It is needless to say that a new age of technology and development is at the brink of establishment. Any individual well versed in contemporary technological development will agree that data interpretation and manipulation along with multidisciplinary integration is at the fore-front of this revolution. Machine learning is possibly the biggest technological domain under development for the forthcoming industrial revolution. In essence, machine learning is the science of giving power to the machines to take decisions on their own without being programmed.
Machine learning technologies and processes inherently allow machines to undergo data analysis through automated analytical model building. With the help of algorithms, machines learn from data iteratively allowing them to find solutions in gaps without being explicitly programmed to search in the gaps. Machine learning at small levels using algorithms have been around for a long period of time but its implementation on big data over and over, faster and faster has only been a development in the recent decade.
Machine learning has also paved way for more complex and deep data mining and Bayesian analysis techniques. The ever growing volume and variety of data demands computational processing that is cheap and more powerful along with affordable storage of data. Machine learning allows the user to quickly and automatically create models that can analyze more complex data and perform all these feats. This will directly lead to creation of system models that allow more profitable opportunities and avoidance of unknown risks.
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The machine learning course takes the trainee from the beginning of theoretical fundamentals to complete application practices. Machine learning is a domain which is completely un-implementable until the individual is well versed in the core theoretical fundamentals. Thus, our course focuses on developing the fundamentals of machine learning which is an amalgamation of statistics and mathematical functions. This is available in both modes of online machine learning course and offline too as per the trainees' requirements.
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Duration : 40 Hours
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