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Artificial & Machine Learning for AnyBody, Everybody and All

#artificialintelligence

This course model will teach you how to teach, train and create Machine Learning models faster, easier without writing a single line of code. Just come as you are and leave with some understanding of Machine Learning. No prior knowledge is required. Even little children can teach and train a Machine Learning model. There are interesting links to help us understand how AI & ML is/are changing society, the pros and cons and so much more.


AnyBody Artificial & Machine Learning for Everybody and All

#artificialintelligence

This course model will teach you how to teach, train and create Machine Learning models faster, easier without writing a single line of code. Just come as you are and leave with some understanding of Machine Learning. No prior knowledge is required. Even little children can teach and train a Machine Learning model. There are interesting links to help us understand how AI & ML is/are changing society, the pros and cons and so much more.


Qiskit Machine Learning API Reference -- документация Qiskit Machine Learning 0.2.0

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This is the Qiskit s machine learning module. There is an initial set of function here that will be built out over time. At present it has sample sets that can be used with classifiers and circuits used in machine learning applications. Class for errors returned by Qiskit's machine learning module.


50 Examples of Machine Learning & AI in Data Analysis

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Analytics has been changing the bottom line for businesses for quite some time. Now that more companies are mastering their use of analytics, they are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more. That's why companies are looking to implement machine learning (ML) and artificial intelligence (AI); they want a more comprehensive analytics strategy to achieve these business goals. Learning how to incorporate modern machine learning techniques into their data infrastructure is the first step. For this many are looking to companies that already have begun the implementation process successfully. For call centers, using ML and AI means having conversation analytics software in place – in fact, decades ago call centers began using primitive forms of artificial intelligence.


Developing Machine Learning Skills on the Job - DATAVERSITY

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Data continues to inhabit every facet of human existence and so the need for competent Data Scientists to help leverage the insights from that data will invariably increase for the foreseeable future. According to a past EMC Data Scientist Study and the 2015 Global IT Report, the amounts of data created by the year 2020 will be upwards to 44 times what they were in 2009. Data Scientists use Machine Learning (ML) skills to develop powerful algorithms to make sense of the avalanche of data. Thus, Data Scientists with superior Machine Learning skills will be the transformative heroes of the digital world. Machine Learning teaches computers to conduct particular tasks like pattern diagnosis and recognition, planning, or prediction without the presence of any programming control ML generates "algorithms" that turn into self-teaching entities when exposed to data.