Group items tagged

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts.

Python is a general purpose programming language & is one of the most demanding languages in IT industry at present. It provides constructs which make possible programming on both higher & lower scale possible. It supports many programming paradigms which are functional and procedural, imperative, object-oriented. It has many libraries such as Deep Learning, Data Visualization, NLP, Core Python, Machine Learning, etc.

Many Companies like Amazon, FlipKart, Google, Yahoo, Facebook, Twitter, etc are using Data Science and Deep Learning for analytics and predictions. Just imaging when you go for shopping then your mobile phone can easily suggest you the shops where to go and buy products.

As Python is one of the most demanding language in IT companies and it has a variety of libraries like core Python, ML, Deep Learning, Analysis, Visualization, NLP, etc. select the best institute to get trained is again a challenge but the only suggestion I recommend is you should be ready to travel few kilometers if you really get worth quality, personally check the trainer quality by attending Free Seminar in institutes first and check who is the best one based on your comfort zone.

Data Analyst usually explains what is going on by processing history of the data. On the other hand, Data Scientist not only does the analysis to discover exactly from it, but with this, they need to use various advanced Machine Learning algorithms to identify the occurrence of a particular event in the future. A Data Scientist will look at the data from many angles.

Want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive learning path to people new to python for data analysis.

The Data Analytics and Data Science are vast fields. So if anybody decides to do self-study without any institutional guidance, precision will lack and there is also a question as to how that person is going to learn as to how to apply the theoretical knowledge he gained at practical level.

Those who are from Mathematics background like B.Sc/M.Sc in Math or Statistics. And those who are working in IT like ETL Developer, Database Developer, Data warehouse developer or Hadoop Big Data Developer/Analyst can easily switch on Data Science because this field is again related to data.