Machine Learning

 Top must-have AI skills for AI engineers in 2020

As an AI professional, you need to be well-versed with programming skills and other technology and frameworks.

  • Probability, statistics, linear, and algebra
  • Algorithms and frameworks like a recurrent neural network, Naive Bayes, KNN, Support Vector Machine, linear regression, and frameworks namely Theano, PyTorch, Caffe, and Tensor, etc.

  • Big data technologies like MongoDB, Hadoop, Cassandra, and Apache Spark, etc.


  • Transport: Self- driving cars have already populated the market, however, a driver is required at the wheels for safety purposes trying to establish themselves at the top in this market, it will not be long before driverless vehicles become a reality.
  • Some basic level questions come from this area. So be prepared of descriptive statistics and inferential statistics.

    Interviewer does not expect from you to know all math behind all machine learning algorithms. But tip is that you should know basic math (or workings) of machine learning algorithms which are used in your projects.

      coding questions and logical (Puzzle) 

    Coding questions preparation is for students who are non-CS background. I don’t know much about what level of coding questions to prepare for non-CS background. But for CS background, if you know basics of programming, data structures and algorithms, then no extra preparation is required.

    Logical questions come from anywhere. So, don’t worry for this. Only tip is develop a small habit of solving puzzles on a daily basis. Because I got same puzzle asked which I read in whatsapp puzzle message. And also you can think better during interview if your brain is already trained to think logically more


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