An introduction to machine learning is quite important for beginners. Machine learning is a subset of artificial intelligence (AI) that deals with examining and interpreting data. The data interpreted is then used by several organizations for drawing useful productive insights. Are you planning to opt for a machine learning career?
Well, 2022 is the ideal time because machine learning is creating a buzz among IT professionals swaying the digital space with its scope, applications and tech stack. Several organizations are currently looking for expert machine learning professionals. This seems to be the ideal motivation behind why you need to nurture your skillset to become a well-equipped Machine Learning Engineer. In this article, we will guide you through machine learning career paths in 2022.
How To Build a Career in Machine Learning?
Machine Learning is a career that requires a dedicated approach. Yes, the path to this career is both challenging and interesting. Whether you are a beginner or an experienced IT professional, you must possess a wide range of skills, the popular ones being – statistics, mathematics, programming , probability, data modeling, data structures, algorithms specialization, applying ML libraries & algorithms, software design and more.
Learning Path for Machine Learning Career
This section of the career guide highlights the roadmap needed to become a machine learning expert. Remember, to fit into this ever-evolving world, you have to evolve and update regularly. Here is a step-by-step guide to learn Machine Learning domain:
Step 1: Master the Prerequisites
To learn Machine Learning you have to know some prerequisites. These include Statistics, Calculus, Linear Algebra, Python and more. All of these topics could be mastered via an online machine learning course where you can learn and apply them under the guidance of industry experts.
Statistics: Data is of utmost importance in any Machine Learning career path. A machine learning expert spends around 85% of his or her work in collecting and modeling data. Statistics in that scenario is a field of mathematics that allows them to handle data, collect them, analyze them, thereby presenting them in an analytical way for taking insights.
Python: To be an ideal machine learning expert, Python is an important topic. You must learn and master Python as it is one of the most important programming languages in Machine Learning. There are various Python libraries specifically designed for Machine Learning and Artificial Intelligence such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, Matplotlib, and more. So, if you want to master Machine Learning with Python, sign up for an online Python course. You can enroll for an Online Certification Course on Applied Data Science and Machine Learning with Python By E&ICT Academy, IIT Roorkee.
Step 2: Understand Machine Learning Concepts
Once you are done with ML prerequisites, it is time to shift to actual in-depth Machine Learning. A few machine learning concepts to master are as follows:
Model: It can be represented as a thing that is saved after running a machine learning algorithm on training data. It represents the set of rules, numbers, and any other algorithm-specific data structures required for making predictions.
Feature: It is all about measuring data’s individual properties. You have to learn how to feed Feature vectors into the model as inputs.
Target label: It’s also referred to as a variable. The target level is the value that you need to determine for model prediction.
Training: It is an ML concept where you have to master the art of feeding in a set of inputs (features) and generating output (labels). Once the training is done, you have to design a model (hypothesis).
Prediction: You have to learn how to feed a set of inputs to the model. The model will then provide a predictable output (label).
Step 3: Pursue Machine Learning Courses
A machine learning course is an obligatory aspect of the journey to becoming a machine learning specialist. You have to visit multiple websites that offer you courses and materials to learn machine learning online. However, browsing may seem challenging when it comes to choosing the best option among many.
The IoT Academy is one of the credible online training institutes offering courses in Machine Learning. You can enroll for Advanced Certification in Applied Data Science, Machine Learning & IoT By E&ICT Academy, IIT Guwahati. This training cum certification course establishes credibility for your name and aspiration. The course helps you work on industry based projects and build your portfolio for future employable activities.
Skills Required for Machine Learning Career Paths
The skill set to be a machine learning expert is flexible. However, some of the core that every individual seeking a job in the ML domain should master are – programming skills, statistics, mathematics, and Computer Science fundamentals and more.
Programming Skills
A Machine Learning professional must have hands-on experience working with at least one programming language. The most popular programming language in the Machine learning domain is Python, C/C++, R, Java, Spark, Hadoop, etc.
Statistics
A machine learning algorithm is derived from a statistical approach. So, you need to possess knowledge of statistical concepts. Mean, median, variance, distributions, and analysis are some of the concepts in statistics that you need to learn.
Data Modeling
A machine learning career path is all about analyzing and interpreting unstructured data models. Hence, try to gain hands-on expertise in data modeling and evaluation. Grasp in-depth knowledge of data modeling concepts – identifying patterns, evaluating data, classifying algorithms, etc.
Machine Learning Algorithms
Another critical skill to be a Machine Learning professional is knowledge of machine learning algorithms. You have to know how to apply ML algorithms effectively. Some of the popular machine learning algorithms are supervised learning algorithms, unsupervised learning algorithms, and reinforcement learning.
Software Design
As a machine learning engineer, it is expected of you to develop algorithms and systems that can be easily integrated and communicated with several other existing technologies. You should have strong skills in Application User Interface (APIs) of various flavors (web APIs, dynamic and static libraries, etc.), along with designing interfaces that would sustain future changes.
Machine Learning Career Paths
1. Machine Learning Engineer
A Machine Learning engineer is an expert who uses programming languages like Java, Python, and Scala to run various machine learning models in the applicable libraries. A few skills required to be a machine learning engineer are Probability, Programming, Statistics, Data Modeling, System Design, and Machine Learning Algorithms.
The average machine learning engineer salary in India is ? 7.5 Lakhs per year ( ? 62.5k per month).
2. Data Scientist
Data Scientist utilizes advanced analytics technologies Machine learning & Predictive Modeling to collect, analyze, and interpret large datasets. These professionals are responsible to draw actionable insights for ideal business decision-making. Major skills to be a data scientist are Machine Learning, statistical research, and data mining. The average Data Scientist salary in India is ? 10.6 Lakhs per year (? 88.3k per month).
3. Machine Learning Analyst
A machine learning analyst works with artificial intelligence (AI) systems to analyze data statistically and assess machine learning algorithms. Computer science fundamentals, programming skills, data modeling, and data evaluation are some of the skills to be a machine learning analyst. The average Machine Learning Analyst salary in India ranges from ? 2.6 Lakhs to ? 3.5 Lakhs.
4. Business Intelligence Developer
A Business Intelligence Developer is a specialist in Machine Learning and Data Analytics. In this job role, you have to gather, analyze, and interpret large sets of data to yield actionable insights. To be a Business Intelligence Developer you must master relational databases, multidimensional databases, business analytic servicing, and programming languages. The average Business Intelligence Developer salary in India is ? 6.1 Lakhs per annum. This salary figure rounds to ? 50.8k per month.
Final Thoughts
We hope this article has helped you in understanding how to approach a career in the Machine Learning Domain. In case you are still confused and want to have an elaborative approach to its applications, career path in detail, you can enroll for the courses offered by The IoT Academy.
