Hierarchical clustering—describes a set of clustering techniques, including agglomerative clustering—where data points are initially isolated into groups and then merged iteratively based on similarity until one cluster remains—and divisive clustering—where a single data cluster is divided based on the ...
Natural language processing.NLPis a field of AI that deals with the interaction between computers and human language. NLP techniques enable machines to understand, interpret and generate human language in textual and spoken forms. Common NLP techniques include sentiment analysis,named entity recognitionan...
Advantages and Disadvantages of Reinforcement Learning Advantages It helps in solving complex real-world problems which are difficult to be solved by general techniques. The learning model of RL is similar to the learning of human beings; hence most accurate results can be found. Helps in achieving...
we need to break that word down in a way that our machine can understand. That’s where the concept of tokenization in Natural Language Processing (NLP) comes in. This process involves breaking down the text into smaller units called tokens. What is tokenization in NLP is ...
natural language processing (NLP) translation predictive analytics other forms of decision-making While artificial intelligence is an emerging field, it’s fundamental to many disciplines, including data analytics and data science. Techniques such as deep learning and machine learning are both subsets of...
Explore what data annotation is, covering its types, tools, techniques, working mechanism, impact on AI systems, and diverse use cases across industries.
NLP utilizes methods taken from computer and data science,language modeling, linguistics and AI to help computers understand verbal and written forms of human language. Usingmachine learning (ML)anddeep learningtechniques, NLP converts unstructured language data into a structured format vi...
History of Internet Bots Bots predate the Internet, as they previously ran on localcomputersandintranetsto automate tasks. The first bot was ELIZA, a chatbot released in the mid-1960s to simulate conversation using earlynatural language processing(NLP) techniques. ...
A research scientist in machine learning conducts research to advance the field of machine learning. They work in both academic and industry settings, developing new algorithms and techniques. Key skills: Deep understanding of machine learning algorithms Programming (Python, R) Research methodology Strong...
Knowledge of AI techniques such as natural language processing (NLP) and Computer Vision Understanding of core machine learning methods and algorithms like linear regression and decision trees Familiarity with cloud platforms such as AWS, Azure, or GCP Common tasks of an Artificial Intelligence/Machine...