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: HOBEveryone 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: HOBMachine 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: HOBMachine 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: HOBThese days organizations look for the ways where they can prepare the data very quickly and appropriately for solving the challenges of data and enabling machine learning. The data should be cleaned and accurate it should be checked before the data is brought to the model of machine learning or any other project of analytics.
Source: HOBSkills of data analytics have become the leading factor in terms of the advanced development and for the career perspective, the demand of the data analyst is increasing day by day. There are several online courses which you would prefer if you want to build your career as a data analyst as it will help you to learn the fundamentals of data science, the key tools of data science and the study of programming languages in the analysis of big data.
Source: HOBThere are many people who are interested in machine learning these days. One thing is very clear that machine learning has arrived.
Source: HOBTo write a good code it requires skills on Algorithms and Data structures, failing of which coding seems the most difficult and frustrating task by any programmer.
Source: HOBThe 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.
Source: HOBSome HiTech Engineers or college grads will now pop up and say Coders & Programmers are same but they are NOT.
Source: HOBSo this video will give you a glimpse of the experience of a man who worked at Google in Montreux as a software developer/software engineer for a little over a year.
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