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Tag: artificial intelligence courses in India

TOP 10 APPLICATIONS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN DIVERSE INDUSTRIES

Posted on by Imarticus Learning

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

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

 TOP 10 BEST APPLICATIONS OF DEEP LEARNING

Virtual Assistants

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

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

Chatbots

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

Healthcare

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

Entertainment

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

News Aggregation

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

Composing Music

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

Image Coloring

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

Robotic

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

Automobiles

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

E-commerce

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

Why Enroll In AI Progam At Imarticus Learning

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

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

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

Some course USPs:

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

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

AI Deep Learning: What’s in it, and how is it an Asset for AI specialists!

Posted on by Imarticus Learning

Artificial Intelligence has seen exponential growth in recent years. AI is turning the way we live and work. But it cannot be easy to understand what exactly AI is. This blog post will tell you why to learn AI and why it matters for everyone!

What is AI deep learning?

Deep learning is a part of artificial intelligence and machine learning (ML) that imitates the way humans gain certain kinds of knowledge. This method has been around for several decades.

For AI, deep learning is a technique that allows artificial intelligence to learn and understand data. It works by showing an algorithm with lots of examples rather than programming it with inflexible rules, as many artificial intelligence programs have done in the past. Thus Artificial Intelligence and Machine Learning course helps to learn AI.

Why Is AI Deep Learning So Necessary?

While traditional artificial intelligence algorithms are linear, deep learning algorithms are stack in a hierarchy of increasing complexity and abstraction. Deep learning allows computers to connect concepts that they wouldn’t otherwise be able to do independently.

Artificial neural networks, algorithms get inspired by the human brain. They get trained from enormous volumes of data. The deep learning model would execute a task, modifying it each session to enhance the result, like how humans learn from experience. So, there is a need to understand AI.

How Is It Helpful For AI Specialists?

Deep learning allows artificial intelligence to identify patterns in data without human supervision. This artificial intelligence uses image recognition, which requires computers to understand concepts like color or objects and how they relate. Artificial Intelligence Course can be used to power self-driving cars and even recognize faces.

Artificial Intelligence (AI) is machine intelligence. Artificial Neural Network (ANN), Deep Learning, and Machine Learning are the most popular type of artificial intelligence at present. The ANNs algorithm creates a deep understanding of how to solve complex problems with computer data. Deep learning is a part of the artificial intelligence course. The IIT artificial intelligence Course helps to solve complex problems with data using neural networks.

Deep Learning is helpful for AI specialists working in different industries like Banking, finance, insurance, etc. It often gets used by all types of businesses and government sectors to solve problems.

Why Enroll In AI Progam At Imarticus Learning

artificial intelligence and machine learning courses in IndiaImarticus learning offers the best machine learning and AI course for your data science career. They provide certification in AI and Machine Learning. This 9-month Artificial Intelligence and Machine Learning program are in collaboration with AI/ML industry experts.

The program helps students to grasp precisely what Machine Learning and Artificial Intelligence market demands in professionals. Through 25 in-class real-world AI & ML projects, industry experts teach you crucial job-relevant skills.

Through several AI Deep Learning corporate strategies, students attain real-world Machine Learning and Deep Learning skills. The program is capable of converting a fresher into a highly prized New Age AI and ML Specialist. For further details on the course, contact us through the Live chat support system. You can visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi Gurgaon, and Ahmedabad.

How Can Computer Vision Protect Millions of Homes From Intrusion?

Posted on by Imarticus Learning

Introduction

We need to embrace the concept of computer vision in homes rather than shy away from the idea of exchanging personal data to achieve new levels of protection, safety, comfort, and entertainment. Computer vision combined with NLP and ML enables computers/systems via digital images or video to understand what they see.

When systems can detect and recognize objects, according to what they are scheduled to do, they can deliver intelligent behavior. Automotive space is one area that has successfully demonstrated how computer vision can change our lives. Car systems that use computer vision can recognize the driver behind the wheel and can warn the driver when he starts to swerve out of his lane to see the surrounding area.

Many customers on their smartphones are already using computer vision and don’t even know it. To recognize facial features and position overlays (philters) in the right positions, both Snapchat and Instagram use computer vision tracking.

How does Computer Vision help us in making things secure?

Accepting computer vision into your house and connecting it to your connected devices helps your daily routine to have a new level of convenience. When you arrive and open the door for someone, the front door will be able to see or stay locked when an unknown person (face) approaches. Alarm systems are smarter, able to distinguish who are family members (including age and gender) and who are not.

If an elderly family member or visitor trips, or if a child is climbing up the stairs, on the countertop, or anywhere that puts the child in danger, indoor surveillance cameras will send a warning to your mobile, taking it a step further. Nest, Logitech, and other smart home manufacturers have either begun offering customers these smart security features as a premium subscription service or have already incorporated them into their newest devices.

Computer Vision in Intrusion Detection

Abbreviated as IDS, an Intrusion Detection system plays an important role in providing the required security assurances for all networks and information systems in the world. One of the solutions used to decrease malicious attacks is IDS. As attackers often change their attack tactics and find new methods of attack, IDS must also develop by implementing more sophisticated detection methods in response.

The enormous data growth and substantial developments in computer hardware technology have led to the existence of new studies in the field of deep learning, including intrusion detection.

To provide a high degree of security and security staff monitoring effectiveness, high-performance AI systems can make the task monitoring process automatic for high-risk sites. Also, these intrusion systems can identify objects based on size and location. However, they fail to recognize the type or form of the detected object.

Perimeter Defense (Intrusion Detection) systems with high-end artificial AI algorithms to identify a multitude of different types of objects can now discern objects of interest, thus dramatically reducing the rate of such intrusions that might indicate a false alarm. The more sophisticated systems, such as those provided at IronYun, allow its customers to design ROIs based on intrusion detected points, high-value areas, and or any other region that may be beneficial for alerts.

Similarly, the applications designed for face and license plate recognition have the ability to detect people or cars(the license plate) in addition to solutions for motion detection and use pre-designed data to identify distinct faces or plates that should be watched regularly, similar to the pre-designed lists.

Needless to say that these systems will also allow its customers to search for faces that are not provided already on the camera. For example, if a person is identified hanging outside a house many times, one can store their pictures in the designed watchlist and fix an alarm when the face is identified again around the house or in your surroundings.

The main advantage of the system is that before the troublemaker completes the act, the warnings will assist in discouraging and avoiding vandalism or robbery and inform the authorities of the scene.

Conclusion

AI-based security measures combined with computer vision, deep learning, ML, and NLP training can do all the boring work for you to help deter fraud and vandalism. They are also the most accessible security solutions available with a strong return on investment due to their low cost and outstanding reliability.

computer vision coursesStopping crime is a challenging, ongoing challenge, but enterprise vendors and law enforcement can do it more easily with the right AI apps. This is also one of the reasons why people are excited about an acceptable career in the AI sector.

How Artificial Intelligence Training Can Be Helpful For Any Voice Content Purpose?

Posted on by Imarticus Learning

Introduction

The technological change and digitization that is taking place across the globe are being accelerated by the day. Growth in Innovations and Inventions in all the major domains is Multi-fold. This major chunk of this growth can be attributed to the advances that are being taken in Artificial Intelligence. Artificial Intelligence had contributed to almost all the major domains in some or another way.

Artificial Intelligence as a domain is very comprehensive in both depth and breadth. Some of the major domains that comprise artificial intelligence are Neural Networks, Fuzzy Logic, Expert Systems, Natural Language Processing, Robotics, etc., In these domains, one of the fastest-growing domains is Natural Language Processing.

Natural Language Processing

The ability to understand and read human language through artificial intelligence is Natural language processing (NLP). NLP can be classified in terms of Text, Voice, and Audio. In all three, voice recognition is the fastest growing and widely known through various voice assistants in our smartphones.

Not only on the consumer side but also there are many applications on the enterprise and industry domains. Voice recognition/speech recognition is used for many purposes such as customer insights, in meetings, Security features, etc.,

Speech Recognition and its multiple applications:

Speech recognition is the Comprehension of the voice by the Computer to perform a task. It involves various modules such as speech to text, text to speech, Speech processing, and many more. Speech recognition can be found in many applications such as

  • Car Navigation
  • Navigation and Control such as GPS
  • Voice Assistants

Considering the advantages let’s consider how Artificial Intelligence Training in Speech Recognition/Voice recognition will help us to pursue a career in Artificial Intelligence.

 Artificial Intelligence Training

To Pursue natural language processing, there must be a holistic knowledge of Artificial Intelligence. Artificial Intelligence is one of the most important skills for any high-paying job. To have a holistic knowledge of artificial intelligence some key topics are to be concentrated upon such as

  • Python and Statistics
  • Data Analysis and Python
  • Machine Learning
  • Deep learning
  • Natural Language Processing
  • Computer Vision

To have a successful career in Artificial Intelligence there should be a basic understanding of python, TensorFlow, and other similar technologies. Though not all the domains are equally important, if an individual prefers to have a career in natural language processing then knowing other domains listed above will complement.

Skills Required to become an NLP Expert

Skills like Fundamentals in Machine Learning such as regression, probability estimation, data integration can be learned through training in Artificial Intelligence. In addition to this, there are additional skills that help an individual to become an NLP Expert. Skills such as parts of speech, Sentence Fragmentation, Information Extraction are needed from the linguistics point of view.

When seen from the programming side, NLP research scientists should be well equipped with at least one of python, java, ruby as a known language. Also, knowledge of probability & statistics and Recursive Neural Networking are essential for NLP. Artificial Intelligence Training will develop all these necessary skills

Prospects of Artificial Intelligence and Natural language processing

Rapid Growth in the technology space had made way for many new opportunities. Artificial Intelligence is one such field where there are umpteen opportunities in multiple domains. There are many High paying, exciting jobs that are available when Artificial Intelligence skills are possessed. Especially in Natural Language processing, the job prospects are surging. The job profiles that are offered for a career in Artificial Intelligence and Natural Language Processing are

  • Machine Learning Engineer
  • Natural Language Processing- machine learning Developer
  • Data Scientist
  • Software Engineer
  • Research Scientist
  • ML Specialist

Conclusion

Artificial Intelligence is a growing field and the opportunities that it offers are ever-increasing. In artificial intelligence, Natural Language Processing (NLP) is an essential part of high job prospects. A wholistic Artificial Intelligence Training and NLP will help an individual in pursuing a great career in Artificial Intelligence.

How Artificial Intelligence Training Helps to Boost The Fashion and Advertising Agencies?

Posted on by Imarticus Learning

In a fast progressing world such as ours, the need for an efficient tool to speed up the process of our work has increased. With that demand came the answer to all our problems, Artificial intelligence (also known as AI).

At this moment in time AI is being used across almost all major industries. A large number of establishments not using AI face being left behind in our extremely competitive economic race.

In this article, we will be shedding light on its advantages in the fashion and advertising industries.

AI and the fashion industry:

AI has established its role in the fashion industry quite firmly. Fashion retailers are going bankrupt due to the lack of importance given to AI. Due to this high demand, each year, the total expenditure on AI in the fashion industry is estimated to reach a whopping $7.3 billion by the end of 2020.

In the fashion industry, where only the top 20% of global brands are considered to be profitable, the need for a tool to maintain their relevancy is immense. It allows easy access to large chunks of data, customer personalization, and various other services which the fashion companies will not be feasible to run without.

AI is used mainly in three areas:

  1. Apparel design: Due to its ability to collect intricately detailed data sets, fashion companies are using this technology to better satisfy and understand customer needs and also be able to design better clothing from feedback. Zalando which is a German-based fashion platform has been designing its clothes using AI which picks up information depending on a wide set of customer choices which range from the material of clothing to clothing style and color.
  2. Making manufacturing easy: Fashion trends are fast-changing and there is a need for the pattern of change to be identified. AI is able to do this with ease while also being able to supply the apparel to shelves much faster than a normal retailer. Taking advantage of this, companies can confidently provide immediate service thus gratifying their customers based on their demands and needs. Examples of companies using this are brands such as Zara, TopShop, and H&M.
  3. Selling merchandise virtually: AI has the ability to break down the walls between the online and in-store shopping experience. This is being done through augmented and virtual reality technology, allowing customers to access apparel online using AR. Certain brands like Tommy Hilfiger are using virtual reality to create virtual pop-up retail stores.

Now you may ask how this works. AI is largely used in the fashion industry in the form of chatbots using which the fashion brand gathers information about the customer’s needs and desires. It has become an indispensable tool and is able to identify the customers fast changing desires.

AI and the Advertising industry:

AI plays a very important role in the advertising industry as well. It is able to identify elements that will resonate with the viewers, creating ads without any human involvement. It is also able to perform audience targeting and ad buying. Major platforms are using AI, taking advantage of its ability to determine if viewers would click on the ad they are being presented with.

It is able to intelligently identify and segment audiences, build ad creative, test variations, improve performance and also optimize spend. It has proven to be advantageous to digital advertising and the careers of marketing experts who plan and run ad companies.

Advertising at scale is something that is tricky and impossible for humans to perform and AI comes in quite handy here. The technology has the unique ability to detect patterns and predict what changes need to be made to a campaign to improve it against its specific KPI. This does not take days, hours, or even minutes but can be done in a span of just a few seconds.

The advantages of AI in advertising are hence as follows:

  1.  Increasing revenue through analyzing data at scale
  2. Reducing costs by acting on data faster and automatically
  3. Creating a massive competitive advantage

It plays a key role in real-time advertising, buying, and selling. This is most popularly done with the help of third-party apps like Facebook, Instagram, and Snapchat. These ads are suggested through AI looking at the links that are promoted by the user.

Taking all these facts into consideration it is pretty clear that a career in AI, especially in our day and age has huge scope and its benefits are undeniable! AI is transforming the fashion and the advertising industry as well as many other industries and thus considering artificial intelligence training at this point is a very smart thing to do!

How Can AI Help to Enhance Conversational Business Intelligence?

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Data, Analytics, Insights are the three key terms connected with the success of any organization. Well-curated and holistic customer data can take businesses to a whole new level.

It is the Business Intelligence Dashboard that keeps a record of KPIs, metrics, and various other data related to the organization, departments, or a specific process. While Business Intelligence Dashboards can provide a whole lot of information, it may require a considerable amount of time and effort to access the data.

Consider a scenario where a manager needs the sales of the Southern Territory for the past quarter. He also needs the list of jobs currently running on the organization’s server for new recruitments. All the information he needs will be available in the organizational Business Intelligence dashboard. But to access the specific data, he has to undergo several processes.

He has to log in for each task, set the parameters, range, format, etc, which is time-consuming and also tedious. This is where the AI-enhanced Conversational Business Intelligence comes in handy.

In today’s dynamic and competitive market, Conversational Business Intelligence powered by Artificial Intelligence has a unique role. It helps the organization to improve customer experience, involves minimal business decision-making, and also helps in offering more personalized services. It provides a whole new approach to your daily business tasks.

AI-enhanced Conversational Business Intelligence is an intelligent interface between the dashboards and the users. It not only helps in gathering the specific information at a rapid speed but makes use of a structured and user-friendly format to present the data.

It delivers quick and exact responses. Conversational Business Intelligence is beneficial both at the customer end and also for the employees within the organization. It helps to receive crucial data and insights about the customers by simplifying and speeding up the entire process.

The employees can access data without worrying about extra passwords, another application, or new software. Conversational Business Intelligence enhanced by Artificial Intelligent is easy to collaborate with any platform of your choice.

Let’s look at another instance where Artificial Intelligence enhanced conversational business intelligence comes to your help. Using Google Analytics, you get valuable insights related to your customers such as what page they are viewing or how frequently they have visited a page of your site, etc.

But what it does not answer is WHY that specific customer revisits a page, the pricing page for instance, and does not continue with the purchase or opt for a trial option as mentioned on the page.

There could be several reasons stopping the customer from making the purchase. He could be hesitating because the page does not provide enough details to convince him, or he could be confused about the purpose of the product, or he could be worried about the delivery of the product, etc. However, the reasons are unknown.

This is where the AI-enhanced conversational business intelligence comes to your rescue. The customer can now communicate their problems, to a system mimicking human intelligence, without actually having to talk to the manager or owner of the site in person and can clarify all his doubts regarding the specific product or page instantly.

Why a career in Artificial Intelligence?

Artificial Intelligence trainingArtificial Intelligence in Business Intelligence makes use of computer systems to mimic the various abilities of human intelligence such as reasoning, learning, understanding, communication, perception, judgment, and much more.

With the fast-growing businesses and a huge number of customers, the data generated today is much more than what one can absorb or interpret.

With this kind of data, it can get really difficult for human minds to make complex decisions. This is why Artificial Intelligence is said to be the future of all complex decision-making. Therefore, an Artificial Intelligence career can provide endless job opportunities.

Why Artificial Intelligence is Invaluable for Weather Forecasting and Disaster Prediction

Posted on by Imarticus Learning

For most people, weather forecasts are simply indicators of whether they need to carry an umbrella or throw on a coat when they go outside. However, for many industries and types of individuals, weather changes and patterns have a direct impact on their lives and livelihoods.

Agriculture, for example, benefits from accurate weather forecasting because farmers can make better planting and harvesting decisions. For governments, weather forecasts factor in their budget plans and disaster relief fund allotments. Businesses that rely on clear weather (or rough weather) depend on weather forecasts to drive several of their operational processes.

From all this, it is easy to gather that accurate weather and disaster forecasting carries much more weight than we think. Artificial intelligence augments the accuracy and reliability of weather forecasting, especially given that so many details fluctuate every day and with every geographical location. It is a great fit, given the volume of data is nigh impossible to sift through with manual labor alone.

In short, the future of artificial intelligence will also see its increasing use in the weather and natural disaster forecasting domains. Here are  a few more reasons why:

  • Managing several sources of weather data

There are currently more than one thousand weather satellites orbiting the  Earth, each sending back weather data dumps to various collection points. These data dumps are a mix of information about temperatures, cloud patterns, winds, and pollution levels. Then there are thousands of government and private weather stations around the world, each conducting their own real-time research on weather and climate.  It is nearly impossible to sift through all this data manually, but AI algorithms can do it in a matter of hours.

  • Sifting through multiple data categories

Suffice to say that the amount of data generated from satellites and personal weather stations is too much to fathom, and impossible for humans to sift through. However, Artificial Intelligence training can be applied to segregate and classify data from dumps, as well as to pull out key insights for analysis. This is a preliminary process in the weather prediction model, wherein AI segregates data based on indicators, flags significant shifts or patterns, and keeps data classified such that predictions are made as accurately and as scientifically as possible.

  • Preparing for potential disasters

Beyond real-time predictions, AI is also used to identify patterns and prepare for natural disasters in advance, off the back of previous circumstances. It may also split this data between geographies, allowing disaster management teams to evaluate which areas will be hit the hardest and prepare for that. This data is also invaluable for civil engineering teams, architectural firms, and city planning teams who need to take weather into account when mapping out residential and commercial areas.

  • Sending out warnings

Apart from predicting natural disasters, AI can also be leveraged to send out warnings to potential danger zones. This is invaluable when it comes to saving human and animal lives and generally preparing areas for the worse. Warnings can be sent out through media alerts, push notifications, and citizen broadcasts; whatever the method of delivery, AI is vital to sending such notices out in time and to the right people to curb panic and facilitate seamless planning.

Artificial Intelligence Training for Weather Forecasting

Weather forecasting teams and companies need skilled AI scientists and engineers to apply theory to practice in real-time. They need AI professionals who can create automated setups to free human minds for higher-order thinking; they also need pros who are fast on their feet and adept at creative problem-solving.

Using AI for weather forecasting is a whole new ball game – one on which many lives depend.

What Do You Need To Know For AI

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In a world where technology is developing at a rapid rate, fields that focus on automation and artificial intelligence are becoming the most lucrative. With many artificial intelligence courses available, it is important to remember that a strong base is fundamental.

So, the question is – What do you need to know before you can venture into a field like artificial intelligence?

Before heading to the pre-requisites, it is important to understand that AI is a field that is multi-dimensional. It can be used for anything from medicine to education. This also means programming AI is diverse, akin to law, where you constantly need to educate yourself on the updates of the technologies available in your field of AI.

Finally, the different fields of AI can have specific requirements, but on a broader scale, most AI in any field requires strong foundations that are basically the same. Here are a few things you need to know before studying about artificial intelligence.

Numbers Are Key
A strong understanding of mathematics is a must when venturing into artificial intelligence. The key here isn’t just knowing basic math. If you hope to venture into artificial intelligence, a deep understanding of discrete mathematics is part of the core foundation of the field.

Most artificial intelligence is based on various algorithms, and an understanding of these algorithms, as well as the ability to mathematically analyse them for errors and solutions, are considered the most basic requirement for AI.

Programming
 Much like math, programming is an essential part of artificial intelligence, implementing the mathematical data into code in a manner where you can not only develop but maintain and enhance machine learning is also part of the core foundation of AI. This means you must be able to code at a high level and find a way to be creative with code to improve the functions of a developing AI system.

In-depth knowledge of Python is often considered a mandatory pre-requisite to learning artificial intelligence as this open sourced programming language is currently the most popular and widely used.

Analyzing Data
 While programming and math are the foundations, the ability to analyse and interpret data is considered a cornerstone for anyone involved with developing AI. This skill is important as this is where the error guidance and solution base of AI stems from. Imagine a world where you create an algorithm and program that algorithm into a robot to vacuum.

This works successfully as a single task. Imagine now that you integrate another code into the same robot to do the dishes. The robot accidentally breaks the dishes or uses bleach to wash the dishes. This error is because the codes can overlap and create a fault or a bug. Data interpretation is essential to identify faults and bugs in order to rectify them.

Conclusion
While the three pre-requisites mentioned above are core tools for those studying AI, they aren’t the only ones you need. The field of AI you venture into may require knowledge of the field itself. An example of this is medical AI, where you will need an in-depth knowledge of medicine and how medicine functions. AI is ever growing, and its complexities are deep.

No matter the type of AI you choose to learn, a strong understanding of math, programming and the ability to analyse data accurately are a must.

Getting on the Right Artificial Intelligence Path

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Are you looking to expand your current skill-sets? Does Artificial Intelligence pique your interest? Artificial Intelligence uses software or machines to use intelligence similar to that of humans. Even the humble calculator is an example of artificial intelligence. The field of AI is currently focusing on creating systems that can reason, learn, present knowledge, plan, and understand natural language amongst many others.

If you want to jump into this new and exciting field of innovation, you might want to make sure that you have your basics covered. There are several artificial intelligence courses in India that you can enrol in. However, if you are looking to explore on your own, you can follow the path given below to give you an understanding of how AI functions.

Brush Up On Your Math
A strong understanding of mathematics is key to your ability to move forward in the field of AI. Knowing as much math as you can will definitely help you later, but at the start, you can focus on statistics, calculus, and optimization. There are several resources available online for these topics, and you can also brush the dust off your old math textbooks.

Learn A Language
No, we don’t mean French. You need to learn the right programming languages in order to be able to delve into Artificial Intelligence. Focus your time on learning Python, C, and C++. These languages come with well-stocked toolkits and libraries which will help you navigate your future projects. Each of these languages has their own benefits and limitations, but starting with Python is a good bet. Look up artificial intelligence online courses offered by Imarticus Learning.

Solve a Problem you Know
One of the best ways to get started on AI is to practice with a problem you know and are interested in. It will keep you motivated as you continue to delve deeper into the intricacies of AI. The problem should interest you and must come with ready to access data that can be worked with a single machine. You could also start with the Titanic Competition that is tailormade for beginners like you.

Make Your Own Bot
A BOT is a type of weaker AI that can complete automated tasks. Try your hand at building your very own Chatbot. An example of an advanced chatbot is the Google Search Engine. It has three basic components – input text, send button, and output text. You can explore open source platforms like XPath and Regex in order to build your very own chatbot. This chatbot can be complex or funny and helpful. You can choose what your bot does for you.

Participate in an Actual Kaggle Competition
Kaggle has many real-time competitions that see hundreds of enthusiasts try to solve a problem. You can test out your knowledge and also learn where you need to explore more. This opportunity also allows you to connect to other AI enthusiasts. The forums are a rich resource on problem-solving and debugging.

Free Resources
There are many places on the internet and artificial intelligence courses which will help you expand your knowledge of AI one skill at a time. A great free resource is the Intel AI Academy which provides much-needed support, tech, and other tools for beginners like yourself.

Technical Approaches for building conversational APIs

Posted on by Imarticus Learning

 

Today’s GUIs can understand human speech and writing commands like the Amazon Echo and Google Home. Speech detection and analysis of human sentiments are now being used in your daily life and on your smart devices like the phones, security systems and much more. This means learning the AI approach.

The six smart system methods:
The existing artificial intelligence process and systems are not learning-based on interactive conversations, grounded in reality or generative methodology. The system of AI training needs to be one of the following.

Rule-based systems can be trained to recognize keywords and preset rules which govern their responses. One does not need to learn an array of new commands. It does need trained workforce with domain expertise to get the ball rolling.

Systems that are based on data retrieval are being used in most applications today. However, with speech recognition and conversational Artificial Intelligence courses being buzzwords, the need to scale and update quickly across various languages, sentiments, domains, and abilities needs urgent skilled manpower to update and use knowledge databases which are growing in size and volume.

The Generative methodology can overcome the drawbacks of the previous methods. In simple language, this means that the language system could be trained to generate its own dialogues rather than rely on pre-set dialogues.
The popular generative and interactive systems today incorporate one or all of the following methods to train software.

• Supervised learning is used to develop a sequence-to-sequence conversation mapping customer input to responses that are computer-generated.

• Augmented learning addresses the above issues and allows optimization for resolution, rewards, and engaging human interest.

• Adversarial learning improves the output of neural dialog which use testing and discriminatory networks to judge the output. The ideal training should involve productive conversations and overcome choice of words, indiscriminate usage and limitations on prejudging human behavior.

Methods relying on the ensemble that use the method most convenient to the context are being used in chatbots like Alexa. Low dialogue levels and task interpretation are primarily addressed. This method though cannot provide for intelligent conversations like human beings produce.

Learning that is grounded uses external knowledge and context in recognizing speech patterns and suggesting options. However, since human knowledge is basically in sets of data that is unstructured, the chatbots find it difficult to make responses of such unstructured data that are not linked to text, images or forms recognized by the computer.

The use of networking neural architecture into smaller concept based parts and separating a single task into many such components instantly while learning and training can help situational customization, external memory manipulation and integration with knowledge graphs can produce scalable, data-driven models in neural networks.

Learning interactively is based on language. Language is always developing and interactive when being used to enable collaborative conversations. The operator has a set goal based on the computer’s control and decisions. However, the computer with control over decision making cannot understand the language. Humans can now use SHRDLURN to train and teach the computer with consistent and clear command instructions. Based on experience it was found that creative environments were required for evolving models.

Which method to use is and how is where the creativity of human operators counts! To learn machine learning or an artificial intelligence and the systems of deploying it is the need of the hour no matter which technical method you use.