Machine learning

Machine learning

1. What is it?

   • Machine Learning Is a scientific discipline in the field of Artificial Intelligence that creates systems that learn automatically

2. Types of Machine Learning

   • Supervised Learning
     • Computers learn through previously made examples so that in the future they can do everything by themselves.
   • Unsupervised Learning
     • Computers infer information from a set of data.
   • Reinforcement Learning
     • The machine learns through trial, error, and situations.

3. Advantages and Disadvantages

   • Advantages
     • Automate processes, Provides precision, Reduce human error, Reduce the time spent on data analysis
   • Disadvantages
     • Lack of qualified professionals, The cost and implementation time of AI projects, Data availability

4. Applications

   • Face detection. We see it on our phones.
   • Anti-virus. Detecting malicious software.
   • Genetics. In the classification of DNA sequences.
   • Reading Comprehension
   • Autonomous vehicles and robots.

5. Examples of Companies

   • Amazon, Netflix, Spotify, eBay, Pymes en general.

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