Top 5 Machine Learning Algorithms You Need to Know

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• Session 1

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• 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.

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• 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.

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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

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• 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.

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• 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.

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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.

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