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Artificial Intelligence (AI) focuses on the creation of intelligent machines that are as “smart” as their human counterparts. Machine Learning (ML) provides Artificial Intelligence with the ability to learn and improve on its own and make decisions with minimal human intervention. Artificial Intelligence and Machine Learning are mainstream business tools, which help industries to grow revenue, increase efficiency, reduce costs, and improve customer experiences.
John McCarthy established the field of Artificial Intelligence (AI). According to McCarthy, AI is the science and engineering of creating machines that work intelligently. Artificial Intelligence is accomplished by analysing how the human brain functions during problem-solving, and uses the results as the base of developing intelligent software and systems. The main purpose of AI is to create expert systems and implement human intelligence in a machine. Experts are anticipating that AI will change the traditional working style of industries, in particular, the way they produce, manufacture, and deliver.
Machine Learning (ML) was created by Arthur Samuel in 1959. It provides systems with the ability to learn automatically without human involvement and adjust activities accordingly. ML technology involves different techniques to deal with huge amounts of data in the most intelligent way, in order to derive actionable insights. So, this technology is paramount for those industries, which are working with an extensive amount of data. By gleaning insights from this data, the organisations can work more efficiently and effectively.
Artificial Intelligence (AI) is the “study and design of intelligent agents". An intelligent agent refers to a system that understands its environment and takes actions which maximise its success chances. AI is a scientifically developed system designed into a computer that gives it human-like abilities.
This training course provides in-depth knowledge of application areas of AI and related individual fields within Artificial Intelligence. Delegates will be able to comprehend the basic concepts of AI - Concept of Rationality, Fuzzy Logic Systems, Robotics, etc.
Machine learning (ML) is a component of AI which is used for extracting valuable knowledge from a massive database. ML instruct machines to make decisions in those situations, which they have never seen. Machine Learning helps to solve various problems in multiple areas such as computational finance and biology, NLP, and energy production.
This training course will make the delegates experts in machine learning. Delegates will become familiarised with different concepts such as algorithms, clustering, supervised and unsupervised learning.
Deep Learning is one of the approaches to machine learning, it is also known as deep neural network. It is mainly concerned with the algorithms which are inspired by the human brain. TensorFlow is an open source software library of Google for implementing Deep Learning.
This Deep Learning with TensorFlow training course will provide the delegates knowledge regarding fundamental concepts of TensorFlow, primary functions, operations and the execution pipeline. Delegates will also learn deep learning techniques using tensorflow and how to apply TensorFlow for back propagation.
Natural Language Processing (NLP) is a sub-field of Artificial Intelligence. It focuses on allowing computers to perceive and process human languages. NLP is also defined as the automatic manipulation of natural language and is used to analyse the text enabling machines to understand how human speaks.
This NLP Fundamentals with Python Training course guide the delegates on how to implement the intelligence efficiently. Delegates will learn various concepts like Tokenisation, Lemmatisation, Stemming, etc. and will also acquire knowledge on how to load and manipulate the text data.
Learn to apply industry-relevant knowledge in Machine Learning and Artificial Intelligence (AI)
Enhance your skill set to train intelligent machines
Ability to increase productivity, save time and money through automation of routine processes
Knowledge of AI application areas and related individual fields within Artificial Intelligence
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Resources are included for a comprehensive learning experience.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell