Machine Learning Infographic – Everything You Need to Know About ML

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What is Machine Learning?

ML is the art of granting machines the ability to think. It is a field of computer science that uses statistical techniques to give machines the ability to learn without being explicitly programmed. Researchers claim this is a good way to observe progress toward human-level AI. This Machine Learning Infographic is specially designed for beginners, covers all the basic concept of ML in an image form.

Machine Learning deals with building algorithms that can receive input data, perform statistical analysis to predict output, and update the output as newer data become available.

Machine Learning is – Optimizing a performance criterion using example data and past experience. Alpavdin

Netflix saved $1 Billion in 2018 because of its Machine Learning algorithm. StatWolf

The revenue generated by AI software will grow from $1.4 billion in 2016 to $59.8 billion by 2025. Tractica 

Machine Learning Infographic

Learn Machine Learning for beginners

Kinds of Learning in ML

ML is a subset of Artificial Intelligence (AI). One part of the family of machine learning methods is Deep Learning. This is an approach to Machine Learning and is based on learning data representations (feature learning) instead of on task-specific algorithms.

The three kinds of learning in Machine Learning are:

  1. Supervised Learning
  2. Unsupervised Learning
  3. Reinforcement Learning

Steps in Machine Learning

Often, we carry out the following set of steps in Machine Learning:

  1. Collect data
  2. Filter data
  3. Analyze data
  4. Train algorithms
  5. Test algorithms
  6. Use algorithms for future predictions

Ethical Challenges in Machine Learning

There are some ethical challenges that Machine Learning presents:

  • Digitization of cultural prejudices on use of systems trained on biased datasets (algorithmic bias)
  • Training of machines on languages corpora that contain biases
  • The possibility that these systems in the health care field might be designed not in public interest, but to boost income

While Machine Learning can prove to be really effective in improving health care, these ethical questions must be addressed first.

We hope this Machine Learning infographic could serve to intrigue you to consider a career in the domain. We have a complete series of Machine Learning tutorials. You may refer them to learn Machine Learning. Keep reading and leave your comments and suggestions below.

 

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