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Statistics vs Machine Learning: Which is More Powerful

Here is the best ever comparison between statistics and machine learning. Lets know which one is more powerful between these two.

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Statistics vs Machine Learning: Which is More Powerful

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  1. STATISTICS VS MACHINE LEARNING: WHICH IS MORE POWERFUL STAT ANALYTICA Presented by Statistics Experts

  2. Topics to Discuss A brief outline Statistics Machine learning Difference Between Statistics vs Machine Learning Industries using statistics Industries using machine learning Statistics vs Machine Learning They belong to different schools They came up in different eras Types of data they deal with Predictive Power and Human Effort Conclusion

  3. Overview STATISTICS VS. MACHINE LEARNING IS ALWAYS A SIGNIFICANT ISSUE THAT THE STATISTICS STUDENTS FACE. THEY ARE STILL NOT ABLE TO DIFFERENTIATE BETWEEN MACHINE LEARNING AND STATISTICAL MODELING.THE OBJECTIVE OF STATISTICS AND MACHINE LEARNING IS ALMOST THE SAME. BUT THE SIGNIFICANT DIFFERENCE BETWEEN BOTH IS THE VOLUME OF DATA AND HUMAN INVOLVEMENT FOR BUILDING A MODEL.IN THIS BLOG, I AM GOING TO SHARE WITH YOU THE DIFFERENCE BETWEEN STATISTICS VS. MACHINE LEARNING. BEFORE WE GET STARTED, LET’S HAVE A LOOK AT THE DEFINITION OF MACHINE LEARNING AND STATISTICS.

  4. Statistics What is Statistics? Statistics is all about the study of collection, analysis, interpretation, presentation, and organization of data. Whenever we use statistics in scientific, and industrial problem, we begin the process by deciding a statistical model process.Statistics plays a crucial role in human activity. It means that with the help of statistics, we can track human activities.

  5. Machine Learning What is machine learning? Machine learning is the future technology. It is developing at a rapid pace. During the last few years, machine learning has reached the next level. It is used in various fields like fraud detection, web search results, real-time ads on web pages and mobile devices, image recognition, robotics, and many other areas.Machine learning is a part of computer science. It has been evolved from the study of computational learning and theory in artificial intelligence.

  6. Difference Between Statistics vs Machine Learning Nowadays, data is the key to success for the business. But data is constantly changing and evolving at a rapid pace. Therefore the business needs some techniques to convert the raw data into valuable one. For this they take help of machine learning and statistics.Data is collected in the organization from everyday operations. The companies always need to convert the data into valuable data; otherwise, the data is no more than the garbage.

  7. INDUSTRIES USING STATISTICS Almost every industry use the statistics. Because without statistics, we can’t get the conclusion from the data. Nowadays, statistics is crucial for various fields like eCommerce, trade, psychology, chemistry, and much more.

  8. BUSINESS ECONOMICS MATHEMATICS BANKING STATE MANAGEMENT Industries using statistics Statistics is one of the significant aspects of companies.  Statistics is the base of Economics. It is playing a crucial role in economics. Statistics is also an integrated part of mathematics. Statistics help in describing measurements in a precise manner. Statistics plays an essential part in the banking sector. Banks require statistics for the number of different reasons. Statistics is an essential aspect of the development of the country.

  9. INDUSTRIES USING MACHINE LEARNING The evolution of computer and technologies has produced machine learning. Machine learning has changed the way we live our lives. There are lots of industries which are using machine learning.

  10. BUSINESS DECISION MAKING NEURAL NETWORKS Brands are using machine learning to create various models to examine their performance. Machine learning allows the brands to create thousands of model in a week. INDUSTRIES USING MACHINE LEARNING Machine learning is also helpful in decision making. It helps to reproduce the known patterns and knowledge.These patterns automatically applied to the data. Neural networks were used for data mining applications. But after the evolution of machine learning, it is possible to create multiple neural networks that are having many layers.

  11. They belong to different schools Machine Learning Machine learning is a subset of computer science and artificial intelligence. It deal with building a system that can learn from the data instead of learning from the pre-programmed instructions. Statistics Statistics is a subset of mathematics. It deals with finding the relationship between variables to predict the outcome.

  12. They came up in different eras Statistics is quite older than machine learning. On the other hand, machine learning got into existence a few years ago. Machine learning comes into existence in the 1990s, but it was not getting that much popular.But after the computing becomes cheaper, then the data scientist moves into the development of machine learning. The number of growing data and complexity of big data has increased the need for machine learning.

  13. Types of data they deal with Machine learning offers a wide range of tools. For prediction, the data on the fly, we use online learning tools. These tools are the most potent tools and capable of learning from a trillion of observation on one by one basis.But the prediction and lean can do simultaneously. On the other hand, statistical models are generally applied for smaller data with fewer attributes.It is quite overwhelming to process the massive amount of data using statistics.

  14. Predictive Power and Human Effort It is a common thing that nature will not assume anything before forcing an event to occur. So the less the assumption in the predictive model, the higher will be the predictive power.Machine learning is used to reduce human efforts. Machine learning is based on the iteration where the algorithms try to find the pattern in On the other hand, the statistical model is based on mathematics intensive and coefficient estimation.

  15. Conclusion Now you make have get the precise comparison between statistics vs machine learning. One more last thing I would like to mentioned here that machine learning without statistics is nothing.If you’re a statistics student then you can have the best statistics homework help at nominal charges.

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