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Tag: Linear Regression in Machine Learning

TOP 10 APPLICATIONS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN DIVERSE INDUSTRIES

Posted on by Imarticus Learning

Artificial Intelligence is the indispensable future. It is already in power and used by diverse industries like healthcare, education, and finance.

And now, deep learning has come as an addition to the next level of technological advancement. This blog post explores ten applications of artificial intelligence across different industries.

 TOP 10 BEST APPLICATIONS OF DEEP LEARNING

Virtual Assistants

AI Deep Learning has led to virtual assistants that understand natural languages; the best examples to quote being Siri, Alexa, and Google Assistant. The technology allows them to comprehend human speech more than before, turning everyday words into actionable data.

A virtual assistant is an application that handles day-to-day tasks and answers questions using artificial intelligence, natural language processing (NLP), and machine learning algorithms. Today, there are many popular virtual assistants: Amazon’s Alexa, Apple’s Siri; Microsoft Cortana; Google Now.

Chatbots

The chatbot has rules that use natural language processing to communicate with users. Chatbots can engage in one-on-one conversations and group chats on Facebook, Slack, or Telegram platforms.

Healthcare

Deep Learning & Artificial intelligence has found their application in diagnostics and healthcare. It combines the input of a large set of variables with historical patterns from similar cases to make accurate predictions on patient outcomes. It enables doctors to provide better diagnoses and personalized treatments.

Entertainment

Creators are using it to engage their audiences and create new experiences. For example, many music companies are using it for music composition. In contrast, other multimedia giants like Disney explore storytelling possibilities such as virtual reality movies or interactive games.

News Aggregation

A news aggregator is an application that collects articles, videos, and other content from different sources to organize it into categories.

Composing Music

Computer-generated music is possible because of AI methods. Such as generative adversarial networks (GAN). Computers can create new musical compositions inspired by those composed by humans.

Image Coloring

This technology is being used for image coloring as well. It is a visualization of an uncolored photo or artwork. It helps artists and designers understand how their work will look when it gets printed on paper.

Robotic

AI/ML and Deep Learning allow robots to learn from their own experiences by performing a task. For example, they can become more efficient at drilling holes in walls. Thus they perform the same action many times across different surfaces through deep reinforcement learning.

Automobiles

Automobile companies are also exploring the benefits of applying this technology to their cars. They have begun using computer vision and image processing techniques, which allow vehicles to learn how to drive over time by detecting any obstacles on the road. This technology helps prevent accidents as well as reduces traffic congestion through self-driving cars.

E-commerce

E-commerce uses it for product recommendations and helps consumers make better buying decisions. Thus providing them with a shopping experience based on their preferences and behavior patterns.

Why Enroll In AI Progam At Imarticus Learning

artificial intelligence courses in IndiaImarticus Learning offers Artificial Intelligence and machine learning courses that improve students’ foundational abilities.

Take advantage of the Expert Mentorship programs from Imarticus Learning to learn about Artificial Intelligence and Machine Learning in a real scenario.

This program enables you to gain access to attractive professional prospects in the disciplines of Artificial Intelligence and Machine Learning. This intensive 9-month curriculum prepares students for roles like data scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

Some course USPs:

  • The course lets the students learn job-relevant skills that prepare them for an exciting Data Science career.
  • Impress employers & showcase AI skills with a certification endorsed by the most prestigious academic collaborations of India – E&ICT Academy, IIT Guwahati, and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students learn the practical implementation of AI/ML & Deep Learning techniques through real-world projects.
  • Flexible Learning Journey that gives you the flexibility to transfer program credits for a period of 1 year.

For further details, contact us through the Live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

Linear Regression and Its Applications in Machine Learning!

Posted on by Imarticus Learning

Machine Learning needs to be supervised for the computers to effectively and efficiently utilise their time and efforts. One of the top ways to do it is through linear regression and here’s how.

Even the most deligent managers can make mistakes in organisations. But today, we live in a world where automation powers most industries, thereby reducing cost, increasing efficiency, and eliminating human error. The rising application of machine learning and artificial intelligence dominates this. So, what gives machines the ability to learn and understand large volumes of data? It is through the learning methodologies such as linear regression with the help of a dedicated data science course. 

So, what is linear regression? Simply put, machines must be supervised to effectively learn new things. Linear regression is a machine learning algorithm that enables this. Machines’ biggest ability is learning about problems and executing solutions seamlessly. This greatly reduces and eliminates human error.

It is also used to find the relationship between forecasting and variables. A task is performed based on a dependable variable by analyzing the impact of an independent variable on it. Those proficient in programming software such as Python, C can sci-kit learn the library to import the linear regression model or create their custom algorithm before applying it to the machines. This means that it is highly customisable and easy to learn. Organizations worldwide are heavily investing in linear regression training for their employees to prepare the workforce for the future.

The top benefits of linear regression in machine learning are as follows.

Forecasting

A top advantage of using a linear regression model in machine learning is the ability to forecast trends and make feasible predictions. Data scientists can use these predictions and make further deductions based on machine learning. It is quick, efficient, and accurate. This is predominantly since machines process large volumes of data and there is minimum human intervention. Once the algorithm is established, the process of learning becomes simplified.

Beneficial to small businesses

By altering one or two variables, machines can understand the impact on sales. Since deploying linear regression is cost-effective, it is greatly advantageous to small businesses since short- and long-term forecasts can be made for sales. Small businesses can plan their resources well and create a growth trajectory. They will also understand the market and its preferences and learn about supply and demand.

Preparing Strategies

Since machine learning enables prediction, one of the biggest advantages of a linear regression model is the ability to prepare a strategy for a given situation well in advance and analyse various outcomes. Meaningful information can be derived from the forecasting regression model, helping companies plan strategically and make executive decisions.

Conclusion

Linear regression is one of the most common machine learning processes in the world and it helps prepare businesses in a volatile and dynamic environment. At Imarticus Learning we have a dedicated data science course for all the aspiring data scientists, data analysts like you.

Frequently Asked Questions

Why should I go for a data science course?

The field of data science has the potential to enhance our lifestyle and professional endeavours, empowering individuals to make more informed decisions, tackle complex problems, uncover innovative breakthroughs, and confront some of society’s most critical challenges. A career in data science positions you as an active contributor to this transformative journey, where your skills can play a pivotal role in shaping a better future.

What is a data science course in general?

Data science encompasses studying and analysing extensive datasets through contemporary tools and methodologies, aiming to unveil concealed patterns, extract meaningful insights, and facilitate informed business decision-making. Intricate machine learning algorithms are leveraged to construct predictive models within this domain, showcasing the dynamic intersection of data exploration and advanced computational techniques.

What is the salary in a data science course?

In India, the salary for Data Scientists spans from ₹3.9 Lakhs to ₹27.9 Lakhs, with an average annual income of ₹14.3 Lakhs. These salary estimates are derived from the latest data, considering inputs from 38.9k individuals working in Data Science.