which contribute to sharing the appropriate solution to any problem.
What is deep learning vs machine learning?
Though both deep learning and machine learning are types of AI, and the former is a subcategory of the latter, they have specific differences. AI is determined to assess human data to offer human-like solutions to problems; ML and DL follow the same objective but with different approaches and deeper understanding. Following are the key distinctions between deep learning vs machine learning-
Category:
Machine learning is an AI category, but deep learning is a segment of ML. It indicates ML can offer enhanced AI results, and DL can provide more operational ML output.
Process:
Deep learning vs machine learning also suggests that ML utilizes explicit programming to offer solutions to the problems. On the other hand, DL uses various layers of artificial neural networks to solve queries.
Required data:
Machine learning requires thousands of data points, whereas deep learning needs millions of data points. Hence, the former can process with smaller data sets, and the latter requires bigger ones.
Human intervention:
Machine learning seeks extended human intervention to correct predictions and relearn aspects. However, deep learning requires limited human interference as it can learn and relearn aspects based on its past outcomes and mistakes.
Training and accuracy:
ML may need limited training but can offer low accuracy in solving problems. However, DL may take longer for training but can reflect high accuracy.
Other requirements:
Machine learning can be processed on a CPU, but deep learning requires a separate GPU (graphics processing unit).
Summing Up on deep learning vs machine learning!
Deep learning and machine learning are two mounting tech trends that are going through several developments. Both are segments of AI but have specific unavoidable differences between them. The above-mentioned factors are the chief distinctions between deep learning vs machine learning. These differences will enhance the readers’ knowledge about the two AI types. Read our blogs to learn about other tech trends.