Machine Learning - ML A short introduction – Jobs and Career Prospects

Machine learning?is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning algorithms use historical data as input to predict new output values. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves.

Machine Learning is an important component of the growing field of data science. Machine Learning field has undergone significant developments in the last decade. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects.?

Machine Learning algorithms are classified into 4 types:

• Supervised Learning - Supervised machine learning algorithms are generally used to either categories data against a model or predict continuous outcomes of new data.
• ?Unsupervised Learning – Unsupervised learning is a machine learning technique in which models are not supervised using training dataset.?It is used for machine learning algorithms to analyze and cluster unlabeled datasets.
• ?Semi-supervised Learning - Semi-supervised learning is similar to?supervised learning, but instead uses both labelled and unlabeled data.
• Reinforcement Learning - Reinforcement learning focuses on?regimented learning processes, where a machine learning algorithm is provided with a set of actions,?parameters and end values.?

Why Is Machine Learning important?

• Machine learning is growing in importance due to increasingly large volumes and variety of data, the access and affordability of computational power, and the availability of high-speed Internet.
• It gives enterprises a view of trends in customer behavior and business operational patterns
• High-value predictions that can guide better decisions and smart actions in real-time without human intervention

Applications of Machine learning :

• Cyber Security
• Fraud Detection
• Self-Driving Cars
• Online Video Streaming
• Traffic Alerts
• Google Translate
• Transportation and Commuting
• Virtual Personal Assistants
• Social Media - Facebook, Instagram,
• Products Recommendations
• Drugs Testing

Reasons Why Machine Learning (ML) is the Best Career Move :

• Huge Job Opportunities & Meeting the Skill Gap
• ML is a skill of the future?
• Learn and grow
• Side-step into data science?
• Salary Aspects – some of the highest salary is paid to Machine Learning Experts
• Numerous Choices in Job Titles
• Fast career growth
• Build a lucrative career
• Work on Exciting projects in some of the largest companies and start-ups globally.

Career Prospects and Jobs for Software Engineers in the domain of Machine Learning:

• The global machine learning market is expected to grow from USD 1.41 Billion in 2017 to?USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%.
• The average salary for Machine Learning Jobs in India is - ? 7,50,000 per year
• The average salary for Machine Learning Jobs in USA is $123,210 per year?

Machine Learning - Roles & their average salary:

• Junior Machine Learning Engineer - ? 3,00,000 - 4,00,000 P.A.
• Data Scientist/ Machine Learning - ? 5,00,000 - 7,00,000 P.A.
• Machine Learning Engineer - ? 10,00,000 - 20,00,000 P.A.
• Machine Learning Operations Specialist - Big Data - ? 12,00,000 - 15,00,000 P.A.
• Machine Learning Application Lead - ? 5,00,000 - 7,00,000 P.A.
• Machine Learning Engineer - III (Data Engineering) - ? 15,00,000 - 19,00,000 P.A.
• Machine Learning Engineer | Data Engineer | Data Scientist - ? 3,50,000 - 5,00,000 P.A.
• Machine Learning Application Lead - ? 7,00,000 - 9,00,000 P.A.
• Machine Learning Manager - ? 12,00,000 - 15,00,000 P.A.
• Signal Processing/Machine Learning Engineer - $180,000 - $190,000 P.A.
• Lead Machine Learning Engineer - $140,000 - $160,000 P.A.
• Machine Learning Engineer - $140,000 - $200,000 P.A.
• Senior machine learning consultant - $170,000 - $190,000 P.A.
• Lead Machine Learning Scientist

View all Jobs here :?https://www.bigdatalogin.com/jobsearch

What are the skills required for Machine Learning Engineer:

• Data Modelling and Evaluation
• Natural Language Processing
• Computer Science Fundamentals and Programming
• Neural Networks
• Probability and Statistics
• Software Engineering and System Design

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?About the author:

Article Contributed by?BigDataLogin?Operations Team - with inputs from various global resources. Website:?www.bigdatalogin.com

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