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How IoT analytics can help your business grow?

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How IoT analytics can help your business grow?

Internet of Things or IOT devices are a rage now, as these devices staying connected to the internet can procure data and exchange the same using the sensors embedded in those. Now the data which is being generated in copious amount needs to be processed and in comes IoT Analytics. This platform basically is concerned with analyzing the large amount of data generated by the devices. The interconnectivity of devices is helping different sectors be in sync with the world, and the timely extraction of data is of utmost significance now as it delivers actionable insights. This is a highly skilled job responsibility that could only be handled by professionals having done artificial intelligence course in delhi.

This particular domain is in the nascent stage and it is still growing, however, it is needless to point out that IoT analytics holds the clue to business success, as it enables the organizations to not only extract information from heterogeneous data but also helps in data integration. With the IoT devices generating almost 5 quintillion bytes of data, it is high time the organizations start investing in developing IoT analytics platform and building a data expert team comprising individuals having a background in Machine Learning Using Python. Now let’s have a look at the ways IoT analytics can boost business growth.

Optimized automated work environment

IoT analytics can optimize the automated work environment, especially the manufacturing companies can keep track of procedures without involving human employees and thereby lessening the chances of error and enhancing the accuracy of predicting machine failure, with the sensors monitoring the equipments and tracing every single issue in real-time and sending alerts to make way for predictive maintenance. The production flow goes on smoothly as a result without developing any glitch.

Increasing productivity

In an organization gauging the activity of the employees assumes huge significance as it directly impacts the productivity of the company, with sensors being strategically placed to monitor employee activity, performance, moods and other data points, this job gets easier. The data later gets analyzed to give the management valuable clues that enable them to make necessary modifications in policies.  

Bettering customer experience

Regardless of the nature of your business, you would want to make sure that your customers derive  utmost satisfaction. With IoT data analytics in place you are able to trace their preferences thanks to the data streaming from devices where they have already left a digital footprint of their shopping as well as searching patterns. This in turn enables you to offer tailor-made service or products. Monitoring of customer behavior could lead to devising marketing strategies that are information based.

Staying ahead by predicting trends

One of the crucial aspects of IoT analytics is its ability to predict future trends. As the smart sensors keep tracking data regarding customer behavior, product performance, it becomes easier for businesses to analyze future demands and also the way trends will change to make way for emerging ones and it enables the businesses to be ready. Having access to a future estimate prepares not just businesses but industries be future ready.

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Smarter resource management

Efficient utilization of resources is crucial to any business, and IoT analytics can help in a big way by making predictions on the basis of real-time data. It allows companies to measure their current resource allocation plan and make adjustments to make optimal usage of the available resources and channelizing that in the right direction. It also aids in disaster planning.

Ever since we went digital the streaming of large quantity of data has become a reality and this is going to continue in the coming decades. Since, most of the data generated this way is unstructured there needs to be cutting edge platforms like IoT analytics available to manage the data and processing it to enable industries make informed decisions. Accessing Data Science training, would help individuals planning on making a career in this field.


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Engineering To Data Science: What’s Causing The Professionals To Consider A Mid-Career Switch?

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Engineering To Data Science: What's Causing The Professionals To Consider A Mid-Career Switch?

Among all the decisions we make in our lives, choosing the right career path seems to be the most crucial one. Except for a couple of clueless souls, most students know by the time they clear their boards what they aspire to be. A big chunk of them veer towards engineering, MBA, even pursue masters degree in academics and post completion of their studies they settle for relevant jobs. So far that used to be the happily ever after career story, but, in the last couple of years there seems to be a big paradigm shift and it is causing a stir across industries. Professionals having an engineering background, or, masters degree are opting for a mid-career switch and a majority of them are opting for the data science domain by pursuing a Data Science course. So, what’s pushing them towards DS? Let’s investigate.

What’s causing the career switch?

No matter which field someone has chosen for career, achieving stability is a common goal. However, in many fields be it engineering, or, something else the job opportunities are not unlimited yet the number of job seekers is growing every year. So, thereby one can expect to face a stiff competition grabbing a well-paid job.

There have been many layoffs in recent times especially due to the unprecedented situation the world is going through. Even before that there were reports of job cuts and certain sectors not doing well would directly impact the career of thousands. Even if we do not concentrate on the extremes, the growth prospect in most places could be limited and achieving the desired salary or, promotion oftentimes becomes impossible. This leads to not only frustration but uncertainty as well.

The demand for big data

If you haven’t been living as a hermit, then you are aware of the data explosion that impacted nearly every industry. The moment everyone understood the power of big data they started investing in research and in building a system that can handle, store and process data which is a storehouse of information. Now, who is going to process data to extract the information? And here comes the new breed of data experts, namely the data scientists, who have mastered the technology having undergone Data Science training and are able to develop models and parse through data to deliver the insights companies are looking for to make informed decisions. The data trend is pushing the boundaries and as cutting edge technologies like AI, machine learning are percolating every aspect of the industries, the demand for avant-garde courses like natural language processing course in gurgaon, is skyrocketing.

Lack of trained industry ready data science professionals

Although big data has started trending as businesses started gathering data from multiple sources, there are not many professionals available to handle the data. The trend is only gaining momentum and if you just check the top job portals such as Glassdoor, Indeed and go through the ads seeking data scientists you would immediately know how far the field has traveled. With more and more industries turning to big data, the demand for qualified data scientists is shooting up.

Why data science is being chosen as the best option?

In the 21st century data science is a field which has plethora of opportunities for the right people and this is one field which is not only growing now but is also poised to grow in future as well. The data scientist is one of the most highest paid professional in today’s job market. According to the U.S. Bureau of Labor Statistics report by the year 2026 there is a possibility of creation of 11.5 million jobs in this field.

Now take a look at the Indian context, from agriculture to aviation the demand for data scientists would continue to grow as there is a severe shortage of professionals. As per a report the salary of a data scientist could hover around ₹1,052K per annum and remember the field is growing which means there is not going to be a dearth of job opportunities or, lucrative pay packages.

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The shift

Considering all of these factors there has been a conscious shift in the mindset of the professionals, who are indeed making a beeline for institutes that offer data science certification. By doing so they hope to-

  • Access promising career opportunities
  • Achieve job satisfaction and financial stability
  • Earn more while enjoying job security
  • Work across industries and also be recruited by industry biggies
  • Gain valuable experience to be in demand for the rest of their career
  • Be a part of a domain that promises innovation and evolution instead of stagnation

Keeping in mind the growing demand for professionals and the dearth of trained personnel, premier institutes like DexLab Analytics have designed courses that are aimed to build industry-ready professionals. The best thing about such courses is that you can hail from any academic background, here you will be taught from scratch so that you can grasp the fundamentals before moving on to sophisticated modules.

Along with providing data science certification training, they also offer cutting edge courses  such as, artificial intelligence certification in delhi ncr, Machine Learning training gurgaon. Such courses enable the professionals enhance their skillset to make their mark in a world which is being dominated by big data and AI.  The faculty consists of skilled professionals who are armed with industry knowledge and hence are in a better position to shape students as per industry demands and standards.

The mid-career switch is happening and will continue to happen. There must be professionals who have the expertise to drive an organization towards the future by unlocking their data secrets. However, something must be kept in mind if you are considering a switch, you need to be ready to meet challenges,  along with knowledge of Python for data science training, you need to have a vision, a hunger and a love for data to be a successful data scientist.


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Object Detection And Its Applications

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Object Detection And Its Applications

When we take a look at a video or, a bunch of images we know what’s what just by taking one look, it is our innate ability that gradually developed. Well, sophisticated technologies such as object detection can do that too. It might sound futuristic but it is happening now in reality. Object detection is a technique of the AI subset computer vision that is concerned with identifying objects and defining those by placing into distinct categories such as humans, cars, animals etc.

It combines machine learning and deep learning to enable machines to identify different objects. However, image recognition and object detection these terms are often used interchangeably but, both techniques are different. Object detection could detect multiple objects in an image or, in a video. The demand for trained experts in this field is pretty high and having a background in deep learning for computer vision with python can help one build a dream career.

Object detection has found applications across industries. Let’s take a look at some of these applications.

Tracking objects

It is needless to point out that in the field of security and surveillance object detection would play an even more important role. With object tracking it would be easier to track a person in a video. Object tracking could also be used in tracking the motion of a ball during a match. In the field of traffic monitoring too object tracking plays a crucial role.

Counting the crowd

Crowd counting or people counting is another significant application of object detection. During a big festival, or, in a crowded mall this application comes in handy as it helps in dissecting the crowd and measure different groups.

Self-driving cars

Another unique application of object detection technique is definitely self-driving cars.  A self-driving car can only navigate through a street safely if it could detect all the objects such as people, other cars, road signs on the road, in order to decide what action to take.

Detecting a vehicle

In a road full of speeding vehicles object detection can help in a big way by tracking a particular vehicle and even its number plate. So, if a car gets into an accident or, breaks traffic rules then it is easier to detect that particular car using object detection model and thereby decreasing the rate of crime while enhancing security.

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Detecting anomaly

Another useful application of object detection is definitely spotting an anomaly and it has industry specific usages.  For instance, in the field of agriculture object detection helps in identifying infected crops and thereby helps the farmers take measures accordingly.  It could also help identify skin problems in healthcare.  In the manufacturing industry the object detection technique can help in detecting problematic parts really fast and thereby allow the company to take the right step.

Object detection technology has the potential to transform our world in multiple ways. However, the models still need to be developed further so that these can be applied across devices and platforms in real-time to offer cutting-edge solutions. Pursuing a Python Certification course can help develop the required skills needed for making a career in the field of machine learning.


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How RPA Can Benefit Businesses?

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How RPA Can Benefit Businesses?

In an era that is being significantly impacted by AI, it is but obvious that many AI-powered innovations would gradually seep through and influence the traditional work settings. RPA or, Robotic Process Automation is a key AI solution that is changing the way businesses function by automating the tasks performed by humans and increasing productivity along the way.

RPA is all about automating tasks that are mundane and repetitive, it is business process automation that automates the time consuming repetitive tasks to increase productivity and efficiency while speeding up the process and minimizing errors. Having artificial intelligence certification in delhi ncr, is vital for professionals aspiring to work in such cutting edge technology driven environment.

The benefits of RPA:

RPA, is no doubt a technology that has the power to revolutionize the way humans traditionally work. The process has certain benefits to offer, let’s find out what those are.

Cost-effective and efficient: When an organization employs bots, it can expect to cut down the cost significantly. Not just that but, the maintenance of human workers can be challenging, humans are not physically able to work beyond a set time limit. The robots can easily work long hours, they do not need breaks and are less expensive than human counterparts.

Increases productivity: When human employees are freed from their mundane activities they can put their skills to better use. They can work on clients, or, handle some other areas that require specific human skills. When the workers are entrusted with productive work they derive job satisfaction and feel motivated to focus on tasks that generate higher revenue.

Better for the environment: RPA ensures the organization follows the path of digitization which results in a reduction in the usage of papers. All the files that are to be handled are in the digital format eliminating the need to use papers.

Fewer chances of error: When humans are involved in carrying out mundane tasks, the room for error would be there too. However, once the process gets automated and handled by bots the chance of error gets eliminated and the tasks get performed more accurately and efficiently.

Improved IT: When RPA capabilities make their way into the organization one can expect a higher level of efficiency, but, the best part of RPA is that, unlike other technologies no new IT system needs to be devised, the existing system can be used by the RPA system, which saves the organization the pain of bearing the cost of substituting the existing system.

Smarter analytics: When RPA is employed there can be no more errors in the analytics. The system collects every microdata possible regarding the organization and helps the management get actionable insight. The RPA system also works great for monitoring purposes.

Seamless communication and security: RPA can ensure that all the information is updated and reaches every segment seamlessly. Earlier any change would need to be communicated by manually updating and it was less efficient, time-consuming and tiring. However, with RPA in place every tiny change made gets automatically updated and the system also keeps the data secure.

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Given the benefits offered by RPA, it is no doubt that most organizations would be eager to adopt the technology. However, the demand for professionals who are well proficient in handling AI, Big Data is also on the rise. Getting a degree from a reputed artificial intelligence training institute in Gurgaon, might help one gab the dream job in this sector.

 


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Nasscom Report Predicts AI Could Aid India’s GDP Growth: An Overview

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Nasscom Report Predicts AI Could Aid India’s GDP Growth: An Overview

The journey of AI and Data has been quite impressive and India is one of the smart countries that recognized the true potential both hold. Several industries are gearing up to adopt the AI technology to enhance their capabilities. The push for developing better models to utilize big data to derive smarter solutions is also there. The changing scenario is also gradually shaping up the future learning path of the current generation of Indians, as a significant chunk of them is steering their career towards the new pastures being created by AI. The demand for professionals trained in big data training in gurgaon, is on the rise and there is good news awaiting them.

India could envision a brighter future as a recent report from Nasscom predicts that by the year 2025, India’s GDP could expect leverage from Artificial Intelligence (AI) and data as, the combined contribution of both technologies could hover around $450-$500 billion. The report ‘Unlock Value from Data and AI: The Indian Opportunity’, is seeing this as a great opportunity that could give a boost to India’s economic growth and also aid in its recovery.

Nasscom has an action plan ready for India, it identified five key areas and it recommends that we need to put our focus on these core areas namely strategy, data, technology stack, talent, and execution. Nasscom’s report further elaborates that in the context of the current pandemic situation which is slowing down the global economy, India could assume a leadership position if it takes a holistic approach towards data utilization and AI effort.

The Nasscom report and the proposed action plan have been reviewed by the industry leaders and recommendations were sent to PM Narendra Modi. Ravi Shankar Prasad, the Minister of Law and Justice, Communications, Electronics and IT, sounded hopeful as he said that digital India helped reimagining the way the government stays connected to its citizens and AI and other technologies would push this objective further, he also said “.. In order to harness its full potential, India needs to embrace AI innovation and regulation with an open, inclusive…and a collaborative mindset,”.

There was a virtual launch of the report followed by a panel discussion where Wipro chairman Rishad Premji, opined “How do we ensure we move beyond from pilots to scalability. We do a great job in starting ideas off and getting them into pilot mode, but how do we get real scale where the magic lies and identify the challenges that lie in getting a pilot to scale,” Nasscom chairman UB Pravin Rao, seconded his view and insisted that the focus should be on execution.

The report suggested three interventions to create a ‘vibrant data economy in India’, and further recommended that high-quality data sets, data governance standards, and data marketplace need to be developed to realize the goal of creating a ‘vibrant data economy’. India needs to fortify its capabilities to position itself as a global hub and thereby open doors to investment, jobs and of course further innovation.

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The report further stresses the need to build an AI innovation ecosystem and engage the private sector and entrepreneurs to realize the goals. Debjani Ghosh, President, Nasscom, pushed the discussion further by stressing “Data and AI’s true potential emerges from its ability to drive transformation across multiple sectors through a diverse range of applications. The report articulates the key structural steps that India needs to take to realise the value of this opportunity,”

Truly India needs to work on developmental policies as per the recommendations in the report and start putting brilliant minds together to realize a smarter future driven by the combined forces of AI and data, a future that certainly belongs to us.

The blog has been sourced from: https://m.economictimes.com/tech/internet/artificial-intelligence-could-add-450-500-billion-to-gdp-by-2025-nasscom/amp_articleshow/77615427.cms?__twitter_impression=true


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AI Is Redefining Mobile App Technology

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AI Is Redefining Mobile App Technology

Gone are the initial days of mobiles that weighed like brick. Over the last decade, mobile phones have re-emerged as Smartphones which are reshaping our lives. Whether the way we stay connected, or, carry out tasks or, say even choose to entertain ourselves, the smart devices are changing the way we function.

Today’s Smartphones are loaded with apps designed to make life hassle-free and fun for us. From gaming apps to fitness apps to shopping apps, we have apps for everything. AI technology that is now seeping through every pore of our existence is impacting the way mobile apps are made and their perfect confluence is making us hopeful for a smarter future. App developers might consider updating themselves with artificial intelligence course in delhi, to stay ahead in the game.

The leading smartphone manufacturers such as Huawei,  Apple, are implementing AI, machine learning technology in the phones to make this device future-ready.  The built-in AI in Smartphones is indeed changing the ways these smart devices function. So, how exactly AI is making the impact on mobile app technology and to which effect?

Smart cameras

Who needs to invest in a DSLR, when you have all the features necessary packed into your Smartphone camera? With smart filtering, picture enhancement capabilities being available thanks to smart AI algorithms, all you need is your phone to click that perfect shot. It no longer matters whether you are taking photos in the dark, or, the background of your subject is chaotic or, completely hideous. The smart editing features would transform your images in no time.

Smart search

Using your Smartphone to conduct a quick search on Google is something you probably do without even giving the process a single thought. Technology has advanced to a degree thanks to AI, that now instead of putting in a text query or, a voice query, you can move straight to visual search. This enhances your search experience, as sometimes you might not know the exact search term, and visual search can be a great aid for you.

Smart translations

Just imagine having Baidu on your phone, the search engine that does translation in real-time, so, having an app on your phone that does the same can be a life-changing experience for you. The available apps do the translation job well but, they do require you to have a continuous internet connection. With AI algorithms taking things further, these translations can be done in real-time without the obligation of having access to the internet.

Smart facial unlocking

 As soon as Apple introduced the world to its revolutionary face unlock feature, the other giants entered the race to make this feature available to their users. They have done a great job too, now a good Smartphone has the smart face unlock feature and this technology is an AI miracle that we are taking advantage of. Image recognition technology is moving fast and advanced research work is going to push it to another level. Now there are hand-free gestures available.  The algorithms are now smart enough to recognize a face even if its appearance has changed. Users can expect nothing but, a smooth face unlock feature that keeps their device secure.

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Smart authentication

The availability of Smartphones is leading us to execute all our tasks using the device. From mobile banking to shopping all financial activities are being conducted online, the phone also contains valuable data that is vulnerable. AI algorithms can secure the device and keep the hackers and cyber crimes at bay while keeping the user data safe. Biometric authentication reaches a new level with AI, keeping the security threats away while staying user friendly.

The future of mobile apps looks brighter as AI-enabled solutions make data security a priority while making the apps more convenient and versatile. There is a already a big demand for professionals who are proficient in AI technology, so approaching a deep learning for computer vision training center in Delhi NCR, would be a timely move for an aspiring developer.


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AI is Changing The Rules of The Gaming Industry

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AI is Changing The Rules of The Gaming Industry

The world of gaming has many tricks up its sleeves to lure avid gamers into spending hours in a virtual world that challenges their skill and intellect to overcome cleverly devised obstacles.  The high a gamer experiences crossing multiple levels and unlocking ‘achievements’ is incomparable. Game developers spend hours brainstorming ways to create simulations that get as real as possible. AI, the groundbreaking technology that has its core in simulating human intelligence, is no doubt should be the most sought after solution the gaming industry needs to revolutionize the gaming experience across multiple platforms.

 AI integration in gaming: What to expect?

Powerful visuals

One of the core elements of great gaming experience has to be the visuals, games that have appealing visuals and great simulation draw more gamers. the design team keeps on working on graphics to improve the visual quality. AI integration could be a great savior here as, it can learn from the data and could predict the expectation of the gamers and come up with game environments, characters that are as close to reality as possible. The smart algorithms could effortlessly simulate human movement and expression by observing them in reality and thereby create better virtual characters and environment. The designing process could take less time as the entire process could be automated, but developers should have a background in deep learning for computer vision course to create the ultimate magic.

Smarter gaming experience

The game developers relentlessly try to create a smart experience for the gamers, a feat they could easily achieve by implementing AI technology. By enabling voice and sound recognition, pattern recognition the games can be more futuristic. With reinforcement learning, the game characters would be able to evolve on their own as they would be learning from their own actions and later they would modify themselves without any intervention.

Enhanced gaming experience

When it comes to games there are plenty of options available in any genre of gaming. However, gamers prefer those games that offer a complete package of experience including attractive visuals, engaging ambiance, interactive features. All of these could be achieved with AI and furthermore, the customization of the game being played could also be done in real-time thus enabling the player to get a completely immersive experience. The integration of AI certainly can make things more intuitive.

Realistic games

The initial stages of gaming visuals and the awe that it evoked have become a thing of the past. Today game developers can take things into a futuristic world with just one twist of AI. Indeed the augmented reality is now a part of the gaming experience that no gamer wants to miss out on.  The game developers are applying 3D visualization, simulation with keen detailing as the gamers now crave for life-like ambiance. Furthermore, the games are now sharper and could respond to the moves being made by the gamer in real-time.

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Games on your devices get an edge

Even though gaming is a universally loved and shared phenomenon, not everybody has access to cool gaming consoles. Smart devices that we have like our mobiles and tablets are the devices that are probably more used for playing multiple games. However, those who have played across both platforms would agree to the fact that mobile gaming is not the same. There are some limitations and smart AI algorithms are now being applied to address those specific issues and design games that are not only visually appealing but also interactive in nature.

The gaming industry is moving at a fast pace with AI technology, the merger is beneficial and promises a brilliant gaming experience for future gamers. Building a career in this field is a great idea and if you could upgrade yourself with a course like artificial intelligence certification in delhi ncr, then the sky is your limit.


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Why The HR Industry Should Implement AI Technology?

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Why The HR Industry Should Implement AI Technology?

Human resources is a significant part of business as it is in charge of managing the most valuable asset a company can have the employees. AI technology is being adopted in HR practices as businesses have started to identify the crucial areas in HR which could perform better by incorporating AI solutions.

Whether it is recruiting new talent, employee retention, or, performing administrative tasks, the HR department can surely benefit from the application of latest AI tools to make their tasks error-free, be more objective in their approach, automate tasks and not to mention gain deeper insight into employee data to get their strategies right. Implementation of AI requires having skilled personnel who have pursued artificial intelligence course in delhi.

Although the implementation is still happening on a small scale and somewhat sporadically,  the sector is waking up to the power of AI and slowly savoring the benefits.

How the HR sector is benefitting from AI

Hassle-free hiring

Recruiting new talent is one of the crucial jobs handled by any HR team in any organization. However, the usual hiring process can be a tedious task, and more often than not is not free from error or, worse bias.

Not just that but, screening of applications takes a painfully long time and scheduling interviews can be hectic.

AI can address all these issues, by automating the entire process. The task of screening application and replying to candidates can be automated, which means the employers can act faster and since it would not require much involvement from the HR team, they can focus their attention on some other productive work.

Smart screening of applications makes it easier and faster to shortlist candidates. Maintaining a database of past applicants can immediately alert the HR team to find a suitable candidate who might be considered for a new position instead of looking for new ones.

Furthermore, the task of background verification would become an efficient process, since, detecting any oddity in the datasets will get easier. 

Keep bias out of hiring

As more and more companies are now focusing on having a diverse workforce that promises to provide equal opportunity to employees regardless of gender, race, keeping the element of bias out of their recruiting process is essential otherwise it might harm their image.

The job postings that one comes across often have been detected to contain biased language which despite being apparently harmless in nature might turn off a potential candidate. During the screening of applications and interviews, the element of human bias can creep in as well.

With pattern detection of previous applications and subsequent response, this issue can get resolved. It would be possible for a recruiter to access a database that contains far more diversity and with the help of NLP, it would enable them to write a job posting more objectively. Having knowledge in Machine Learning Using Python, can enable the team to detect the negative patterns faster.

Improve the onboarding process for recruits

Once the hiring process gets over and done with onboarding begins, which could be a taxing experience for both new recruits and the HR team if not handled with care. As the new faces get integrated with the system, the HR team faces several queries, and investing a significant amount of time for doing this task is not possible for them.

As far as employees are concerned not having someone around to clear away confusing can be a daunting experience.

AI-powered chatbots can take care of this issue, by helping the recruits access all the necessary information whenever they need from anywhere, they can get the contact information, guidelines without constantly nagging the HR personnel. The onboarding process becomes faster, efficient, and less daunting for all.

Employee retention becomes easier

HR is not just about recruiting new talent, they are entrusted with the responsibility of nurturing the human assets in the firm. However, for any firm retaining their employees can become an issue and if not managed well they might also have to deal with employee attrition.

So, assessing the employee needs is essential and with smart AI systems in place, the HR team can measure the satisfaction rate, performance of the employees through personalized surveys.

Patterns could be detected in the response to indicate which employees might consider leaving.

The team could act on the findings and make the necessary effort where it’s needed to retain an employee. Conversational AI can also help them in keeping track of training progress.

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Repetitive tasks could be automated

The HR department has to deal with scores of administrative tasks that require dealing with a huge amount of data and most of these tasks can be dull. AI program can entirely automate the tasks such as interview scheduling, and help the HR team focus on something productive. They can focus the time on strategizing for the future. Automation not only saves time but also adds efficiency to the whole process.

In the field of recruiting there have been some interesting development due to AI and HR collaboration. Let’s check out a couple of these platforms

TextRecruit: It helps with both recruiting and onboarding process

ARYA: Employes machine learning to find the best candidates for employers

Restless Bandit: It is a bot recruiter that is hired by industry leaders like Adidas

Mya Systems: This AI assistant guides the candidates to better their communication with recruiters

The HR industry is opening up, but, due to issues like finance, lack of skill it has not been able to fully utilize the power of AI. Addressing the skill-gap is essential here and that could be done by encouraging workers to take up courses like artificial intelligence certification in delhi ncr.

 


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Learn How To Do Image Recognition Using LSTM

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Learn How To Do Image Recognition Using LSTM

This is a tutorial where we teach you to do image recognition using LSTM. To get to the core you have to understand that how a convolutional neural network perceives the data. In this tutorial the data we have is four-dimensional data, so, you need to convert the dataset accordingly. You can find the tutorial video attached to this blog.

Now suppose there is an image 28 by 28 pixel, if the image is black and white then there would be only one channel. So how will you put the data in CNN, it will be like the number of samples, then followed by the number of rows of the data, then the number of columns, then channels. These are the four values that need to be provided in the input layer, at the very beginning. Now, these values must be converted according to the LSTM. Now the LSTM wants the STF, like the number of samples, time steps like how many time steps back you want to go for making further prediction because LSTM is a sequence generator and the number of features. So, we will be converting the image that is the number of sample 28 by 28 one pixel into one sample of 28 by 28, that’s the only job you have to do and all you need to accomplish this is to prepare the data accordingly.

There will be no mysteries here, in fact, it is a normal neural network LSTM, that anybody can run in a most simple form, and in this tutorial, it is also run in the most simple form there is no complexity involved and only a few epochs will be run.

You can find the code sheet you need for this at

 

Also follow this video that explains the process step by step, so that you can easily grasp how LSTM can be used for the purpose of image recognition. To access more informative tutorial sessions like this follow the DexLab Analytics blog. 


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