Top 5 Machine Learning Algorithms You Need to Know

Today we are living in a world where the tasks are getting digitized, and most of the work is getting automated. The primary objective of such a change is the changing lifestyle and development of technology. This has led to the development of new machines and tools that makes the task easy and simplified. Most of these machines perform the human-like task, and the technology which is driving this is machine learning. Not only has technology been revolutionary in terms of development, but at the same time, it has also paved the way for new job prospects. Today there is a growing demand for machine learning experts across different industries. Machine learning was one of the best jobs in 2019, and machine learning experts earn an average salary of $146,085 . So, tech-related jobs are in a win-win situation. 

If you want to ensure complete insight and knowledge about machine learning, then you need to pick the right learning platform. There are various online portals offering machine learning certification online programs. These programs focus on covering all the concepts of machine learning, inclusive of the basic details to ensure a seamless learning path for machine learning engineers.

Every machine learning expert has to prepare a machine learning algorithm, which ensures that the final program helps in the seamless functioning of the machine. There is a different machine learning algorithm which one needs to work upon to derive the best results. In this blog, we will be highlighting 5 such skills that are a must for a machine learning engineer. 

5 machine learning algorithm which is a must during the learning path of a machine learning expert : 

1. Linear Regression- Linear regression is a common algorithm that is used by a machine learning expert. It is about arranging a series in a linear order. In this, a relationship is established between a dependent and independent variation by fitting them to a line. The equation that represents this is 

Y= a *X + b

Here

• Y – Dependent Variable

• a – Slope

• X – Independent variable

• b – Intercept

2. Logistic Regression- In this machine learning algorithm, the discrete value is estimated using a set of independent variables. This method is helpful in predicting the probability of an event by fitting data to a logit function.

The following methods are used to improve logistic regression:

• Eliminate features

• Use of the non-linear model

• Eliminate features

• Include interaction terms

• Regularize techniques

3. Decision Tree- One of the common Machine learning algorithms in which machine learning experts use is a decision tree. In this method, the population is divided into two or more homogeneous sets based on certain attributes. 

4. SVM (Support Vector Machine)- In this method, raw data are plotted as points in n-dimensional space. The value of each feature is then tied to a particular coordinate, making the classification easy. 

5. Naive Bayes- This theory is a theory of Bayes theorem. In this the feature of a class or sample is considered independent. Even when you have the data which are related, Naïve Bayes considers them independent while calculating the probability of an event. 

There are few of the many machine learning algorithms that you must learn to become a data learning expert. Many of this algorithm is a part of statistical analysis. Hence, you can conclude that knowledge about statistical tools is a must for those who are willing to become a machine learning expert. 

Conclusion

Building a strong career is important for every individual, and so is choosing the right learning platform. Global Tech Council is one of the leading platforms providing myriads of certification courses, including machine learning certification. This certification program covers all the concepts of machine learning and has been curated for both the professionals and freshers. 

The machine learning training program by Global Tech Council focuses on providing a blend of classroom and practical learning experience. This will help you make the best of your learning experience. When we talk about machine learning training, then it offers a complete knowledge base covering the statistical concepts and machine learning algorithm as well. Our machine learning certification program will help you learn about Deep learning, NLP or natural language, Processing, speech recognition, computer vision, reinforcement learning etc. 

Machine learning is expanding its horizons of growth. Undoubtedly it has become one of the lucrative career options that one can make. The sooner you learn about the concepts of machine learning, the sooner you will be able to make a growth in your career. In the times to come, we are going to see a huge demand for machine learning experts, and with the machine learning certification program, you will surely be able to make your way to become a successful machine learning expert.