PythonTraining.net’s Machine Learning course will simply help you gain expertise in machine learning, a kind of AI which automates big data analysis to adapt and learn with experience to perform certain tasks without complete programming. With the help of Advanced Machine Learning,you will excel in the concepts and techniques of machine learning, including unsupervised and supervised learning, heuristic and mathematical aspects, as well as hands-on modeling to prepare yourself as Machine Learning Engineer and to develop algorithms.
Why Best Machine Learning Course in Delhi?
Machine Learning is ruling the world and the need for professionals Who are well aware of the ins and outs of machine learning is growing. The machine learning has lion’s share in the market and is expected to further grow to US$ 8.81 bn by 2022 from US$ 1.03 bn in 2016, at a CAGR of 44.1% during the period.
Machine learning Training Objectives
Machine learning, a form of artificial intelligence, has become the leader in the world of computing along with digital interactions of all the individuals. It is very affordable, quick, and faster to process and analyze a large amount of complex data with machine learning. Hence, it is truly said to be the future of programming. It powers innovative and automated technologies as facial recognition, recommendation engines, self-driving cars and fraud protection.
In this Machine Learning course, you will get hands-on training and knowledge needed for job opportunities and if you are a data scientist, engineer or other professional. There is a huge demand for machine learning these days. According to payscale.com, a Machine Learning Engineer can earn up to US$134,293.
What skills will you get In this Course?
- Master the concepts of reinforcement, supervised and unsupervised modeling and learning concepts.
- Achieve proficiency in algorithms, principles, and applications of machine learning with practical training, which covers multiple projects.
- Gain complete knowledge of heuristic and mathematical sides of machine learning.
- Comprehend theoretical concepts and how well they can relate to the practical sides of machine learning.
- Know the operation and concepts of vector machines, naïve Bayes, kernel SVM, random forest classifier, decision tree classifier, K-nearest neighbors, logistic regression, and K-means clustering.
- Learn the theoretical concepts and the way they relate to the practical sides of machine learning.
- Ability to model different types of machine learning algorithms, such as clustering, deep learning, and recommendation systems.
Who is this Machine Learning Training for?
This advanced course is recommended for these professionals –
- Analytics managers having the team of analysts
- Developers Who want to become machine learning engineers or data scientists
- Analysts Who aspire to get the ins and outs of data science techniques
- Information architects Who desire to achieve excellence in machine learning algorithms
- Analytics pros Who aspire to work in artificial intelligence and machine learning
- Graduates Who want to build a career in machine learning and data science
- Experienced pros Who want to develop the skills of machine learning in their fields to achieve more data.
