Terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science are always used interchangeably! But, obviously they are different and meant for specific reason! For layman, it okay to use them vaguely but for a programmer it is NOT! You need to be clear in what context they are been used because the objective here changes. So, we have curated this short piece so that this confusion goes once for all! So, lets get to it!
1. What is Artificial Intelligence
Now as per Wikipedia, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. So, it is the advanced branch where we are not just programming machines to handle cases to give the output but building a model to be able to predict an outcome! Its not just else-if, it is an analysis to be able to work and learn on the base of environment through large set of data. For example- Amazon Website is an AI website to be able to recommend what a user might be wanting to buy!
2. Artificial Intelligence Vs Machine learning
Now, we say that Amazon’s site is AI equipped but how it is been able to be so is through Machine Learning!Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.By aggregating and analyzing purchasing data on products using machine learning, Amazon more accurately forecast demand. Now, you would know the difference between artificial intelligence and machine learning!
3.Machine Learning Vs Deep Learning
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Hence, it is further a subset of machine learning!As Ralf Herbrich Director of Machine Learning & Managing Director of Amazon Development Germany states “We use deep neural networks in many applications; one of the most visible applications is in the speech recognition of Alexa (a distributed training algorithm is described in the 2015 INTERSPEECH paper “Scalable Distributed DNN Training Using Commodity GPU Cloud Computing” by Nikko Strom). Whenever you speak to your Echo, features from a deep neural network are used to describe the audio stream in order to detect the wake-words (“Alexa”, “Amazon”, or “Echo”). Once the wake-word is detected, neural networks are used to predict the sequence of phonetic states from the audio sequence of the whole microphone array.” So, machine learning and deep learning are used in different context!
4.How Data Science is Connected to AI,ML,DL
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data.And hence to build an Artificial Intelligence system/device using machine learning and in which through may be deep learning among many people work on huge amount of data to collect, work on, mine and clean where data science comes in picture.Now we are sure you would be aware of the main difference between Machine Learning, Artificial Intelligence, Deep Learning and Data Science.