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Technologies
Machine Learning
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. It is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects.
Deep Learning
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.
NLP
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. It combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models.
Chatbots
Chatbots are computer programs that use artificial intelligence (AI) and natural language processing (NLP) to understand customer questions and automate responses to them , simulating human conversation. Chatbots can make it easy for users to find the information they need by responding to their questions and requests—through text input, audio input ,or both—without the need for human intervention.
Speach Recognition
Speech recognition, also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, is a capability which enables a program to process human speech into a written format. While it’s commonly confused with voice recognition, speech recognition focuses on the translation of speech from a verbal format to a text one whereas voice recognition just seeks to identify an individual user’s voice.
DevOps
DevOps represents the current state of the evolution of software delivery cycles during the past 20+ years, from giant application-wide code releases every several months or even years, to iterative smaller feature or functional updates released as frequently as every day or several times per day.
AutoML
Automated Machine Learning has become a trending topic in industry and academic artificial intelligence (AI) research in recent years. AutoML shows great promise in providing solutions for AI in regulated industries in providing explainable and reproducible results . AutoML allows for greater access to AI development for those without the theoretical background currently needed for role in data science.
OCR
OCR stands for Optical Character Recognition. It is a widespread technology to recognize text inside images, such as scanned documents and photos. OCR technology is used to convert virtually any kind of image containing written text into machine-readable text data.
Cloud Computing
Cloud computing is on-demand access, via the internet, to computing resources, servers (physical servers and virtual servers), data storage, development tools, networking capabilities, and more hosted at a remote data center managed by a cloud services provider (or CSP). The CSP makes these resources available for a monthly subscription fee or bills them according to usage.
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