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Category: Analytics

Why your supply chain model is likely to fail

Posted on by Imarticus Learning

Why your supply chain model is likely to fail

When managing your supply chain, the hardest part is often figuring out the suitable model. What’s the best way to ensure you get what you need and when you need it? How do you get the most value out of your supplier relationships? 

These are tough questions that every business owner faces at some point in time, but they don’t have to be complicated. That’s because each business has its unique needs and circumstances. 

To be successful at any level, you need to have a good supply chain model. Therefore, understanding what makes up a successful supply chain system is essential.

Optimizing for efficiency

Supply chain optimization is a strategic function that helps you to get the most out of your resources. It’s also a competitive advantage, business enabler, and source of differentiation.

Supply chain optimization allows you to:

  • Reduce cost (e.g., labor cost)
  • Enhance margins (e.g., transportation costs)
  • Improve quality (e.g., reducing waste through routing)

Viewing supply-chain management as a cost center

SCM is not just about cost reduction. It’s about optimizing the entire supply chain, from planning and forecasting to execution and delivery. If you view supply chain management as a departmental function, your organization will likely fail because it won’t have enough resources or personnel to run efficiently.

Suppose you want your business model to succeed over time. In that case, you need an integrated approach that includes everyone in your organization—from executives who manage budgets for products and services to frontline employees who deliver those goods or services.

Dismissing the importance of trust

The initial step in building a successful supply chain is to ensure that you have the right people in place. You will need to know who your suppliers are, what kind of product they produce, how reliably they can deliver it, and whether or not they will treat your customers well.

Not seeing your supply chain as a strategic asset

This can be a big problem because there are many ways in which improving supply chain performance can provide benefits beyond just cost savings and performance improvements:

  • It will improve customer experience through faster delivery times or reduced returns rate (which leads to greater customer loyalty).
  • It will make employees happier by giving them more time with customers, reducing anxiety about missing deadlines or changing orders as needed, and lowering stress levels for everyone involved!

The key takeaways are that each business needs to build a supply chain model based on its own unique needs and circumstances.

Explore a Career in Supply Chain Management with Imarticus Learning

best supply chain management and analytics courses

The best supply chain management certification course will help managers make strategic, operational, and tactical decisions. Prepare to contribute to the development of more tactical and inventive global supply chains in the future by combining traditional supply chain online courses with data-driven decision-making.

 Course Benefits For Learners:

  • Students are exposed to essential technologies, including six real-world projects, to thoroughly understand the industry and prepare them for a successful career.
  • Completing a supply chain planning allows students to prepare for highly sought-after jobs such as demand planners or data scientists!
  • Python will teach students how to be data-centric and improve supply chain decision-making.

Contact us through chat support, or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Is pursuing a supply chain management career on your mind? Logistics and supply chain management courses can help

Posted on by Imarticus Learning

Is pursuing a supply chain management career on your mind? Logistics and supply chain management courses can help

A business is all about satisfying its customers with superior services and to do that the company needs a fluent supply chain network that works effectively. A well-managed supply chain is implemented for making the connection between the company and the supplier so efficient that it does not affect customer satisfaction. In simple language, a supply chain is for delivering the right service to the right person at the right time. 

Companies are always in high need of supply chain analysts and this indicates the urgency of the supply chain management course. You can also build a supply chain management career with Imarticus which has come up with their Professional Certification in Supply Chain Management Course. If you have no idea where to start, then this article can be the first step in the process of knowing the supply chain industry more intricately. 

Supply chain: Overview

A supply chain is a process that goes through multiple steps including the sourcing of raw materials, producing the product, and delivering the outcome to the users. It is a multiple-layered system that records all the details like activities done in each of the steps, information that is used, human resources that have been devised, and also the details of the natural resources that have been turned into useful components.

Why does a company need to understand a supply chain?

Indeed, this is an intricate process, but there must be some reason why companies need to understand the supply chain. The first reason is that it helps to reduce the company’s overall cost by analyzing all the steps of the supply chain. Any malfunction in one step can harm the overall chain and lead to cost more to the company. 

The other reason is that it helps to develop a strategic plan. A supply chain includes multiple steps and each of the steps belongs to a different industry, like raw material extraction, manufacturing the product, delivering the product, and so on. It helps the company to get ideas about these industries they may plan to enter in the upcoming future. So it is understandable why companies need expert supply chain analysts to grow their business. 

Career options in the supply chain industry

If you want to take up a supply chain management career then here are some options that you can match your expertise with.

Chief supply chain manager: A chief supply chain manager needs to possess an intricate understanding of the business he is involved with and also should have leadership skills. 

Supply chain manager: A supply chain manager is appointed to look after the entire supply chain operation and report it to the senior managers. 

 Purchasing manager: The purchasing manager’s role involves the duties like, managing a strategic purchasing process, evaluating pricing trends, looking after the relationship between the vendor and supplier, and many more.

Logistics manager: The responsibilities that a logistic manager has to perform are enhancing the product workflow, and negotiating the costs of suppliers, shippers, and distributors. 

Production manager: A production manager tracks the production process and makes sure that it does not exceed the budget and stipulated time limit. 

Many other options are going to come in the future because the supply chain industry is reportedly growing and to match the industry requirements, a supply chain management course can be the most effective thing.

Conclusion

With Imarticus Logistic management course you can get the opportunity to learn industry-related skills from the top IIT faculties. The curriculum is designed to help you get relevant skills, proper certification, monitoring, and the other facilities that are needed to become an industry specialist. 

The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

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The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

Read on to find out about the increasing demand for Data Scientists in 2025 as per the latest study by Analytics India Magazine and Imarticus Learning.

Data science is in demand, with 80 percent of companies investing in it worldwide. Organizations widely adopt data science, machine learning, deep learning, and artificial intelligence in the current market scenario. That makes data science important in preparing for changing job markets.

Technology, healthcare, automobile, education, etc., use data science to get ahead in business. They explore unknown data, identify data patterns, and predict future trends.

India’s share in data science and analytics jobs worldwide has increased to 11.6 percent due to the digital transformation across domains. That makes data science a lucrative career.

What is data science?

Data science is a discipline that sizes, shapes, and analyses data. Machine learning in data science is a subset of data analysis. The field is primarily concerned with discovering patterns or making predictions from data. That is the reason businesses interpret data to make efficient decisions. 

Data science is a compatible career choice for people who want to pursue a professional career in dealing with data. It also provides opportunities for people with a business background to apply their knowledge from past jobs to solve problems in different fields of work.

Why should you choose data science as a career?

There are numerous advantages to pursuing a career in data science. We’ve compiled a list of reasons why you should opt for a career in data science and analytics.

A lot of work opportunities.

As we enter our second pandemic year, we have seen people laid off from renowned companies worldwide. Yet, data scientists are in high demand in workplaces and earn the highest median salary out of all the data science and artificial jobs. During the pandemic, the data science sector also saw a remarkable growth of 30.1 percent in April 2022. 

High-paying Salary

Whether you’re just starting in data science and artificial intelligence or have some experience, a competitive remuneration package is critical to your success.

Data science and machine learning job profiles are among the highest-paying job roles in the current market scenarios. 

As per the AIM and Imarticus learning report, India has seen a significant jump in the salary brackets. The number of jobs falling in more than 50 lakhs salary bracket has increased to 20 times. As a result, more professionals are opting for data science and machine learning courses.

Data Scientists are in demand

Data science has become an in-demand skill, and many organizations are adopting it. Data analytics has been adopted by nearly every industry on earth due to its ability to predict trends for customers and employees within the company itself.

From data scientists to data analysts to machine learning engineers, companies need them to apply data science in the company. With more companies adopting data science and more people learning about the potential, the demand for data scientists has been rising.

Easy Career Advancement

Data science is not only restricted to being a data scientist. You can also explore other branches like deep learning, machine learning, artificial intelligence, etc. Climbing up the ladder is easy if you deal with any data interpretation role. 

Extracting information from data is the foundation of taking important decisions in the company. So, when handling any data interpretation role, you play a vital role in strategic decision-making. That’s how you could quickly grow in different business functions and advance your career.

The scope of data science and machine learning is clear. High-paying jobs and career growth are appealing. Everything contributes to data science’s positive outcome, from the salary to job roles to growth. 

Undergraduates or even experienced professionals can learn data science, machine learning, or artificial intelligence by enrolling at an institute. 

You can register for Imarticus learning’s data science and machine learning course and can learn the concepts quickly.

Their program is designed to address industry-relevant learning needs and help professionals build successful careers in data science.

Download the full report here. 

What makes AI certification in 2022 different from previous technology certification courses?

Posted on by Imarticus Learning

What makes AI certification in 2022 different from previous technology certification courses?

In a nutshell, artificial intelligence is a technology that combines computer science with datasets and mathematical optimization in order to solve problems. These include machine learning and deep learning, which are usually referenced in combination with artificial intelligence.

Artificial intelligence techniques are used to develop expert systems that can predict or classify depending on input data. Possessing an AI certification in the year 2022 might just turn out to be an asset for you.

Impact of Artificial Intelligence on the World

online learning

The world we live in is increasingly being shaped by artificial intelligence. It is hard to overstate the importance of artificial intelligence (AI) in strengthening and transforming many businesses throughout the globe. It is becoming more commonplace for organizations and sectors throughout the world to be transformed by artificial intelligence.

Rather than being a vision for the future, the AI present is being used in a range of industries. Corporate finance, health care, transportation, and logistics all fall under this umbrella term.

  • Artificial Intelligence in Corporate Finance: Corporate finance is a great use case for artificial intelligence since it can better forecast and analyze the risk of loans. Artificial intelligence (AI) technology such as machine learning may help businesses raise their value by improving loan underwriting and decreasing financial risk. 
  • Artificial Intelligence in Healthcare: AI and medical technology have been attempting to decipher human speech for more than half a century. Speech recognition and text analysis are standard features in most NLP systems, as are translations between the two. There is a prevalent usage of NLP applications in healthcare to interpret and categorize clinical documents. Unstructured clinical notes may be analyzed using NLP systems, which can provide a wealth of information on patient quality, technique improvement, as well as improved outcomes for patients. 
  • Artificial Intelligence in Transportation: Autonomous transportation might be led by artificial intelligence, for example, to minimize the number of traffic accidents caused by human mistakes. AI has had a significant impact on the transportation industry, allowing for unprecedented degrees of collaboration amongst different road users. Automated vehicle technology is being researched and developed across the world by car manufacturers, technology companies, and research organizations. While some of these innovations are designed to supplement rather than replace human drivers in everyday tasks (such as parking), others are designed to take over all aspects of driving. 
  • Artificial Intelligence in Logistics: As a result of artificial intelligence revolutionizing warehouse activities such as data collection and inventory management, firms may gain efficiency and income. Anticipating customer demand, making changes to orders, and rerouting goods in transit are all possible using artificial intelligence. Using these forecasts, you may make changes to your orders and have the most in-demand items sent to nearby warehouses as required. Artificial intelligence can link warehouses in a supply chain to discover the most efficient method of transferring products.

Conclusion:

Having an AI certification in 2022 might turn out to be really beneficial for any candidate with a technical or non-technical background. A study by Gartner shows that the implementation of artificial intelligence in the industry has increased from 10 to 37 percent from 2015 to 2019 which has increased even more with the years passing by. 

Imarticus has come up with a post-graduate program in data analytics & machine learning that is all-inclusive of what you need to learn so that you eventually possess an artificial intelligence certification. Learn AI from Imarticus with the latest recommended AI tools and get certified in this domain within a time frame of just nine months.

Supply Chain Certification in India: Insight into the Big Data of Logistics and Supply Chain Management

Posted on by Imarticus Learning

Supply Chain Certification in India: Insight into the Big Data of Logistics and Supply Chain Management

Do you have a basic understanding of operations management and programming at your job? Are you a student looking to secure your future with an IIT supply chain management course? 

A certificate course in supply chain management from IIT-Roorkee, one of the best engineering and management institutes in India, is certain to pave the way forward for a career in global supply chain logistics and big data management. 

Why learn supply chain management?

Incidentally, the demand for specialization in supply chain management has increased manifold in recent times. Health and food supply chains, for example, have made a sudden, festering appearance with a need for interventions in maintenance. Along with this, temporary technological support at vulnerable sites and a revolution through big data programming and management are expected outcomes of the leaders born out of this training period. 

In the world of supply chain management, it’s essential to make data-driven decisions to ensure a seamless operational workflow. Since supply chain management and big data analytics is a specialist’s role, the demand for trained personnel has been steadily on the rise. The industry values professionals that can harness the power of data to minimize costs and predict customer behavior. 

A certificate course prepares you for exciting and high-demand profiles like Data Scientist and Supply and Operations Planner. Luckily, your search for an online supply chain management course to tackle emerging global problems is over with Imarticus’s Professional Certification in Supply Chain Management and Analytics. 

Why pick this course?

Imarticus Learning’s online course in supply chain management provides a convenient yet intensive training period for tomorrow’s industry professionals.

The course offers interactive lessons from the best professionals in programming and operations. Real-world and live supply chain management projects will make you future-ready, and an advanced curriculum will support an in-depth understanding of your domain. 

New-age curriculum and professional learning are the need of the hour for students looking to gain a competitive advantage. Live online training with IIT-Roorkee faculty and hands-on training with industry experts will get you there before your peers. 

Learning supply chain operations and management in depth at the IIT supply chain management course is as good as real-world experience in the global market. The IIT supply chain management course has been rated 4.85/5 by approximately 470 learners, making it a must for anyone looking to launch their programming career.

Course features

The certificate course in supply chain management has the following salient features: 

  • IIT-Roorkee faculty and industry experts 
  • Online classes for students and working engineers 
  • Certification in analytics with a specialization in supply chain logistics 
  • Advanced curriculum and hands-on SCM training 
  • Unique modules and in-depth, intensive curriculum and training

Benefits and Takeaways 

The Imarticus Professional Certification in Supply Chain Management and Analytics is a lifetime experience in learning from experts. The faculty will train you to act as catalysts of change and development in global supply chain management and logistics. The salient features to remember while applying are: 

  • A-grade training and facilities from IIT Roorkee 
  • Latest course content with field experience 
  • Multiple languages covered including Python 

Please contact chat support for further details about the course. You may also visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon, for a quick chat with our consultants. Hurry, the clock is ticking till the next deadline for the application for certification. 

Why IIT’s Artificial Intelligence programs are unmatched by those at other colleges

Posted on by Imarticus Learning

Why IIT’s Artificial Intelligence programs are unmatched by those at other colleges

The IITs’ Machine Learning and Artificial Intelligence courses are highly renowned due to their promising results. The course opens up several opportunities as it is utilised in the background of technology across various industries. Keeping in mind all the AI trends, all the branches of the Indian Institute of Technology offers these courses for every student across the nation who wishes to pursue AI.

The IITs have always provided us with groundbreaking research and talented alumni who have made waves in the domains of Artificial Intelligence (AI) and Machine Learning (ML). The Indian Institutes of Technology have started offering these programmes in collaboration with other premier institutes such as Imarticus Learning so that more interested students can have access to high-quality education. This will allow more individuals to gain skills in AI and ML.

Let us lightly touch upon why the domain of Artificial Intelligence is so essential to the modern world. We will then learn about what we can expect from the AI/ML programmes the IITs offer.

What is Artificial Intelligence?

Artificial Intelligence can be understood as the machine’s ability to display and perform human functions and capabilities, such as creativity, planning, learning, and reasoning. It is used mostly to establish viewpoints related to environmental problems, achievement of goals, and problem-solving techniques. The role of the computer is to gather information or prepare the data with the help of various sensors to create a response. 

Where is Artificial Intelligence used?

There are several zones where Artificial Intelligence and Machine Learning are offered. 

  • Advertising and online shopping: Personalised opinions and recommendations are widely propagated due to the usage of Artificial Intelligence. For instance, logistics, planning of inventories, and optimisation of products fall under this category.
  • Web Searching: Relevant search results are only possible due to magnificent work engines with the help of AI.
  • Digital Personal Assistants: AI has turned daily routines simpler by answering questions and offering relevant information. 
  • Machine Translations: This can be both in verbal and written format and is required to help with language translations. Automated subtitling can also be performed due to such AI properties.
  • Smart Homes, Infrastructures and Cities: These smart thermostats are considered to be energy-saving and developers are required to manage and control traffic jams along with improved connectivity.
  • Cars: Nowadays, it can be noticed that every car contains AI-power safety managerial functions. For example, automated sensors are required to detect accidents and dangerous situations. 
  • Cybersecurity: Used mostly against cyber attacks, the role of AI plays a necessary role to input data, recognise patterns and put on warnings. 
  • AI against the COVID-19 Pandemic: AI has been used in thermal imaging as well as thermal projections in various airports and so on. It has also been useful for medical purposes as the infection can be understood better from computerised lung scans. Sufficient data is being acquired to track down medical health issues with the help of AI.

Hence, this proves that Artificial Intelligence is required in every aspect to lead a better life in today’s world. 

What can we expect from IIT’s Artificial Intelligence Programs?

The IIT AI Course, compared to other colleges, offer learners with upskilled knowledge that can be applied across several industries. Imarticus Learning’s Certification in Artificial Intelligence and Machine Learning Course is designed along with the E&ICT Academy, industry leaders and the renowned IIT Guwahati.

Taking place for over 9 months, this program exhibits a practical understanding of machine learning and artificial intelligence. The course is taught by world-class professionals allowing a flexible learning journey as exhibited by NEP 2020. 

The unique part of this course is that it will teach you relevant skills that are necessary for various AI Deep Learning Projects, Business Projects and other AI-specific roles. Also, students can receive an exciting opportunity of a world-class campus education and interact with the peers and faculties of IIT Guwahati. Overall, it will be an enriching experience in terms of learning and a Machine Learning Certification for future job prospects.

Conclusion

Machine Learning and AI is a great discipline to study which has a wide scope. Hence, enrolling in the IIT’s  Machine Learning and Artificial Intelligence Course is proven to be more beneficial and can help to kickstart your career from the beginning itself.  The IITs are known for their excellent syllabus and faculty so a certification from this prestigious institute will surely provide you with an edge.

Why are companies greatly demanding candidates with a artificial intelligence certification?

Posted on by Imarticus Learning

Artificial Intelligence has expanded at an exponential rate in recent years, despite significant progress in the field. In the field of computer science, AI practices can be found everywhere. It provides you with an idea of how many different ways a computer system can be designed.

 It is designed to carry out the cognitive functions that humans have specified. This indicates that the scope of an artificial intelligence course is enormous, and AI has potential that is currently beyond human grasp.

Scope of An Artificial Intelligence Course in India 

Artificial Intelligence has enormous potential to transform every sector of the economy for the greater good. 

AI encompasses a wide range of technologies, including self-improving algorithms, machine learning, big data, and pattern recognition, to name a few. There will be few industries or sectors left unaffected by this potent weapon in the not too distant future. This is why online Artificial Intelligence courses are becoming increasingly popular in India.

With each passing day, the gap between the number of AI professionals required and those available widens. Corporations are spending money to train their existing employees on Artificial Intelligence technologies. However, the demand is far higher.

Learn AI

Certification In Artificial Intelligence & Machine Learning

Learn AI via 25 in-class, real-world projects focused on offering exposure to various industries. This 9-month program will help you prepare for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

This machine learning certification program was established in collaboration with the E&ICT Academy, IIT Guwahati, and industry professionals to give an optimum learning outcome

best artificial intelligence courses by E&ICT Academy, IIT GuwahatiThis course will strengthen your core abilities, allow you to take advantage of our Expert Mentorship program, and give you a practical grasp of AI and Machine Learning.

Data Science Prodegree

Develop your knowledge of Data Science ideas and build robust models to generate relevant business insights or forecasts with a working knowledge of critical Data Analytics technologies such as Python, R, SQL, and Tableau in these 14 in-class and industry-oriented projects.

Take Away 

AI is one of the most popular technologies on the planet because of its diversity and superior solutions. It has been rapidly expanding. As you can see, the scope of AI has broadened to include a wide range of industries, including healthcare, transportation, etc., security, etc. Multiple industries require the expertise of experienced AI specialists as a result of this increase. 

Check out Imarticus IT classes, targeted at working professionals, if you want to learn more about AI and machine learning algorithms.

Supply chain management course with analytics: The cog that keeps things moving

Posted on by Imarticus Learning

Supply Chain Management Course with Analytics: The cog that keeps things moving

The term “supply chain management” conjures up images of warehouses and trucks for many people. But the reality is that SCM is so much more than that. In today’s world, the supply chain is complex and global, and it requires a sophisticated understanding of data and analytics to manage effectively. 

So, in this post, we’re going to look at What supply chain management is, the different aspects of SCM, How analytics play a role in optimizing the supply chain, and the benefits of pursuing a supply chain management course with analytics. 

What is Supply chain management?

Supply chain management (SCM) is the process of coordinating and optimizing all the activities in the supply chain, from raw materials procurement to manufacturing to distribution. The goal of SCM is to ensure that finished products reach consumers in a timely and cost-effective manner. More and more, SCM is being viewed as a strategic differentiator that can give companies a competitive edge.

What are the different aspects of SCM?

There are four main aspects of SCM:

  • Procurement: This is the process of sourcing and purchasing raw materials.
  • Manufacturing: This is the process of transforming raw materials into finished products.
  • Distribution: This is the process of delivering finished products to consumers.
  • Returns: This is the process of handling returns and refunds.

How do analytics play a role in optimizing the supply chain?

Analytics is playing an increasingly important role in SCM, as it can provide insights that help organizations optimize their supply chains. By analyzing data on things like supplier performance, customer demand, inventory levels, and transportation costs, organizations can make changes that improve the efficiency as well as the effectiveness of their supply chains.

What are the benefits of pursuing a supply chain management course with analytics?

There are many benefits to pursuing a supply chain management course with analytics.

  • First, it will give you a better understanding of using data and analytics to optimize the supply chain.
  • Second, supply chain management training helps you develop the skills needed to manage a complex global supply chain.
  • Third, it will allow you to earn a supply chain certification online, which can help you advance your career.
  • Finally, it will position you for success in an increasingly data-driven world.

Explore SCM course with Imarticus Learning.

Imarticus Learning offers a comprehensive supply chain management course with analytics that will give students the skills and knowledge they need to succeed in today’s data-driven world. The course covers all aspects of SCM and includes a strong focus on analytics. 

Course Benefits for Learners:

  • Imarticus Learning supply chain certification is widely recognized and respected by employers.
  • The course is designed to help learners develop the skills needed to manage a complex, global supply chain.
  • The course is designed by IIT faculty and covers all the latest trends in SCM. 
  • Students will get to learn about various analytical tools and techniques that are used in SCM.

Top 7 examples of supervised learning algorithms

Posted on by Imarticus Learning

Top 7 examples of supervised learning algorithms

Supervised learning algorithms are great for solving problems with a large amount of training data. The supervised learning algorithms are great for classifying high-dimensional data representing high-dimensional vectors and matrices. This post will discuss seven examples of supervised learning algorithms.

Linear Regression

It is a supervised learning algorithm that relates the value of one or more independent variables to the value of a dependent variable. The goal is to find linear combinations of these independent variables that can also predict values for your dependent variable.

best linear regression course

The process behind linear regression is simple: you have some data, which might be either a set of samples or entire population distribution.

You then choose one or more continuous variables and their corresponding values and use them as inputs into a linear equation whose coefficients represent how much each input contributes to predicting your outcome variable’s value.

Decision Trees

Decision trees are based on the principle that if you have enough examples of your training data set, then you can use these examples to create one tree per decision variable in your problem. In this case, multiple branches would come out of each node, representing different possible outcomes or predictions made by our model using each input variable.

Support Vector Machines (SVM)

Support vector machines (SVM) are supervised learning algorithms in binary classification. The SVM is also known as a kernel-based classifier. It uses the concept of high-dimensional data points to determine which of two classes (or categories) will be most beneficial for further analysis and prediction.

Logistic Regression

It is a supervised learning algorithm that can use for classification, binary classification, and multi-class classification. Given its probability density function, it predicts the probability of an event occurring. 

Nearest Neighbor

Nearest neighbor is a supervised learning algorithm used to classify data. 

The algorithm uses information about each point in your datasets, such as its x and y coordinates and color or shape, to determine how similar each point is to itself (its Euclidean distance). The value of each feature used by this algorithm will vary depending on what you’re trying to do with your data set.

Gaussian Naive Bayes

The Naive Bayes model is a generative model. (Gaussian) Naive Bayes assumes that each class has a Gaussian distribution. The basic idea behind GNB is that we have a set of training data (a bunch of examples), and we want to predict what event will happen next in our new example. 

Random Forest

Random Forest is a supervised learning technique that uses multiple decision trees to make predictions. It gets used in many fields, including biology and machine learning. 

Learn Machine Learning certification with Imarticus Learning.

Learn how to become an AI engineer by enrolling in the E & ICT Academy’s deep learning Artificial Intelligence certificate program. Students will benefit from this IIT AI ML Course as they prepare for careers as data analysts, data scientists, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • Learners work on 25 real-world projects to gain practical industrial experience and prepare for a rewarding career in data science.
  • With a certificate authorized by the IIT Guwahati, E & ICT Academy, and an Imarticus Learning-endorsed credential, students can impress employers and demonstrate their abilities.
  • Students who complete this machine learning and artificial intelligence course can land lucrative jobs in the field of machine learning and artificial intelligence.

 Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Types and uses of supervised deep learning algorithms

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Types and uses of supervised deep learning algorithms

Supervised learning is a machine learning technique in which data has to be given to the machine to learn by itself. Supervised deep learning is the art of teaching a machine to learn without human help. The idea behind supervised and unsupervised learning is to train your model using a dataset to perform best.

Supervised methods typically predict general categories from large amounts of input data. For example, a supervised neural network might get used to identify a person’s profession without knowing their job title. This post will review supervised deep learning algorithms and explore their various applications in the market today.

Introduction of supervised learning

Supervised learning is a type of machine learning that uses labeled training data to train an algorithm. In supervised learning, you have samples from the target class, such as a set of images or text documents, and you want to learn one or more functions that map each sample into its class (for example, image recognition).

You can use supervised learning for many applications, including classification (training algorithms like neural networks), regression (linear regression), anomaly detection with support vector machines, k-means clustering, etc.

Types of supervised learning

Supervised learning is a type of machine learning where the algorithm gets trained on labeled data. It involves extracting features from the input and then predicting the output of a function based on its input.

The main benefit of supervised algorithms is that they can classify or predict an outcome depending on their nature.

  • Classification is a Supervised Learning task in which the output has defined labels (discrete value)
  • Regression is a Supervised Learning task with a continuous value output.

Supervised Learning Algorithms in Action:

  • Linear Regression
  • Logistic Regression
  • Nearest neighbor
  • Gaussian Naive Bayes
  • Decision Trees
  • Support Vector Machine (SVM) 
  • Random Forest

Uses of supervised deep learning algorithms

It allows one to use the experience to optimize the performance of an algorithm. It solves complex real-world problems such as computer vision, spam filtering, fraud detection, voice recognition, and other applications.

You can use supervised deep learning algorithms for the following tasks:

  • Classification
  • Regression
  • Recommendation systems
  • Facial recognition and image segmentation

You’ll also want to know that supervised deep learning algorithms get used in many other fields, including:

  • Image classification (e.g., object detection)
  • Image segmentation (e.g., text)
  • Image detection (e.g., objects in an image)

Learn Machine Learning and AI Courses with Imarticus Learning.

customized corporate training

Learn how to become an AI engineer by enrolling in the E & ICT Academy’s deep learning certification course. Students will benefit from this IIT AI ML Course as they prepare for careers as data analysts, data scientists, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • Learners work on 25 real-world projects to gain practical industrial experience and prepare for a rewarding career in data science.
  • With a certificate authorized by the IIT Guwahati, E & ICT Academy, and an Imarticus Learning-endorsed credential, students can impress employers and demonstrate their abilities.
  • Students who complete this course on AI and machine learning can land lucrative jobs in the field of machine learning and artificial intelligence.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.