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What is Machine Learning?

Machine Learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention and is the field of study that gives computers the capability  to become more accurate in predicting outcomes without being explicitly programmed.

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At Codersarts.com hire top Machine Learning Expert — the leading programming help website for short-term, recurring, and full-time Machine Learning contract work.

Why Machine Learning is Important?

Large volume of data is generated everyday by billions of user using internet. For a human being it's not possible process data and get insight from data. These data is very important and profitable for business to guide customer behaviour and activity. Machine learning is collection of  advanced algorithms which process data. If short, In machine learning we perform three main  tasks:

  • Train the model

  • Test the model

  • Predict the model

But perform these three task we'll have to do lots pre-processing task. The two main challenges of machine learning to data preparation and accurate data collection. then divide data into labels/Fields or properties.

The second task is to  select the best model suited for data.To learn and understand machine learning need statistics skills to predict and evaluate data mining results and predictions.

The Industries   using machine Learning?

Financial services

Finance Industry like Banks and others institution  use machine learning technology to identify important insights in data, and prevent fraud or  help investors know when to trade. Data mining can also identify clients with high-risk profiles, or use cyber surveillance to pinpoint warning signs of fraud.

Health care

Machine learning can assess a patient's health in real time and medical experts can analyze data to identify trends or red flags that may lead to improved diagnoses and treatment. From playing a critical role in patient care, billing, and medical records.  Identifying Diseases and Diagnosis,Medical Imaging Diagnosis

Government

Government us machine learning for public safety since they have multiple sources of data that can be mined for insights. Analyzing sensor data, for example, identifies ways to increase efficiency and save money. Machine learning can also help detect fraud and minimize identity theft.

Retails

Analysis of customer buying patterns with invalid/fraud requests, Analyzing customer interactions with virtual assistants and chatbots, Performing retail analytics at scale to understand year on year growth,Customer sentiment analysis

Transportation

Analyzing data to identify patterns and trends is key to the transportation industry, which relies on making routes more efficient and predicting potential problems to increase profitability. The data analysis and modeling aspects of machine learning are important tools to delivery companies, public transportation and other transportation organizations

Oil and gas

Finding new energy sources. Analyzing minerals in the ground. Predicting refinery sensor failure. Streamlining oil distribution to make it more efficient and cost-effective. From oil and gas giants to renewable green tech, the energy industry produces a lot of data. AI is perfect for processing large data sets and producing actionable insights

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India: (+91) 7292 00 7989

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