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Tag: best artificial intelligence and machine learning course

Developing digital health care solutions with an artificial intelligence and machine learning course

Posted on by Imarticus Learning

In the current times, digitization is seen in every sector, and healthcare organizations are not far behind. Artificial intelligence with machine learning and algorithms is the newest aspect of the technological developments that can help to automate various processes.

If you are interested in implementing AI in healthcare, you can opt for Imarticus Learning’s artificial intelligence and machine learning course. The course includes relevant use of technology across industries, including healthcare. 

How to Implement Artificial Intelligence and Machine Learning in Healthcare? 

Artificial intelligence has various roles in the healthcare industry. If you choose to get an artificial intelligence certification, you will learn more about the following aspects. 

 

  • Prediction of Treatments

 

Artificial intelligence and machine learning can be implemented for the accurate analysis of patient information. AI solutions can analyse medical conditions and help doctors arrive at accurate treatment plans that will be beneficial to the patients. While reviewing all medical information is necessary for correct diagnosis, doing so manually increases workload and may even lead to errors. Artificial intelligence and machine learning can automate specific processes and ensure error-free treatment plans. 

 

  • Improvement of Workflow

 

From the IT infrastructure in healthcare organizations to diagnostic tasks, workflows can be automated and optimized. This will improve business processes and ensure better outcomes. All organizational tasks will be seamless and less time-consuming. 

 

  • Detection of Anomalies

 

Most healthcare organizations include digital databases and rely on workflow automation. While AI can assist in automation, it can also monitor the entire system. Failure of systems in any industry leads to loss, however, in the healthcare industry, anomalies can lead to loss of lives and not just revenue. Therefore, it is important to use artificial intelligence and machine learning tools to detect gaps within the system so that professionals can take better precautions. 

 

  • Introduction of Opportunities for Clinical Trials

 

While artificial intelligence solutions are capable of predicting treatment plans through a thorough analysis of symptoms, they can also assist in clinical trials. Artificial intelligence can be used to determine if certain patients are suitable candidates for trials. Such solutions can also help doctors predict patient responses to trials. AI and machine learning create space for safer clinical trials by ensuring that patients can withstand treatments. 

How Can Imarticus Learning’s Al ML Course Prepare You for a Career in Healthcare? 

If you wish to enter the healthcare sector and work in the digitization of healthcare solutions, then Imarticus Learning’s Certification in Artificial Intelligence & Machine Learning is a great option. Our course is in collaboration with E&ICT Academy and IIT Guwahati. So, you will have access to lectures and curricula designed by renowned academicians and industry professionals.

At Imarticus Learning, we ensure that the IIT AI ML course prepares students for a long and rewarding career in data science and machine learning engineering. You will be attending live sessions for eight hours every week and we encourage you to interact with all teachers and peers. Imarticus Learning creates opportunities for students to network and hones their soft skills while preparing for work in the industry.

To ensure hands-on experience, we offer twenty-five projects that are based on real business issues and more than one hundred assignments. 

The certificate course in artificial intelligence and machine learning at Imarticus Learning is ideal for students who have completed graduation in computer science, engineering, statistics, mathematics, science, or economics. If you have a minimum of 50%, you can enroll in our program and receive education and industry training from experts.

Vectors are over, hashes are the future of artificial intelligence

Posted on by Imarticus Learning

AI (artificial intelligence) aims to have computers capable of thinking independently. We are getting closer to achieving that goal, but there are some obstacles in the way. One problem is how computers understand language and communicate with humans. This blog post will discuss how hashes are the future of Artificial Intelligence.

What are vectors and hashes, and how do they differ?

Vectors are a mathematical structure that represents multiple values as a single entity. You can use Vectors in artificial intelligence for matrix multiplication and deep learning tasks. On the other hand, Hashes are a data structure that can store an object’s key-value pairs. You can use hashes in computer science for caching and data mining tasks.

Vectors are better for tasks that require large amounts of data, while hashes are better for jobs that require a small amount of data. For example, vectors are used in deep learning because they can handle a lot of data. Hashes are used in data mining because they can take a small amount of data.

Why are hashes becoming more popular in the world of AI development?

You can use them to teach computers about the environment around them. It’s easy for machines to see what something looks like, but it is much more difficult for them to understand how that object will act in specific scenarios without prior experience. It means hashes can provide a foundation of knowledge that AI systems can understand.

Most importantly, hashes offer a way to understand how the world works without requiring large amounts of data. It is essential because it takes multiple datasets to train neural networks for AI development, and those can be difficult to obtain in some cases.

How can hashes be used to improve the accuracy and efficiency of AI systems?

One way hashes can improve the accuracy and efficiency of AI systems is by reducing the number of dimensions in a vector space. In other words, hashes can help reduce the complexity of data while still preserving its information content. Additionally, you can use hashes as a form of error detection and correction. Incorporating checksums into hash algorithms makes it possible to detect and correct data errors without recomputing the hash.

It can be beneficial for large datasets that are difficult to process in their entirety. Finally, you can use hashes as a form of compression. By representing data as a series of hashes, it is possible to reduce the size of the data while still retaining its information content.

Explore and Learn AI with Imarticus Learning

The Artificial Intelligence certification program collaborates with the E&ICT Academy, IIT Guwahati, and industry professionals to deliver the most satisfactory learning experience for aspiring Artificial Intelligence and Machine Learning students. This curriculum will prepare students for a data scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

Course Benefits For Learners:

  • This Artificial Intelligence course will help students improve their Artificial Intelligence basic abilities.
  • Students can now take advantage of an Expert Mentorship program to learn about Artificial Intelligence and Machine Learning in a practical setting.
  • This course will assist students in gaining access to attractive professional prospects in the disciplines of Artificial Intelligence and Machine Learning.

2022 trends in AI: Learn python from scratch

Posted on by Imarticus Learning

Artificial intelligence (AI) is a tool that allows individuals to reconsider how we combine information, analyze data, and apply the ensuing insights to better decision making—and it is already affecting every aspect of life.

Artificial intelligence (AI) is a technology that is revolutionizing every aspect of existence. It is a versatile tool that allows individuals to reconsider how we combine information, evaluate data, and apply the ensuing insights to make better decisions. Given the human ability for deliberation, judgment, and purpose, AI is widely understood to refer to computers that respond to stimuli in ways that are compatible with conventional human responses.

Algorithms for artificial intelligence are trained to make decisions based on real-time information. They are not the same as passive machines, which could only operate in programmed ways. They integrate information from many sources using sensors, digital data, or remote inputs, instantaneously evaluate the content, and act on the knowledge acquired from those data.

 AI Trends that will rule in 2022:

  1. Hyper-automation will be a primary force in digital transformation, with the goal of streamlining operations to increase efficiency, accuracy, and productivity. As the world continues to embrace digital technologies as drivers of innovation and growth, RPA will be critical in laying the groundwork for accelerating corporate operations in the coming years.
  1. As more of the globe pivots to remote working platforms, 2022 will see AI being employed for precautionary cybersecurity activities. This is largely due to the expansion of workers’ personal laptops and PCs being used to access organizations’ servers that put firms susceptible to cyber-attacks.

    Regretfully, fraudsters are employing AI technology to circumvent traditional IT security mechanisms in order to breach systems containing important commercial and personal data. However, AI also aids in the battle against cyber threats, and we anticipate that more organizations will invest in safeguarding their data through the employment of advanced cybersecurity solutions this year.

  1. AI-powered by quantum computing might eventually be used by modern enterprises to address complicated business challenges faster than classical AI. Quantum AI allows for quicker and more precise data analysis and trend prediction. As a result, it supports diverse firms in detecting unexpected issues and developing appropriate solutions. As a result, quantum AI will transform several industries.
  1. The use of AIOps has become the new norm. They were used to enhance essential processes and duties of an organization’s IT operations through improved analysis of massive quantities and categories of acquired data as complicated IT ecosystems and technologies continue to evolve.

    Organizations gain from more accurate estimates that lead to improved decision-making chances by leveraging Machine Learning’s (ML) capacity to acquire and synthesize massive data volumes. Furthermore, through data correlation, this technology enables cross-team cooperation, opening the path for end-to-end digital experiences through whole corporations.

  2. AI-on-5G integrated computing framework delivers a high-performance and secure connection network for integrating sensors, computing systems, and AI applications.

 Conclusion:

 Python is the most popular web development programming language. Scalability and machine learning are two important characteristics that contribute to the language’s attractiveness. It can handle millions of users and create a powerful web application.

The AI trends that are listed above will be largely dependent on Python. Hence, getting a hang of this programming language might help you kick-start your dream career. The Artificial intelligence course in E&ICT Academy, IIT, will teach you all the necessary skills you need to excel in the field of AI. It will teach you Python from scratch along with other programming languages necessary and give you an AI certification for a bright career in the field of AI.  

Here’s what happens when you master the concepts in artificial intelligence

Posted on by Imarticus Learning

Artificial Intelligence is the ability of machines to take action or make decisions on their own without human supervision. AI fundamentally tries to emulate the intelligent behavior of human beings and handles tasks similarly, if not in a more efficient manner.

Artificial Intelligence is also attributed to being faster and being unbiased (unless training data is biased). AI, Deep Learning, and Machine Learning power a lot of services and products we use in our day-to-day life.

Implementations of AI

Here are some implementations of AI:

  • Autonomous Vehicles: Autonomous Vehicles such as Teslas are AI-driven and are able to avoid collisions and navigate around with ease with the help of various sensors such as LiDAR and cameras.

  • Robots and Drones: Robots and Drones are becoming autonomous with the help of AI and now do not require human supervision or a human remotely controlling these machines.

  • Chatbots: Chatbots are smart response systems that are great implementations of AI-powered by NLP or Natural Language Processing. Chatbots are becoming smarter and cannot be distinguished from real human beings soon.

  • Virtual Assistant or Voice Assistants: Virtual Assistants and Voice Assistants such as Cortana, Siri, or Google Assistant are all powered by AI and learn from our actions as well as data from users worldwide to make our digital experience better or to carry out tasks for us better.

  • Sentiment Analytics: Sentiment Analytics use AI that is trained with the help of data that has been labeled with positive, negative, or any other custom sentiments. With the help of this and NLP, the software is able to determine the sentiment behind textual data, social media posts, or content.

  • Search Engines: Search Engines such as Google and Yahoo are powered by AI as well to make searching for things easier and fetch the most relevant results. The AI models in Search Engines are trained to fetch related results as well.

  • Smart Homes: Smart Homes used IoT (Internet of Things) devices and various sensors in devices such as phones and watches in order to provide homeowners with a better experience or a customized experience. For instance, setting the right temperature when the owner returns home or turning on specific lights when the user goes into a room. These smart homes can also be customized directly through mobile devices but owners can also decide to let them act autonomously.

  • Predictive Texts and Spell-check: Predictive texts are spell-checking features that are also powered by AI that is trained using NLP models. These systems are added to software or devices to automatically detect grammatical errors or identify spelling mistakes. Devices, applications, and even services such as Gmail can now even predict the next thing you are about to say and offer suggestions to make one’s job easier.

  • Media Recommendation Systems: Media recommendation systems are implementations of Machine Learning that powers services such as Netflix, Spotify, Youtube, and others. These AI implementations use a user’s video or audio history data and then suggest other media that the user might enjoy.

  • Production and Manufacturing Automation Systems: AI empowers the automation of production and manufacturing. BPA or Business Process Automation helps in reducing cost and AI-backed machines help in making manufacturing more efficient than human workers.

How Mastering AI Helps You

Mastering AI can help one get very desirable job roles in MNCs such as Microsoft, Amazon, Google, or Netflix. One can learn AI topics with courses such as the Artificial Intelligence course in E&ICT Academy, IIT. The Artificial Intelligence course in E&ICT Academy, IIT is a great way to start your career in AI.

Careers in artificial intelligence and machine learning

Posted on by Imarticus Learning

Customer experience is crucial for business growth, and through the omnichannel or a multi-channel approach it is possible to generate better revenue. If you are interested in the impact of technological solutions in sales and marketing, you can learn artificial intelligence. This will help you prepare for an exciting and rewarding career. You can choose the AIML course from Imarticus Learning. 

Top Benefits of Artificial Intelligence in Omnichannel

If you are considering a career in artificial intelligence, you can work in the sales and marketing industry. To know the impact of artificial intelligence on omnichannel, take a look at the points below. 

 

  • Scaling Customer Experience 

 

Artificial intelligence and machine learning can be used to effectively restructure the entire IT architecture of companies. This helps to set a scale for the improvement of customer experiences by analyzing all customer preferences. 

 

  • Trial Features on Mobile Apps

 

If you are able to combine artificial intelligence with machine learning, you can ensure that mobile apps for businesses offer a better experience to potential buyers. For example, if you are working for a company that sells clothes, you can create a feature on the mobile app that allows customers to try on the garments. Such trial features are possible for any products that need to be worn or applied. 

 

  • Creation of Accurate Buyer Personas

 

Buyer personas are essential to creating a good marketing strategy for omnichannel. You can implement artificial intelligence to create buyer personas that are accurate and will help to design products and services that cater to that target audience. 

 

  • Use of Propensity Models

 

Machine learning algorithms and artificial intelligence can be applied to the creation and use of propensity models for predictive analysis. These help to determine customer responses to price bundling, offers, email advertisements and other call-to-action methods. 

 

  • Increase in Operational Efficiency

 

Artificial intelligence can be used in every aspect of an omnichannel and it will assist in developing and revolutionizing customer support. In doing this, artificial intelligence can improve the operational efficiency of a business. 

 

  • Quick Analysis of Customer Behaviour

 

Using artificial intelligence and machine learning, you can analyze customer behavior or the response of potential customers to a certain product or service. The insights that you obtain from the analysis will help gain better responses and thus improve the sales close rates. 

 

  • Increase of Revenue

 

As artificial intelligence for the omnichannel helps to improve operational efficiency, it can also help to generate better revenue. Since every product or service is tailored to fit customer preferences, the revenue is bound to increase. 

 

  • Improved Traceability of Orders

 

Artificial intelligence can be used to track different orders across various channels. If operational risks in the channels are reduced, the traceability of orders will improve and it will have a positive impact on customer experience. 

 

  • Better Marketing Strategies

 

Marketing strategies for the omnichannel need to be optimized to understand what is working and what is not working for the business. Artificial intelligence in marketing for an omnichannel can help in the prioritization of sales time and sales strategies, and the improvement of customer profiles. 

Study Artificial Intelligence from Imarticus Learning

If you want a career in implementing artificial intelligence for omnichannel, you should opt for an artificial intelligence course. At Imarticus Learning we offer the best certification in Artificial Intelligence & Machine Learning program. The course is ideal for aspiring data scientists and analysts. You can also opt to pursue a career in machine learning engineering once you complete this certificate course. To create the curriculum and provide certification, we collaborated with the country’s top institutions, IIT Guwahati and the E&ICT Academy. 

At Imarticus Learning, you will be able to participate in live lectures that are held for 8 hours every week. This will help you build important networks and interact with industry professionals, making it easier to land lucrative jobs.

An introduction to neural networks: AI/ML for beginners

Posted on by Imarticus Learning

The field of AI and machine learning is overgrowing, with new advancements in algorithms happening nearly every day. One area with a lot of growth recently is neural networks, which are artificially intelligent systems built on an architecture inspired by the human brain. In this post, we will explore what precisely neural networks are and how they work so you can get started today!

What is a neural network?

Neural networks are machine learning algorithms that you can use to recognize objects in pictures or understand human speech. 

For example, imagine you wish to teach a convolutional neural network how to recognize pictures of cats. You might show the computer thousands of examples of what cats look like and let it learn from that data. Then, when somebody shows the computer a picture that isn’t a cat, it could determine whether or not this is an image of something else using its knowledge of cats.

A step-by-step tutorial on how to train the convolutional neural network and make predictions:

 

  • Choose your dataset:

 

The first step is choosing a dataset to train your neural network. It could be a data set of images, text, or anything else you want to predict.

 

  • Preprocess the data:

 

Before starting training your neural network, you need to preprocess the data. It includes cleaning and formatting the data to be ready to be used by the deep neural network.

 

  • Choose your model:

 

The next step is to choose a model for your neural network. There are many different models, so you need to choose one that will work best for your dataset.

 

  • Train the model:

 

Now it’s time to train the network. It is where you will feed in your data and let the neural network learn from it.

The future of AI/ML:

AI/ML is becoming more widely used today. AI/ML has many benefits for the world around us. Machine learning help diagnose diseases, drive cars and even write music!

  • Websites like Amazon use AI/ML to recommend products you may like based on what you have bought in the past.
  • Facebook uses AI/ML to determine which posts or status to show first in your newsfeed.
  • Google uses AI/ML to generate search results.

The possibilities are endless, and the future of AI/ML is inspiring!

Discover Artificial intelligence and machine learning course with Imarticus Learning

This Artificial intelligence and machine learning course is by industry specialists to assist students in learning real-world applications from the ground up and building sophisticated models to offer helpful business insights and forecasts. This AIML course is for recent graduates and early-career professionals (0-5 years) who want to further their careers in Data Science and Analytics, the most in-demand job skill.

Course Benefit For Learner: 

  • Students get a solid understanding of the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies. 
  • Learn data science skills by participating in 25 in-class real-world projects and case studies from business partners. 
  • Impress employers & showcase skills with artificial intelligence courses recognized by India’s prestigious academic collaborations.

Which Is the Best Artificial Intelligence Course of 2021?

Posted on by Imarticus Learning

In today’s technological era, machines are everyday partners of humans. Artificial Intelligence (AI) has a crucial role in determining the intelligence of machines.

In 2021, many businesses and public services rely on AI for day-to-day operations. College graduates and young enthusiasts are learning AI to build a successful career. There are many AI courses in the market and, it can get difficult to choose one. Read on to know the best AI course of 2021 and why one should learn AI.

Why learn artificial intelligence?

 The reasons one should look for an artificial intelligence course are as follows:

  • Many organizations and businesses are adopting an AI strategy. The rise of automation in the industry processes has fuelled the demand for AI experts. By opting for an artificial intelligence course, you can future-proof your career.
  • Since AI is a new-age technology, there is a shortage of expert individuals in the industry. An AI professional earns a handsome salary and will always be in demand.
  • Gone are the days when AI was only used by robotics and the space industry. Nowadays, AI has become a versatile technology that is used by numerous industries. Some popular sectors that use AI are healthcare, logistics, finance, banking, and legal sectors. You will open multiple future career prospects for yourself by learning AI.

Why go for online training?

Educational institutions usually do not provide certification courses to students. They offer a complete degree program in which AI is just one of many subjects. If you are willing to only study AI, you would have to go through the whole degree program. It is where online training is a boom for AI enthusiasts.

Also, the recent pandemic (COVID-19) led to the suspension of classroom lectures. Online training has helped AI students during the pandemic period. Working professionals can also commit to an online program easily while continuing their job. However, you need to choose industry-oriented AI ML courses that make you job-ready. Imarticus Learning is a reputed EdTech platform that offers AI ML courses with an industry-oriented curriculum.

 Why choose the AI/ML course of Imarticus Learning?

Imarticus provides a Certification in Artificial Intelligence & Machine Learning that is 9-month long. In association with IIT Guwahati, this AI/ML course is a blessing for AI enthusiasts amidst the pandemic. Besides this certification program, Imarticus offers many other artificial intelligence and machine learning courses like PG Program in Data Analytics & ML. The reasons one should choose the certification program in AI/ML from Imarticus are as follows:
artificial intelligence and machine learning courses

  • This course is offered in association with one of the most premier institutes in India i.e., IIT Guwahati. You will get to learn from academic professors and industry experts.
  • Imarticus strictly follows an industry-oriented curriculum that makes you learn job-relevant skills for the AI/ML industry. During the certification course, you will work on 25 real-life industry projects that will make you job-ready.
  • Some of the top languages and tools covered in this certification course are NumPy, TensorFlow, OpenCV, Spyder, Pandas, and Jupyterhub.
  • Imarticus also offers career services at the end of the certification course. Professionals trained by Imarticus in the past work in some of the top organizations of the globe like Accenture, Standard Chartered, Oracle, Deloitte, KPMG, Infosys, and Tata.
  • This course will also offer a 3-day campus immersion program where you can interact with the peers and faculty members of IIT Guwahati.

In a nutshell

Imarticus provides some of the best artificial intelligence and machine learning courses in India at affordable rates. You can also get a scholarship of up to 40% for the certification course in AI/ML offered by Imarticus. Start your online artificial intelligence course now!