Machine Learning (ML) Seminar Abstract and report

Introduction to Machine Learning / ML

Machine learning is a field of computer science that allows computers to learn without being explicitly programmed. Simply put, it is the application of algorithms and artificial intelligence techniques that can analyze large amounts of data and predict future events. Machine learning uses data to develop an algorithm which will then be used by the search engine or other software applications.

Machine learning is the science of getting computers to learn from data.

Machine learning involves getting computers to learn from data without being explicitly programmed. In other words, machine learning is a field of computer science that allows computers to learn without being explicitly programmed.

Use of machine learning

Machine learning involves developing algorithms to learn from data. Machine learning uses statistical methods to discover patterns in data and make predictions about new examples, often unsupervised.

Machine learning has several subfields, including:

  • Image recognition
  • Speech recognition
  • Natural language processing (NLP)
  • Recommender systems
  • Tensorflow (Machine Learning tool from Google)

Advantages of machine learning:

Machine learning is a subfield of artificial intelligence in which computers are trained to perform tasks that require “learning” by analyzing data. The field emerged from the study of recognising patterns in large amounts of data. The two most common types of machine learning are supervised and unsupervised learning. Supervised learning involves providing an algorithm with labelled examples or training data, such as when we show our dog to an unfamiliar person on a leash and ask him/her whether or not it’s friendly. Unsupervised learning involves giving an algorithm unlabeled examples or raw information without any known structure; this type has been used in many areas, such as image processing, speech recognition, natural language processing (NLP), social network filtering (SNSF), medical diagnosis etc.,

Conclusion

Machine learning is a field of study that has grown tremendously in recent years and is now more accessible than ever. The ability to understand complicated data sets with just a few lines of code makes machine learning an attractive option for many businesses that want their systems to become more innovative.

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