Machine learning (ML) and deep learning (DL) are both processes of creating an AI-based model using a certain amount of training data, but they are different from each other.
ML is used with an algorithm that can be supervised or unsupervised to implement the training data and build a model that can work automatically when used in real life. On the other hand, deep learning is part of Machine Learning and has more capability to understand the data or, you can say, comprehend the data deeply to create an artificial neural network.
How ML is Different from Deep Learning?
While working with deep learning, you need high-capacity machines to perform large amounts of matrix multiplication operations. Compared to machine learning, deep learning requirements include GPUs, while ML can be performed at low-end machines.
Compared to ML, deep learning takes more time to train the models for maximum accuracy. Deep learning has a more complex problem-solving capability compared to machine learning. ML is basically used for object detection and object recognition.
From an interpretation point of view, most machine learning algorithms are easy to interpret, while deep learning algorithms are difficult or impossible to understand. The execution time in ML is much smaller (from a few minutes to hours), while deep learning can take up to weeks to train and develop the AI model for complex predictions.
Working with deep learning requires a huge amount of data, or big data, while machine learning can be trained with a smaller amount of data compared to deep learning. DL algorithms will not work well or give accurate results with smaller datasets. A huge quantity of supervised data sets is required for the model to work properly.
Cogito is a well-known company providing high-quality machine learning training data. It is engaged in image annotation services to label the data to make it recognizable for computer vision and train a machine learning or deep learning model. It provides such data sets for AI-oriented model development for different industries like healthcare, retail, automotive, and agriculture at the best competitive pricing in the market.
