How do I gain experience in Artificial Intelligence (AI) and Machine Learning (ML)?

I. Speak the language

  • Open source
  • Predictive analytics
  • Neural network
  • Algorithms
  • Natural language processing (NLP)
  • Forecast
  • Cluster
  • Regression
  • Model
  • Game theory
  • Data visualization
  • Artificial intelligence
  • Machine learning
  • Deep learning
  • Training data
  • Data set
  • Data classification
  • Narrow vs. weak
  • Strong vs. generalized
  • Supervised vs. unsupervised
  • Database
  • Bias

I. Speak the language

  • Open source
  • Predictive analytics
  • Neural network
  • Algorithms
  • Natural language processing (NLP)
  • Forecast
  • Cluster
  • Regression
  • Model
  • Game theory
  • Data visualization
  • Artificial intelligence
  • Machine learning
  • Deep learning
  • Training data
  • Data set
  • Data classification
  • Narrow vs. weak
  • Strong vs. generalized
  • Supervised vs. unsupervised
  • Database
  • Bias

II. Network

Schedule 1 on 1's to better understand each team member's role in an AI / ML project.

  1. Statistician
  2. Engineer
  3. Legal

III. Develop your skills

  • Decision trees
  • Python
  • MySQL
  • DynamoDB
  • Elasticsearch
  • Database management

II. Network

Schedule 1 on 1's to better understand each team member's role in an AI / ML project.

  1. Statistician
  2. Engineer
  3. Legal

III. Develop your skills

  • Decision trees
  • Python
  • MySQL
  • DynamoDB
  • Elasticsearch
  • Database management

IV. Read / listen

  • Data skeptic podcast (listen)
  • Google's racist gorillas photo recognition algorithm ai (read)
  • Adam Coates, Director at Apple, publications (read)

IV. Read / listen

  • Data skeptic podcast (listen)
  • Google's racist gorillas photo recognition algorithm ai (read)
  • Adam Coates, Director at Apple, publications (read)

Get started.