How Data Science, Artificial Intelligence, Machine Learning & Deep Learning are Related?

Data Science

Data science includes data analysis. It is an important component of the skill set required for many jobs in this area. Data Science manages both structured and unstructured data. It is a field that incorporates everything that is related to the purging, readiness and last investigation of data. Data science consolidates the programming, coherent thinking, arithmetic and statistics. It catches information in the keenest ways and supports the capacity of taking a gander at things with an alternate point of view. But it's not the only necessary skill. They play active roles in the design and implementation work of four related areas:

•        Data architecture
•        In data acquisition
•        Data analysis
•        In data archiving

Artificial Intelligence

Artificial Intelligence is a technique which enables computers to mimic human behavior. In other words, it is the area of computer science that emphasizes the creation of intelligent machines that work and reacts like humans. With increasing world of AI, knowledge transfer is also very much necessary. Types of Artificial Intelligence:

•        Narrow Artificial Intelligence
•        Artificial General Intelligence
•        Artificial Super Intelligence

Machine Learning

Machine Learning is a subset of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed and to make intelligent decisions. It also enables machines to grow and improve with experiences. It has various applications in science, engineering, finance, healthcare and medicine. There are 3 types of Learning Algorithms:

•        Supervised Machine Learning Algorithms
•        Unsupervised Machine Learning Algorithms
•        Reinforcement Machine Learning Algorithms

Deep Learning

Deep Learning is a subset of Machine Learning which deals with deep neural networks. It is based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations. Machine Learning Conferences has added the topic Deep Learning Conferences which will clear the doubts & will add more knowledge from the most innovative minds throughout the globe. Any Deep neural network will consist of three types of layers:

•        The Input Layer
•        The Hidden Layer
•        The Output Layer

How Does Data Science Relate to AI, ML & DL?

Data science is the use of statistical methods to find patterns in data. Statistical machine learning uses the same math as data science but integrates it into algorithms that get better on their own. Artificial intelligence is the general field of "intelligent-seeming algorithms" of which machine learning is the leading frontier now. Also, enables to find meaning and appropriate information from large volumes of data. This makes it possible for us to use data for making key decisions in business, science, technology, and even politics.

Contact Person: Amelia Smith

Email Id: machinelearning@enggconferences.com; ameliasmithml@gmail.com