A decade ago, very few people cared for Artificial Intelligence (AI). Did you see this technology evolution coming? Probably not. However, today it has become a significant career opportunity for professionals across countries. According to various skills indexes, AI and machine learning are one of the fastest-growing skills in the technology sector.
According to Grand View Research, the global machine learning market size was worth USD 6.9 billion in 2018 and expected to grow at a Compound Annual Growth Rate (CAGR) of 43.8% from 2019 to 2025. An important subset of AI, machine learning is today being used for email filtration, identifying network intruders, optical character recognition (OCR), improving advertising campaigns, asset management, among others. Be it any industry – banking, healthcare, IT, manufacturing, or retail, machine learning has left its footprint and poised to further drive the market.
But, are you the one among many who have heard about machine learning, willing to explore the field but haven’t got a chance to know more? Then, this article is for you. It introduces you to the exciting world of machine learning, what skills are required for related jobs and how can a machine learning online course help you.
What is Machine Learning?
Machine learning is the science of enabling computers to perform specific tasks without being directly programmed. Such machines learn from experience, much like humans, and make decisions when fed with new data. They give meaningful information without being told where to gather it from. There are certain algorithms that assist machines in learning through an iterative process.
The process involved in machine learning is choosing an algorithm and providing training data as input. When the system is trained, it is given a new set of data. If the algorithm works correctly, it will give the desired results. It there is a deviation between desired and actual output, the system is again trained with more iterations.
There are basically three types of machine learning you’ll come across, namely:
- Supervised learning – the system learns from labeled data and trained to gove predictions for unknown data
- Unsupervised learning – the system is trained with unlabeled data and it tries to find patterns and give the desired result
- Reinforcement learning – a trial and error method is followed to discover data and the system is rewarded if the action taken is right
Some of the popular machine learning algorithms are:
- Linear regression
- Logistic regression
- Support vector machine
- Naive Bayes classifier
- K-means clustering
- Random forest
Skills Required to Get Started in Machine Learning
You need to have some prior knowledge before starting out with machine learning. Professionals usually have at least a graduate degree in computer science, math, statistics, or related field while searching for machine learning related jobs. While different companies look for different skills for machine learning engineers, here are some of the common requirements you should fulfill.
- Knowledge of data modeling and data architecture
- Fundamentals of programming language like Python, R, or C++
- Knowledge of data structures, computer architecture, and algorithms like searching, sorting, approximate algorithms, etc.
- Advanced mathematics concepts like probability, linear algebra, and calculus
- Statistical computing and numerical computing
- Evaluation strategy to check which model would suit a given scenario
- How to visualize data and tools used
- Basics of machine learning frameworks like TensorFlow and Keras
- Basic understanding of Hadoop or any other distributed computing systems
Salary and Demand
If surveys from popular job portal Indeed.com are to be believed, Machine Learning Engineer topped the list of The Best Jobs in the US: 2019 with a whopping average base salary of $146,085 with 344% growth in the number of job postings from the year 2015 to 2018. Top companies like Walmart, Facebook, Google, Novartis, Boeing, UiPath, and Netflix are in the lookout for skilled machine learning engineers.
Here are the top job roles that require machine learning skills:
- Data Scientist
- Machine Learning Engineer
- NLP Engineer
- Software Engineer in Machine Learning
- Data Analyst
If you are a machine learning engineer, then you’ll be responsible for doing the following tasks at any organization.
- Build machine learning and deep learning systems as per needs
- Transform the prototypes of data science
- Perform complex computations and use appropriate algorithms
- Run machine learning tests and experiments
- Train the models with right data sets and tune their hyperparameters
- Manage the infrastructure and data pipelines to bring code to production
- Perform statistical analysis and verify if the test results are as desired
- Ensure that the teams are implementing best practices to enhance the existing machine learning infrastructure
Take up a Training Course
Becoming an elite machine learning engineer requires a unique combination of technical skills, mathematical know-how, and problem-solving skills. Given the demand for such professionals, it is surprising that many aspirants don’t the skills employers look for. Well, you’ll not disappoint the hiring managers if you choose a machine learning training course to learn everything from scratch. An online course is best suited for working professionals who can’t spend much time doing an academic program.
So, save yourself from a challenging time looking for the study materials and consider participating in a certification program to excel in this field. Opportunities for machine learning engineers are many in the marketplace, all you need to do is gain the relevant skills and open your doors for them.