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Home Big DataMachine Learning
Machine Learning Course
Net Tech Machine Learning course will make you master in the field of machine learning, a kind
of artificial intelligence that enables the computer to learn to do specific tasks through the
instructions and explicit programming. Through this course, the candidate will be able to learn
the different techniques and concepts, including mathematical and heuristic aspects, hands-on
modeling to develop the algorithm and to ultimately prepare you for the job of machine
learning engineer.
What is Machine Learning Language?
The language is taking the world by strides- and with that, there is a growing demand of companies who need professionals who know the ins and outs of machine learning language. The machine learning language market size is expected to grow at the multifold rate from USD 1.03 billion to USD 8.82 billion by 2022, at a CAGR of 44.1%.
What are the course objectives?
Machine learning is revolutionizing the world of computing by making the process of computing easy. It is a quick and easy way to analyze a vast amount of complex data. Machine learning seems to be the future of learning. The automated technologies like facial recognition not only help fraud prevention but also help in improved productivity. The course is best for engineers, data scientists and professionals who want to gain competency in the field of machine learning. The demand for machine learning skills is growing by leaps and bounds. The median salary of machine learning professional is $134,293 as per the Payscale.
Back to topWhat skills will you accomplish?
After the completion of machine learning course, you will be able to
Master the concepts of reinforcement, supervised and unsupervised learning concepts and modeling
Gain practical experience on principles, algorithm and application related to machine learning language through hands-on projects
Will help you to acquire knowledge about mathematical and heuristic concepts related to machine learning
Understand the different concepts related to kernel SVM, random forest, K nearest, clustering, and much more.
Learn the theoretical concepts related to the machine learning and apply it in a practical way.
Learn robust machine learning algorithm including clustering, deep learning and recommendation
To whom this course is suitable for
The demand for machine engineers is on the rise across different industries making this course suited for the professionals with intermediate experience. This course is suitable for the professionals
For the aspiring data scientist or machine engineer
Data analytics who is keen to learn data science techniques
Information architects who want to learn about machine learning algorithm
Analytics professionals who want to learn machine learning or artificial intelligence
Graduates who want to build their career in the field of data science and machine learning
Experienced professionals who want to harness machine learning language in the field to its advantage
Back to topAvailable delivery methods for this course:
Classroom
In-house
Online
Virtual
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