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Applied Probability & Statistics for Data Science There will be 10 live online sessions to cover the Python & Data Science Fundamentals, follwed by Project submissions by the participants over a span of 5-weeks.

Python developers are in high demand, not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas.
From web applications to data science and machine learning.
However, it is not enough to just master the language itself.

@ Mumbai, Maharashtra

Artificial intelligence can be used to solve problems across the board.
AI can help businesses increase sales, detect fraud, improve customer experience, automate work processes and provide predictive analysis.
Logistics companies can use AI for better inventory and delivery management

@ Mumbai, Maharashtra

Applications of AI!

Benefits of Chatbots for Business! 🤖
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@ Mumbai, Maharashtra

Data Science requires the basics of Statistics and Maths, which should be clear to be able to *analyze* the problem that are at hand.
To solve problems like team management and control over projects to meet the deadlines you need domain/ business knowledge.

5 main steps involved in Machine Learning!
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@ Pune, Maharashtra

Machine learning offers an effective way for capturing knowledge in data to gradually improve the performance of predictive models and make data driven decisions.
Machine Learning has become an ubiquitous technology, check out it's various sub fields.
Let us know what you think about Machine Learning.
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@ Pune, Maharashtra

Data Science has become fuel for industries!
There are various industries like banking, finance, manufacturing, transport, e-commerce, education, etc that use data science.
Therefore there are several Data Science Applications related to it, and so is the job opportunity.
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@ Pune, Maharashtra

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

Machine learning focuses on the development of computer programs that can access data and use it learn for themselves

Machine learning process can take data from multiple sources to process. As a result, there would be a predictive model that the application of call center could use to make decisions and predictions .
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Big Data improve the extrapolative power of risk models used by banks and financial institutions.
Big data can also be used in credit management to detect fraud signals and same can be analyzed in real time using artificial intelligence.
The advantages of big data are pretty clear!
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Data Science Use Cases!
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