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Category: Analytics

A-Z Incident Management in Cybersecurity

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A-Z Incident Management in Cybersecurity

The process of analyzing, identifying, recording, and managing real-time cybersecurity issues is known as cybersecurity incident management. The central purpose of incident management is to provide a comprehensive view of all security threats within an IT infrastructure, ranging from active malware contamination to any data breach. Unauthorized access to data such as financial, personally identifiable records, health, and social security numbers, and policy violations are all examples of security incidents.

Imarticus Learning has collaborated with industry leaders and experts to design a PG Program in Cybersecurity to help aspiring cybersecurity professionals become cybersecurity experts. The 6-month extensive program, with rigorous lab sessions on real-world problems, will help you learn about incident handling and become a certified ethical hacker. This article aims to provide you with a comprehensive understanding of incident management in the world of cybersecurity. 

Process of cybersecurity incident management

As per the International Standard Organization (ISO) and International Electrotechnical Commission (IEC), cybersecurity incident management follows a five-step process. They are as follows:

Step 1 

Any form of a security breach or malware triggers an alarm that engages the Incident Response Team (IRT). They are trained to handle such sensitive incidents. Convene your cybersecurity incident response team as soon as possible. 

Step 2

The IRT monitors the system and goes through all previously reported incidents to identify the potential security threats. Determine the nature and sensitivity of personal data, estimate the seriousness of the consequences, and look for existing mitigating measures. 

Step 3

After identification, the IRT thoroughly assesses the threat before determining the appropriate next steps for mitigating the risk. This stage is important because it sets the next course of action and how the team will contain and resolve the problem. 

Step 4

Based on their assessment, IRT contains, investigates, and resolves the issue. The team eradicates the threat and cleans up the system. They run a spyware or virus scanner, disable breached user accounts, and fix the existing security gaps. 

Step 5

The IRT professionals always document every step of their operations for later review and inspection. 

Basic principles of cybersecurity incident management

Keep in mind some basic working principles while learning about cybersecurity incident management. 

  • Every business organization has different needs when it comes to cybersecurity, and there is no simple one-size-fits-all solution.
  • The top management should be actively involved in all cybersecurity strategies. Their authority over appropriate internal communication and the allocation of personnel and financial resources is needed to execute all security plans successfully. 
  • Every member of your organization needs to be made aware of your cyber security incident response plan for successful execution. 
  • Keep an offline copy of all relevant documents to help you guide through any cybersecurity crisis, as online files may not be accessible. 
  • Never link backups to the rest of your system to reduce the chances of getting infected during a cybersecurity issue.
  • Document every step of a cyber security incident. Logs can help you trace back the origin of the cyber security incident. Hence, it is vital to keep them for at least 6 months. 
  • Keep your cyber security response plan and related information and documents up-to-date. 
  • Always factor in the legal aspects while managing any cybersecurity incident. 

Conclusion

The Internet is revolutionizing business operations globally, and our dependency on it keeps increasing. However, the Internet generates not only new opportunities but also critical risks. Cybercrime has emerged as a worrisome problem for most companies, with online frauds, malware, data breaches, and hacking becoming a primary concern. The field of cybersecurity is a booming one with promises of great scopes and prosperity.

Imarticus Learning has come up with cybersecurity certifications online for all aspiring cybersecurity professionals to make a prosperous career in this field. 

Natural Language Processing: The next frontier in data science?

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Natural Language Processing: The next frontier in data science?

What is Natural Language Processing?

Driven by science, the world has advanced beyond solely human interaction. Today it barely depends on humans as much as it depends on automated machines and artificial intelligence. 

Natural language processing aspires to create machines that evaluate, comprehend, and respond to text and spoken data similarly to the manner humans react. This branch of artificial intelligence enables computerized machines to engage in human-like conversations wherein, they have the capability of reproducing text and speech in the same way we can. 

Why is natural language processing the next frontier in data science?

When used in concurrence with other aspects of data science like statistics, deep learning, and machine learning, not only can it comprehend human language be it in the form of speech or text data but can completely evaluate the intent, emotions, and meaning behind it. 

Natural language processing is the core that navigates computer programs and enables even the simplest applications that we use on a regular basis like online translators to translate our text from one language to the other. However, its limitations are far beyond just translation. It can acknowledge and create responses to verbal instructions and assemble a massive amount of text expeditiously. And these functions very much occur in real-time. 

We interact with natural language processing on a daily basis without even being completely aware of it. For Example, verbally operated GPS systems, digital assistants like Siri or Google assistant, speech-to-text features, chatbots to avail customer service, and other functions that have been integrated into our daily lives so effortlessly. 

Learn data science online

As has been rightfully saying, data is the most valuable resource available to the world right now. It helps us make informed and fact-based decisions. With the increase in the market for data scientists, more and more Indians are now looking to upskill and earn certifications and degrees pertinent to this line of work. The demand for PG in data science in India has increased manifold and students are now directing their focus toward learning skills that will help them have a competitive edge. 

Our data science course is headed by KPMG, India’s leading knowledge partner in making real business Capstone Projects accessible to students along with providing video case studies and coaching students to deliver first-class projects only. The course has been devised in alignment with the industry and to ensure higher employability rates. 

The course has been cautiously developed to understand the inner workings of the real-life data science and analytics industry. It helps you obtain and hone the skill set that is a prerequisite in leading data science companies. The curriculum and certification have been designed in a way that is globally recognized and will propel you in your career. 

Data is not a critical element in making business decisions and companies are seeking out data scientists that can add value to the team and recommend innovative solutions to real-time problems. And we ensure that you are the data scientist that they are looking to hire. 

Our data science curriculum includes:

  • Statistics & R
  • Data Science with R
  • Data Science with Python
  • SQL Programming
  • Tableau
  • KPMG in India Capstone Project
  • Job Readiness

Data scientist career

With multiple streams opening up under data science, it is very understandable to get confused. Data scientists are the glue holding the corporate world together and without them, corporates would just get stuck in a maze with no exit point. 

Here are some data science careers you can opt for:

  • Data analyst
  • Research data analyst
  • CRM data analyst
  • Business analytics consultant
  • Predictive analytics expert
  • Data visualization specialist
  • Data mining engineer
  • Machine learning engineer
  • Predictive modeling associate

Conclusion

Whether it is to take important corporate decisions, to evaluate what the company is lacking, the steps that should be followed next to overcome serious challenges, or even something as significant as how to expand the business, having data scientists in the team who can provide valuable insights is a necessity now. 

Data analytics courses: 7 skills everyone needs to know

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Data analytics courses: 7 skills everyone needs to know

Today, it is not an exaggeration to say that the world runs on data. The world creates 2,500,000,000,000,000,000 bytes (two and a half quintillion bytes) of data every day! Data analytics has become the jargon of the modern business, and talented data analysts are needed now more than ever before. As a result, more and more students are opting for a Data Analytics course as it stands for a lucrative job offer. 

best data analytics courseA Data Analytics Certification helps individuals to disrupt, innovate and drive their organizations’ strategies in a better manner today.

There are a variety of Tableau Course and  Data Analytics Courses online as job openings call from every industry of the market, from manufacturing and supply chain to banking, healthcare, and retail.

Here are the 7 skills that everyone needs to know if they plan to pursue Data Analytics Certification Courses to become an in-demand data professional:

Machine Learning

Machine learning has become the most important arm and leg of Data Science. As an extension of Artificial Intelligence (AI), it helps one in finding patterns in big data sets and build on algorithms to improve accuracy over time. Having a general understanding of machine learning-related tools and concepts will give you an edge over competitors. Some of the courses available on the Imarticus platform are Postgraduate Program In Data Analytics And Machine Learning And Certification In Artificial Intelligence And Machine Learning.

Structured Query Language (SQL)

To communicate with the databases, one needs to know the Structured Query Language (SQL). It allows the data analyst to modify data structures, and organize and update data. By exploring data, one learns how to analyze data as well in time. SQL has a good hold in companies everywhere because of its functionality and maintained effectiveness. Hence, it is considered one of the most important skills needed to land a data analyst job.

Data Visualization

A course in Data Analytics should equip an individual to gather insights and string the information together in a story format so that business owners can make better decisions. One can build data models and create business intelligence reports and use visual representations in a better way. The ability to visualize data empowers a data analyst to gain a better understanding of a company’s situation, deliver useful insights, and make better company decisions.

R or Python – Statistical Planning

Being able to write programs in R or Python can help one visualize as well as analyze data sets better. Although R is regarded better for analytics, Python is considered easier to learn of the two. Both languages fascinate businesses because they can handle complex or large quantities of data. Learning a language goes a long way in building a program that will collect, collate and analyze data.

Modern Statistical Thinking

Collecting, analyzing. and representing data are all parts of statistics. A strong foundation in probability and statistics is an important data analyst skill. Honing skills to develop modern statistical thinking will help an individual identify trends and patterns, avoid biases, fallacies, and logical errors in the analysis and produce accurate and trustworthy results.

Data Management

Managing data is of utmost importance, be it in any vertical of industry, as it interacts with different stakeholders over time. Storing data and information in such a way that it is cost-friendly and secure, helps data analysts to develop another skill set altogether. One can dive deep into how data works in the cloud and physical environments.

Presentation skills

For data to make sense, data analysts must perfect their presentation skills. Data visualization and presentation skills go hand-in-hand. After all, based on historical data, analysts can forecast future trends. Gain the job-ready skills for an entry-level data analyst role so that one can leverage technical skills to build a great career in the field of data analytics.

Things to Take Away!

Putting in time and effort and enrolling at a great center can help one to achieve great heights and propel one to succeed. To explore data analytics courses that can help one pursue a lucrative career in this field and assist in upskilling as well, join us now! Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Here’s Why Data Science Courses Are Gaining Momentum In 2022

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Here’s Why Data Science Courses Are Gaining Momentum In 2022

As we progress through the year, we can see that the job of data scientists has become a new most significant trend throughout the world, and data-driven decision-making is becoming more popular. No matter how small or large, every firm strives for qualified and skilled personnel who can grasp and effectively analyze data, making it the hottest profession and most desired vocation in any industry.

Data are essential for digital agencies since the ultimate goal is to extract brilliant and relevant insights from data to help companies use the power of data. This blog post will explain data science and give you some reasons why the data science course is gaining momentum in 2022.

What is Data Science, and how does it work?

Data is like the raw diamond in today’s technology-driven society, and Data Science is the mining infrastructure setup that makes the data valuable for reshaping the world. Self-regulating systems are impossible to construct without a massive amount of data. So, in 2022, Data Science would entail analyzing vast volumes of data for Business Analytics.

Data Science is a broad study of data acquired by diverse businesses for various commercial goals. It entails using numerous data analysis techniques to analyze data via the Internet.

Here are some reasons why data science courses are gaining momentum in 2022.

In healthcare, data science is critical for keeping track of patients’ health and assisting doctors in understanding illness trends and preventing sickness. Data Engineers are needed in the healthcare business to aid in developing automated systems for the analysis of complex data in clinical applications. 

The data mining engineer evaluates not just their own company’s data but also data obtained from external sources. A data mining engineer will design complex algorithms to help further examine the data and analyze it. 

Data scientists start by converting a business case into an analytics agenda, formulating hypotheses, comprehending data, and investigating trends to see how they affect organizations. They also research and select algorithms to aid in data analysis. 

Data scientists may utilize business analytics to explain how data will involve a company and help create solutions to assist the organization deal with these consequences in the future.

Software development is the most prevalent use of Data Science. Industries use Data Science and Machine Learning to create automated software development solutions. As a result, this business has a high demand for Data Science applicants. Customer data gets used by the e-commerce business to improve customer service and deliver a better user experience. 

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

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

Understanding deep learning and convolutional neural networks

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Understanding deep learning and convolutional neural networks

Deep learning, a subfield of Machine Learning, is here to rule the roost. The problem, however, is that there are only a few Python programs that build your skills in tandem with your final goals. Those that do train you to enhance the understanding of convolutional neural networks in Artificial Intelligence and Machine Learning. 

There is one such certification that might catch your eye at Imarticus. Experts from IIT Guwahati build your future Data Science career by designing our A-grade Certification in Artificial Intelligence and Machine Learning. You can become a Machine Learning Engineer or a Data Scientist with this industry-approved Python Programming course. 

Why pick this course?

The certification has an excellent E&ICT Academy, IIT Guwahati, and Imarticus Learning-designed curriculum that is suitable for your career aspirations. The Python course will give you an edge over other tech and deep learning graduates who aspire to build sustainable futures. 

The entire curriculum is accessible online, but the mode of learning is hybrid because of real-world projects incorporated within the design. 

After you have aced the certification while learning at your own pace, you can join other professionals working at some of the best consultancies and tech companies today. During the 9-month certification course, you can also make the most of an excellent mentorship program. 

The course’s real-world projects will take you a long way in understanding deep learning and convolutional neural networks. They will also help you understand your job profile once you have integrated it into the everyday culture of your future workplace. Skill alignment with the company’s values bolsters the vision of Artificial Intelligence-led futures. 

Course features

It would be useful to remember a few salient features of the certification before signing up. Orienting yourself to benefit as much as possible from the curriculum and faculty is essential for a top-notch certification. 

  • The program aligns itself with your job prospects naturally. You participate in 25 hands-on projects and live sessions during the course. 
  • If you need to transfer your credits to a longer time frame, maybe even the next batch of students, there is an option to do so with a flexible learning system. 
  • Renowned industry leaders and a top-grade faculty will polish your skill sets in no time for you to reach your acme at any job. 
  • Improve your curriculum vitae with the recognition and value of this certificate course, designed by IIT-Guwahati, Imarticus, and E&ICT Academy. 

It is easy to see why all these features help you choose the right program for your career in Artificial Intelligence and Machine Learning. The meticulously designed curriculum and faculty enhance your raw talent swiftly and easily. They give you cutting-edge performance capacity in your future job. 

Your hard work and determination can seal those prospects that you choose to maximize through the hands-on training and live sessions. 

In closing

Python Programming is one of the basic coding languages that are useful for the foundation of your certification in Artificial Intelligence and Machine Learning with Imarticus. A Python course can help you build a foundation in your chosen field of work and contribute to a technology-driven, sustainable future. 

Understanding deep learning and convolutional neural networks is made possible through certification in Artificial Intelligence and Machine Learning. These salient aspects of the ‘future of humankind’ must be understood to build and sustain an equitable and harmonious future. 

Artificial Intelligence can open up these possibilities now rather than in some distant future. Understand Artificial Intelligence to build a sustainable outlook in the world of global trade and commerce with this certification today. 

Connect with us through live chat support on Imarticus Learning. Our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon are just a drive away. Come join us in learning about technology and the future.

 Learn The Basics Of Python In Six Minutes

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Learn The Basics Of Python In Six Minutes

Learning to program or begin with a new language is not easy: We’re sure your mind is racing with all of the new concepts you need to absorb, and the onslaught of knowledge might be daunting at times.

Python is currently one of the most popular—and well-paid—programming languages globally.

This guide will teach you the fundamentals of Python. This Python training is ideal if you are new to Python programming. You will be familiar with Python programming after finishing this guide.

Why learn Python? 

It’s a programming language that’s been around for almost 30 years, and millions of individuals worldwide use it. Python is simple to learn, making it an excellent choice for beginning programmers. It also increases your productivity when writing code, so this guide will assist you in wanting to get started with coding or enhancing your current skill set!

Python installation is relatively simple, and many Linux and UNIX systems now contain a modern Python. Some Windows machines (particularly those from HP) now come pre-installed with Python. 

Here we start with the basics of Python Programming:

Syntax

There are no required statement termination characters in Python. To begin a block, indent it, and to end it, dedent it. Statements that need an indentation level get followed by a colon (:). Comments are single-line strings that begin with the pound (#) sign; multi-line strings are for multi-line comments. The equals sign (“=”) to assign values (in actuality, objects with names), whereas the equality sign (“==”) test equality. Using the += and -= operators, you may increase or decrease numbers by the right-hand amount. This works with a variety of data kinds, including strings. 

Data types: 

Python data structures include lists, tuples, and dictionaries. The sets library contains sets (but are built-in in Python 2.5 and later). Lists are one-dimensional arrays, and dictionaries are associative arrays (commonly known as hash tables). Tuples are immutable one-dimensional arrays (Python “arrays” can be of any type so that you can combine integers, texts, and so on). 

Strings

Its strings can contain either single or double quotation marks, and you can put one type of quotation mark inside another (for example, “He said ‘hello.'” is legitimate). Strings with many lines are in _triple, and double-quotes.

Flow control statements

If, for, and while are flow control statements. Instead of using if, there is no switch. Use to iterate over the members of a list. Use range(number>) to get a list of numbers you can iterate through.

Learn data analytics online with Imarticus Learning

This placement-assured data analytics course will teach students how to use Data Science in the real world and build complicated models that yield critical business insights and projections.

Course Benefits for Learners:

  • Students must understand the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies.
  • Learners earn a tableau certification by participating in 25 real-world projects and case studies led by business partners.
  • Recent graduates and early-career workers should consider enrolling in data science and analytics programs since they are among the most in-demand talents in today’s industry.

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

Visualizing Spotify data with a tableau course

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Visualizing Spotify data with a tableau course

Data science has emerged as a very demanding trend in the industry. Domain skills bring valuable insights from structured and unstructured data using standard tools and techniques.  One of the aspects of data science is data visualization, which is called the graphical representation of the main information obtained from the processed data.

Tableau 

Tableau is one of the standard tools in business intelligence, analytics, and data visualization.  Tableau (desktop and, more recently, public) versions have changed how we interact with visualization and developed data stories for visual communication aids for our large stakeholders, including non-technical audiences globally. With Tableau, you can visualize Spotify streamed data of your favorite artists, tracks, brands, and more. 

You can create dynamic dashboards for visualizing data by using the streaming data and API requested from Spotify and integrating it into the Tableau tool. 

Tableau to Visualize Spotify Music

Once you connect to the Spotify page, you can download music data from the top charts. Top 200 options get a top track or trending track. Use the pull-down menu to filter by country or select Global Options. Similarly, choose from daily or weekly data for your analysis. Use the “Download to CSV” option at the top right of the screen. Daily data is downloaded in the default Spotify_Daily_Streaming file.

Analyze

Now in the Tableau application, load the data source. To open the latest Spotify CSV file on the canvas, select the “Text File” option in the Connect pane. Use the Tableau options to analyze the uploaded data.

The following sections are summarized to analyze the given clause.

Popular Tracks and Artists

Follow the steps to get the most famous songs.

  • Create a new sheet.
  • Add the SUM to rows.
  • Track URL to columns.
  • Sort the songs in the order of greatest to lowest.
  • Enter a name for the track. It is provided next to the Track URL on columns.
  • Using the pill in the columns hide the Track URL title.
  • Mark the Show Header option unchecked.

  Popularity by country

This option is used to analyze how listening habits vary from country to country.

  • Double-click the Country column in the Data panel. Being a geographical area, it plots data on a map. The tableau indicates the geographical column that placed the data on the map.
  • Drop the Streams column into the color for creating a map. For multiple streams, the color turns black.
  • For less than two streams are indicated in a lighter shade.
  • The right-most side of the screen displays unknown values.
  • Double-click on the error notification to remove the data.
  • Use the filter to get the Global column. 

Streaming songs or artists

  • Add the “Week” to rows.
  • Also, add the SUM to columns.
  • You need to filter the Global data.

 You can also analyze currents over time by adding consecutive “week (date)” in columns and SUM (streams) in rows. Of course, in-depth analysis like “seasonality” can be done in the table and allows customized analysis.

Bring to Dashboard

Just drag the sheets from the above analysis with the default map. Select the “Use as filter” option on the map and bar chart. Finish the map’s visual presentation settings with color, grid, and format options.

Data Analytics Certification

It is convenient for new graduates with nearly 5 years of industry experience to upgrade with Visualizing Spotify Data for new graduates and with a tableau course designed for career professionals in data analytics. Imarticus Learning also offers you a PG degree in Data Analytics and Machine Learning.

 You become stronger with the foundation of data analytics and machine learning concepts and with the most in-demand data science tools and processes to play a better role in the data science domain. With the Data Analytics course, you can master skills in data visualization as well as Python, SQL, data analytics, and machine learning for data visualization. To get more information about courses in analytics, contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Learn Computer Vision: What is Hyberbolic Image Segmentatioan?

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Learn Computer Vision: What is Hyberbolic Image Segmentation?

Currently, we carry out optimization at the pixel level in Euclidean embedding spaces for segmenting images. We do this through linear hyperplanes (2D visualization). Keep reading to clear your concept for the Artificial Intelligence Course regarding a key alternative for image segmentation that is done in hyperbolic space. 

Computer Vision is one of the most exciting topics covered in Artificial Intelligence and Machine Learning Certification. This field allows systems and computers to retrieve important information from digital visuals like images and videos. Based on the received data, computers process information to make suggestions to the user. 

If we were to simplify the concept, computer vision tries to make computers view images and videos the way humans do. Today, the advancement in deep learning and neural networks has made these systems exceed human performances in some aspects like object detection. 

Today, spherical and Euclidean embeddings dominate the most-used tasks of computer vision like image retrieval and image classification. 

On the other hand, Hyperbolic Image Segmentation is one of the latest standards for segmenting images. It offers multiple practical benefits like: 

  • Uncertainty estimation
  • Boundary information
  • Zero-label generalization 
  • Increased performance in embeddings of low-dimension

Why do we use Hyperbolic Image Embeddings? 

In Natural Language Processing (NLP) tasks, hierarchies are ubiquitous. The widespread presence of these tasks motivates the use of hyperbolic spaces in this field. This is because hyperbolic spaces inherently embed tree graphs and other types of hierarchies with minimum distortion. 

While retrieving an image, you will notice that an overview picture of something can be mapped to the closeups of many unrelated pictures. These pictures might have a wide range of dissimilarities in their details. 

Furthermore, let’s consider classification tasks. For such tasks, an image that contains representations from many classes is generally connected to images that possess the representatives of those classes in insulation. Thus, the process of embedding such a dataset, which contains composite images, into a continuous space is said to be similar to hierarchy embedding. 

There are also some tasks where generic images are used. These images could be related to obscure images because they lack much information. For example, if face recognition software is run over an image that contains a blurry face, the software could match the unclear image with the high-resolution images of many different people. 

There are several inherent hierarchies in NLP that go beyond to reach the visual region. For instance, you can use hierarchical grouping to visually represent different species of plants. 

Collectively, using hierarchical relations in AI increases the demand for hyperbolic spaces for output embedding. As the volume of Euclidean spaces expands, the resulting expansion is polynomial in nature. However, the expansion of hyperbolic spaces is exponential. This results in the generation of continuous tree analogues. 

This information makes it possible to conclude that the unrevealed hierarchy of visual information can be captured by the expanding hyperbolic output embedding. 

Get an Industry-Ready Artificial Intelligence and Machine Learning Certification

During the certification course you will get the insights of the artificial intelligence and machine learning concepts, latest trends and much more to achieve success in the field.  You can become a part of this global institute by joining our centers in cities like Mumbai, Pune, Lucknow, Chandigarh, Hyderabad, Kolkata, etc. Get in touch with our team by emailing info@imarticus.com to know more about the programs. 

Learn The Reason Why Your Fancy Computer Vision App Isn’t Working

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Learn The Reason Why Your Fancy Computer Vision App Isn’t Working

Computer vision is an aspect of artificial intelligence (AI) that allows computers and systems to extract useful information from digital images, videos, and other visual processes. It can help you make recommendations and take action on the basis of that information. If AI allows computers to think, computer vision allows them to see, observe and comprehend. 

A certification in artificial intelligence and machine learning program like the one by Imarticus will strengthen your basic understanding of artificial intelligence and will help you learn computer vision more efficiently. You can get the best benefits from our experienced mentorship facility and ensure that you get a realistic understanding of artificial intelligence (AI) and machine learning (ML). We also have real-world projects from various industries to help you. Overall, this program can be very helpful for you in exploring gainful career opportunities in artificial intelligence and machine learning which are in great demand. 

Why Might Your Computer Vision App Stop Working? 

As per the experience shared by many users, there is one technical glitch that can often be the reason for your computer vision app not working. It is not a complex theoretical cinder or any GPU-related concern. It is the fact that nearly everyone loads their images into memory sidelong without having a hint about it. And, computers are inefficient in the detection of objects or recognizing games in sidelong images. 

Exif metadata is not regarded as an indigenous component of the JPEG file format. It was more of a second thought derived from the TIFF file format and attached later with the JPEG file format. This maintained reverse compatibility with the viewers of old images, but it only meant that a few programs never analyzed Exif data.  

Most of the Python libraries which work with image data such as Keras, Numpy, Tensor Flow, and Scipy, present themselves as scientific tools to be used by serious people working with generic sets of data. They hardly bother themselves with consumer-related problems such as automated image rotation, even if every image captured with an advanced camera requires it.

This simply means that whenever an image is loaded using a Python library, you will get original and unrotated image data. Are you thinking about what happens if you try feeding a sidelong or upside-down image in an object detection or face detection model? The detector will fail as you have given it bad and useless data. 

Unique AI & ML curriculum – Certification from E&ICT Academy, IIT Guwahati 

By enrolling in this course, you can master the basics of artificial intelligence and machine learning through the most pertinent curriculum planned by E&ICT Academy, IIT Guwahati, and industry leaders. You can create a unique impression on your employers and strengthen your profile with E&ICT Academy, IIT Guwahati endorsed certificate. This globally recognized certificate from one of the most eminent institutions in India will definitely enhance your career.

Campus Immersion By E&ICT Academy, IIT Guwahati 

Get the chance to be a part of a unique Campus Immersion module at E&ICT Academy, IIT Guwahati. This module lasts for three days and it serves as a platform where you can connect with peers and learn AI and ML from the IIT faculty. 

Have you ever imagined the feeling you would have when you acquire analytical skills? This is the objective course that provides you with an opportunity to participate in a top-notch experience of campus education simultaneously learning the practical implementation of AI and ML through live online sessions. 

Learn by First-hand Experience in Real-world Situations 

You can learn what the modern age AI and ML engineers do by solving the issues they face in real life. Industry leaders and experts can make you learn important job-oriented skills through 25 in-class projects which will be based on actual artificial intelligence and machine learning. Grab a chance to participate in a nationwide hackathon to showcase your artificial intelligence and machine learning skills. 

How can you enroll in this AI and ML certification program?

Now that you have known the details of this program, you must be looking forward to getting enrolled in this IIT artificial intelligence course. To get admission, you just need to visit this link and share the details you will be asked for. Imarticus’ team will get back to you and the process will be carried on further. 

So, if you are an aspirant of artificial intelligence and machine learning, then what is stopping you from landing your dream job? Get registered for our certification program and you will have a profound knowledge of AI and ML as well as how you can use them in real-world scenarios. 

The best prediction models that win big this IPL

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The best prediction models that win big this IPL 

The Indian Premier League (IPL) is the most popular and exciting cricket league in the world. There will be ten teams competing against each other this IPL season 2022 for the trophy. Since the start of IPL in 2008, it has grabbed the attention and interest of people from all over the globe. The high level of uncertainty of the matches, and last-minute wins and losses have only increased the viewer count for this cricketing event over the years. And who doesn’t like knowing which team will win that particular match, or even the entire season in advance? Between the matches, you might have also seen a scoreline at the bottom of your television screens showing the winning probability of the two teams. You’d have also seen the probability changing every over for the teams. That is based on the number of runs scored and wickets taken in that particular over. All these predictions are made with the help of data analytics, deep learning, and machine learning. 

Humans cannot analyze extremely huge sets of data, and that is where data analytics and machine learning come into the picture. Predicting the result of an IPL match is a massive work. It includes consolidating the data, analyzing it, and then predicting the result through the number of runs scored, wickets taken, wins and losses of any particular team from the past seasons, and so much more. Imagine the amount of data one would have to analyze for that! Data Analytics makes the work a lot easier.

Data Analytics and Data Science are not rocket science. It only gets easier and more interesting as one starts pursuing it. Doing a data analytics course would help any individual predict the wins of the IPL matches forever! Most of the data science and data analytics courses can also be done online, in the comfort and convenience of one’s own house. Learn Data Analytics online with Imarticus.

STEP-BY-STEP IMPLEMENTATION OF PREDICTION MODEL:

Step 1: Data extraction!

Extract a data sheet that contains all the details of every IPL player from as many seasons as possible.

Step 2: Data cleaning and formatting

Keep the required data sets only.

Step 3: Encoding the categorical data to numerical values.

Encode the raw data into numerical values that make sense to the computer.

Step 4: Feature Engineering and Selection

Divide the data into train sets and test sets before using a machine learning algorithm. Also, scale the data before processing it to make the model less complicated.

Step 5: Building, Training & Testing the Model

Building the correct prediction model using a computer language is crucial. The model can use functions like Sequential and mean squared error, and algorithms like Adam Optimizer, etc. The prediction models can be of a wide range, and multiple kinds of functions and algorithms can be used.

Step 6: Prediction

Create a data frame that shows the actual values and the predicted values. If done correctly, the model will predict the results of the IPL matches at maximum accuracy. It will give almost similar scores. To find out the difference between the actual and predicted scores more accurately, performance metrics will show the error rate using mean_absolute_error and mean_squared_error. 

 Imagine how much time it would have taken us to do all this! But as it can be seen, the above steps in a procedural manner can simplify problem-solving and are generally preferred in the industry. Predicting an IPL match can be as easy for you too! Learn Data Science and Data Analytics courses online with Imarticus.