Blog | Data Science and Technology

Q1. What do you mean by Deep Learning?  Deep Learning  is nothing but a paradigm of machine learning which has shown incredible promise in recent years. This is because of the fact that Deep Learning shows a great analogy with the functioning of the human brain. Q2. What is the difference between machine learning and deep learning? Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning can be categorised in the following three categories. Supervised machine learning, Unsupervised machine learning, Reinforcement learning Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Q3. What, in your opinion, is the reason for the popularity of Deep Learning in recent times? Now although Deep Learning has been around for many years, the major breakthroughs from these te...

Q1. What is Machine Learning? Machine Learning  explores the study and construction of algorithms that can learn from and make predictions on data.  Closely related to computational statistics.  Used to devise complex models and algorithms that lend themselves to a prediction which in commercial use is known as predictive analytics. Given below, is an image representing the various domains Machine Learning lends itself to. Q2. What is Supervised Learning? Supervised learning  is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. Algorithms: Support Vector Machines, Regression, Naive Bayes, Decision Trees, K-nearest Neighbor Algorithm and Neural Networks E.g. If you built a fruit classifier, the labels will be “this is an orange, this is an apple and this is a banana”, based on showing the classifier examples of apples, oranges and bananas. Q3. What is Unsu...