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Dayananda Sagar Online BCA in Machine Learning

UGCAICTENAAC A+
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Job Roles Dayananda Sagar Online BCA

The diverse roles that you can choose after completing your Online BCA in Machine learning: 

JOB ROLES

AVERAGE ANNUAL SALARY

Junior Machine Learning Engineer

INR 6.00 Lakhs

Data Analyst

INR 6.75 Lakhs

Robotics Programmer

INR 3.00 Lakhs

Computer Vision Engineer

INR 7.00 Lakhs

Natural Language Processing (NLP) Engineer

INR 8.25 Lakhs

ML Ops Support Specialist

INR 5.00 Lakhs

Predictive Analytics

INR 10.0 Lakhs

AI Researcher

INR 8.06 Lakhs

Note: The above salary is taken from Glassdoor and may differ depending on the employer, location, industry and expertise.

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Machine learning Artificial intelligence Machine learning is the subset of artificial intelligence in which computers learn patterns within the data and make predictions or decisions without being specifically programmed to do particular tasks. Machine learning algorithms find patterns and get better at their task over time and with more data, unlike traditional programming based on explicit instructions.

The technical background, some basic programming skills (typically in Python or another object-oriented language), and some basic knowledge of mathematics (in particular, calculus and linear algebra) are typically required.

 

The online courses normally incorporate video lessons, interactive activities, printable materials, and practical assignments. Learning takes place using real-life illustrations, discussion forums, and assessment to cement the knowledge.

Yea sure a certificate provided by a well-known online machine learning course can boost your resume and LinkedIn profile, and prove your technical abilities to your future employers and make you more visible in a pile of job applicants.

Absolutely. Machine learning course online is highly practical, and you will learn to apply machine learning in resolving real-life problems, make data-driven decisions, and deploy solutions to industries.

Best practices entail adequate data preparation, model selection, hyperparameter optimization, overfitting, fairness and transparency of models, and reproducibility as well as efficiency in the entire project lifecycle.

Numerous online resources offer continuous access to course content, new information based on the current developments in the sphere of AI and ML, and a community that will assist you in keeping up with this ever- changing field

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Dayananda Sagar University Online

Dayananda Sagar University Online

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4 out of 5

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