In data science, computer science and statistics converge. As data scientists, we use statistical principles to write code such that we can effectively explore the problem at hand.
Source: HOB
16557
Everyone wants to develop "skills in Machine Learning and AI" but few are willing to put in the hard yards to develop the foundational understanding of the relevant Math and CS
Source: HOB4611
There are a lot of computer science graduates and programmers applying for programming, coding, and software development roles at startups like Uber and Netflix; big organizations like Amazon, Microsoft, and Google; and service-based companies like Infosys or Luxsoft, but many of them have no idea of what kind of programming interview questions to expect when you're applying for a job with these companies.
Source: HOB188493
Algorithms and Data Structure are language agnostic and any programmer worth their salt should be able to convert them to their language of choice. Unfortunately, I have come across several programmers who are REALLY good on programming language e.g. Java, knows minor details of API and language intricacies but has very poor knowledge of algorithms.
Source: HOB46125
Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.
Source: HOB3843
Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.
Source: HOB513
It's 2018 now and from last few years, phone interviews also known as the telephonic round is the single most popular way to screen candidates in a programming language job interview.
Source: HOB8331
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