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Analytics Jobs Latest Questions

Gunmis
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GunmisBeginner
Asked: May 25, 2023In: Data Science & AI

Which institute is good for the Data Science Courses among Scaler, Tutort & Bosscoder Academy?

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artificial intelligence
  1. mauryaavinash017@gmail.comAvinash Maurya
    mauryaavinash017@gmail.comAvinash Maurya Beginner
    Added an answer on June 18, 2023 at 12:26 pm

    Scaler, Tutort, and Bosscoder Academy are all good institutes for Data Science courses. They all offer comprehensive curricula, experienced instructors, and strong placement records. However, there are some key differences between the three institutes that may make one a better fit for you than theRead more

    Scaler, Tutort, and Bosscoder Academy are all good institutes for Data Science courses. They all offer comprehensive curricula, experienced instructors, and strong placement records. However, there are some key differences between the three institutes that may make one a better fit for you than the others.

    Scaler Academy is known for its rigorous curriculum and its focus on preparing students for top tech jobs. The courses are taught by experienced industry professionals, and students have access to a variety of resources, including mock interviews and career counseling. Scaler Academy is a good choice for students who are serious about a career in Data Science and who are willing to put in the hard work.

    Tutort Academy offers a more flexible learning environment than Scaler Academy. Students can choose to attend live online classes or to watch recorded lectures on demand. Tutort Academy also offers a 2-year flexible pass, which means that students can enroll in multiple batches whenever they want for 2 years. Tutort Academy is a good choice for students who want a more flexible learning schedule or who want to take their time completing the course.

    Bosscoder Academy is known for its hands-on approach to learning. Students in Bosscoder Academy’s Data Science courses work on real-world projects from the start. This gives students the opportunity to gain practical experience and to build their portfolios. Bosscoder Academy is a good choice for students who want to learn by doing and who want to gain practical experience in Data Science.

    Ultimately, the best institute for you will depend on your individual needs and preferences. If you are looking for a rigorous curriculum and a focus on preparing for top tech jobs, then Scaler Academy is a good choice. If you want a more flexible learning environment, then Tutort Academy is a good option. And if you want a hands-on approach to learning, then Bosscoder Academy is a good choice.

    Here is a table that summarizes the key differences between the three institutes:

    FeatureScaler AcademyTutort AcademyBosscoder Academy
    CurriculumRigorousFlexibleHands-on
    InstructorsExperienced industry professionalsExperienced industry professionalsExperienced industry professionals
    ResourcesMock interviews, career counseling2-year flexible passReal-world projects
    Placement recordStrongStrongStrong
    CostHighMediumMedium

    I hope this helps!

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Adi Gupta
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Adi GuptaBeginner
Asked: April 10, 2023In: Data Science & AI

Which is the best Artificial Intelligence Books in India?

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artificial intelligence
  1. Sanjay Gupta
    Sanjay Gupta
    Added an answer on April 18, 2023 at 11:05 am

    1. Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig (2009): This textbook is widely regarded as the most comprehensive exploration of AI available, covering all facets from search algorithms, game playing machines, robotics to natural language processing. It also contRead more

    1. Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig (2009): This textbook is widely regarded as the most comprehensive exploration of AI available, covering all facets from search algorithms, game playing machines, robotics to natural language processing. It also contains a wealth of code examples for readers interested in learning how to program their own AI applications.
    2. The Elements of AI by Reaktor and the University of Helsinki (2018): This book offers an accessible entry point into studying artificial intelligence, machine learning and deep learning practices and provides an overview on various concepts such as convolutional networks, recurrent neural networks, supervised & unsupervised learning among others – without requiring any previous programming experience.
    3. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto (2018): Written by two leading researchers in the field of reinforcement learning this volume presents a unified treatment of machine learning methods drawn from neural networks, control theory, evolutionary computation and other areas – essentially making it one of the best books on reinforcement training available today!
    4. Machine Learning Yearning-Technical Strategy for AI Engineers in the Era Of Deep Learning By Andrew Ng (2018): As part of his series on effective machine learning strategies this book looks at scenarios where data sets are limited or non-existent; which can occur when working with sensitive data like healthcare patient info; how to prioritize development efforts for maximum impact; ways for speedier outcomes through using transfer-learning techniques among other topics related specifically to applied deep learning engineering practises .

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Pihu Gupta
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Pihu GuptaBeginner
Asked: April 3, 2023In: Data Science & AI

What are the types of computer vision in AI?

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artificial intelligence
  1. Naina Tiwari
    Naina Tiwari
    Added an answer on April 13, 2023 at 12:40 pm

    Computer vision in AI is a form of artificial intelligence that focuses on making computers interpret and understand the visual world. It enables them to recognize objects, detect movement, track objects, and respond to actions. There are several types of computer vision, which are described below:Read more

    Computer vision in AI is a form of artificial intelligence that focuses on making computers interpret and understand the visual world. It enables them to recognize objects, detect movement, track objects, and respond to actions. There are several types of computer vision, which are described below:

    1) Image Recognition: This type of computer vision involves identifying an object or scene in an image. The AI system interprets the image, detects features such as colors or shapes within it, and then assigns labels accordingly.

    2) Object Detection: This type of computer vision is used to identify objects within a given image. It will draw bounding boxes around each detected object and label it according to its pre-trained categories.

    3) Semantic Segmentation: This type of computer vision involves differentiating between pixels belonging to different objects present in an image. The goal is for the AI system to assign each pixel a class label based on what’s being seen in the picture (e.g., sky, dog).

    4) Motion Detection: Motion detection can be used for surveillance purposes or other applications where tracking motion is important. The system will detect motion from one frame to another over time by analyzing changes between frames over time with respect to background subtraction methods and optical flow techniques etcetera..

    5) Scene Understanding: Scene understanding allows machines to recognize entire scenes that consist of multiple objects under varying conditions like illumination or weather effects etcetera.. It involves locating all elements including people, buildings and vehicles while interpreting their environment accurately as well as understanding relations between them (like human-building interactions).

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Mayank Kumar
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Mayank KumarBeginner
Asked: March 30, 2023In: Data Science & AI

What are different heuristic search techniques in artificial intelligence?

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artificial intelligence
  1. Akshat Dhawan
    Akshat Dhawan
    Added an answer on April 1, 2023 at 5:32 pm

    Heuristic search techniques are an important area of Artificial Intelligence (AI) research. Heuristic search is a form of problem-solving where the goal is to find a solution path which leads to the goal state on a problem or task, using heuristics. In AI, the term ‘heuristics’ refers to rules of thRead more

    Heuristic search techniques are an important area of Artificial Intelligence (AI) research. Heuristic search is a form of problem-solving where the goal is to find a solution path which leads to the goal state on a problem or task, using heuristics. In AI, the term ‘heuristics’ refers to rules of thumb or strategies which are used to reduce the number of possible solutions in a given problem space. Heuristic search algorithms use these heuristics as a way of guiding their progress through the search space towards finding an optiomal solution. Some common heuristic search techniques include Depth-First Search (DFS), Breadth-First Search (BFS), A* Search, Hill Climbing and Simulated Annealing. Each technique has its own advantages and disadvantages but all share one purpose – to efficiently explore potential paths towards solving a problem.
    Depth-first Search (DFS) is an example of recursive backtracking: starting at one point in the graph and iteratively exploring every avenue available until you reach your destination or hit dead ends, then backtracking and trying another approach with successive branches from other points in the graph. This can be useful for quickly locating solutions in deep or large graphs, although it tends to get stuck in loops without any mechanism for finding better options on parts that have already been explored – DFS does not take into consideration previously found paths when looking up new ones so it won’t detect cycles easily if at all by itself.

    Breadth-first Search (BFS) is similar but works differently than DFS; instead of going deeper into one branch before exploring other possibilities from different starting points like DFS does, BFS looks initially at all those possible options first before delving further down specific branches – this can make it more effective for certain types problems where shorter overall paths are desired over deep searches with many backtracks along multiple levels deep within trees/graphs structures.

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Ved Prakash
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Ved PrakashBeginner
Asked: March 18, 2023In: Data Science & AI

Who is the father of artificial intelligence?

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artificial intelligence
  1. Priyanka Kaushal
    Priyanka Kaushal
    Added an answer on March 22, 2023 at 5:05 pm

    The father of Artificial Intelligence (AI) is widely acknowledged to be the British mathematician, computer scientist and wartime code breaker Alan Turing. He is sometimes referred to as the ‘Father of Computer Science’. Turing articulated his vision for AI research in a 1950 paper entitled ‘ComputiRead more

    The father of Artificial Intelligence (AI) is widely acknowledged to be the British mathematician, computer scientist and wartime code breaker Alan Turing. He is sometimes referred to as the ‘Father of Computer Science’.

    Turing articulated his vision for AI research in a 1950 paper entitled ‘Computing Machinery and Intelligence’, which proposed an experiment – now known as the Turing Test – that could be used to differentiate between a human and machine. The basic idea was that a computer program or machine should pass for a human if it succeeded in fooling an interrogator into thinking it was a person rather than another type of computer or programme.

    Turing’s work set the foundations for many modern applications of AI today, from voice recognition systems to self-driving cars.

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  • 5 Answers
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Aman Kaushal
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Aman KaushalBeginner
Asked: March 17, 2023In: Data Science & AI

Who is the Indian father of artificial intelligence?

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artificial intelligence
  1. Arjun Sharama
    Arjun Sharama
    Added an answer on April 4, 2023 at 6:51 pm

    Dabbala Rajagopal "Raj" Reddy (born June 13, 1937) is an Indian-born American computer scientist and Turing Award winner. He was an early artificial intelligence pioneer and has been on the faculties of Stanford and Carnegie Mellon for over 50 years. [4] He was the founding director of Carnegie MellRead more

    Dabbala Rajagopal “Raj” Reddy (born June 13, 1937) is an Indian-born American computer scientist and Turing Award winner. He was an early artificial intelligence pioneer and has been on the faculties of Stanford and Carnegie Mellon for over 50 years. [4] He was the founding director of Carnegie Mellon University’s Robotics Institute. He was instrumental in establishing India’s Rajiv Gandhi University of Knowledge Technologies to meet the educational needs of low-income, gifted rural youth. He is the president and CEO of the International Institute of Information Technology in Hyderabad. He was the first person of Asian origin to receive the Turing Award, also known as the Nobel Prize in Computer Science, in 1994 for his work in the field of artificial intelligence.

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  • 2 Answers
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Anonymous
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Anonymous
Asked: March 15, 2023In: Data Science & AI

What is the future of data science?

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artificial intelligence
  1. Nitish Rana
    Nitish Rana
    Added an answer on March 16, 2023 at 1:31 pm

    Data Science is a most demanded course in today's time as the demand for Data Scientist has increased enormously and they are one of the highest paid in the industry.

    Data Science is a most demanded course in today’s time as the demand for Data Scientist has increased enormously and they are one of the highest paid in the industry.

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Pooja Roy
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Pooja RoyBeginner
Asked: March 14, 2023In: Data Science & AI

The Impact of Human Robot Interaction on Society

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artificial intelligence
  • 0 Answers
  • 4 Views
Narisingh
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NarisinghBeginner
Asked: March 14, 2023In: Data Science & AI

The Future of AI Robots: Opportunities and Challenges

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artificial intelligence
  • 0 Answers
  • 11 Views
Faizaan Ali
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Faizaan AliBeginner
Asked: March 13, 2023In: Data Science & AI

What are the job prospects after completing a BTech in Artificial Intelligence?

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artificial intelligence
  1. Akhil Raj
    Akhil Raj
    Added an answer on March 13, 2023 at 6:51 pm

    Completing a BTech in Artificial Intelligence can open up a range of job opportunities in various industries. Here are some potential job prospects for graduates: AI Engineer/Developer: As an AI engineer/developer, you will be responsible for designing, developing, and implementing AI systems and alRead more

    Completing a BTech in Artificial Intelligence can open up a range of job opportunities in various industries. Here are some potential job prospects for graduates:

    1. AI Engineer/Developer: As an AI engineer/developer, you will be responsible for designing, developing, and implementing AI systems and algorithms for various applications, such as natural language processing, computer vision, and predictive analytics. You may work in industries such as finance, healthcare, or manufacturing.
    2. Machine Learning Engineer: As a machine learning engineer, you will be responsible for building and deploying machine learning models for various applications, such as fraud detection, recommendation engines, and predictive maintenance. You may work in industries such as e-commerce, gaming, or advertising.
    3. Data Scientist: As a data scientist, you will be responsible for analyzing large datasets to extract insights and identify patterns. You may work in industries such as finance, marketing, or healthcare, and will need to be proficient in programming languages such as Python, R, and SQL.
    4. Robotics Engineer: As a robotics engineer, you will be responsible for designing and developing robots and other autonomous systems. You may work in industries such as manufacturing, healthcare, or agriculture.
    5. AI Product Manager: As an AI product manager, you will be responsible for managing the development and deployment of AI-powered products and services. You will need to have a strong understanding of both AI technology and product management.
    6. Research Scientist: As a research scientist, you will be responsible for conducting research and developing new AI technologies and algorithms. You may work in academia, government, or industry research labs.

    Overall, the job prospects after completing a BTech in Artificial Intelligence are promising, as AI continues to transform various industries and becomes more integrated into our daily lives. However, as with any field, competition for jobs can be fierce, and it’s important for graduates to have a strong foundation in both AI theory and practical skills.

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Nasreen Fatima
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Nasreen FatimaBeginner
Asked: March 3, 2023In: Data Science & AI

What are the top AI companies in India?

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artificial intelligence
  1. Renuka Rani
    Renuka Rani
    Added an answer on March 3, 2023 at 6:02 pm

    India is rapidly emerging as a global leader in the field of Artificial Intelligence (AI). Several companies have been investing in AI technologies, and India has seen a surge in AI startups over the past few years. Here are some of the top AI companies in India: Infosys: Infosys is a multinationalRead more

    India is rapidly emerging as a global leader in the field of Artificial Intelligence (AI). Several companies have been investing in AI technologies, and India has seen a surge in AI startups over the past few years. Here are some of the top AI companies in India:

    1. Infosys: Infosys is a multinational corporation that provides business consulting, technology, and engineering services. It has been investing in AI research and development and has several AI-powered solutions for clients.
    2. Wipro: Wipro is a leading provider of IT services and consulting. The company has been investing in AI and has developed several AI-powered solutions for clients in various industries.
    3. TCS: Tata Consultancy Services (TCS) is a global IT services and consulting company that has been investing in AI and machine learning. TCS has developed several AI-powered solutions for clients in various industries.
    4. HCL Technologies: HCL Technologies is a multinational IT services and consulting company that has been investing in AI and has developed several AI-powered solutions for clients in various industries.
    5. NVIDIA: NVIDIA is a global technology company that designs graphics processing units (GPUs) for the gaming and professional markets. NVIDIA has been investing in AI research and development and has developed several AI-powered solutions for various industries.

    These companies have been leading the way in AI innovation in India and are expected to continue to drive the growth of AI in the country. With the rapid adoption of AI technologies in various industries, the demand for AI talent in India is also on the rise.

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Naveen Raju
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Naveen RajuBeginner
Asked: March 3, 2023In: Data Science & AI

Who is considered the Father of Artificial Intelligence?

  • 0
artificial intelligence
  1. Shreyash Roy
    Shreyash Roy
    Added an answer on March 3, 2023 at 5:51 pm

    The field of artificial intelligence owes much to the work of John McCarthy, who is widely considered as the Father of AI. McCarthy was an American computer scientist and cognitive scientist who was born in 1927 and passed away in 2011. He coined the term "artificial intelligence" in the summer of 1Read more

    The field of artificial intelligence owes much to the work of John McCarthy, who is widely considered as the Father of AI. McCarthy was an American computer scientist and cognitive scientist who was born in 1927 and passed away in 2011. He coined the term “artificial intelligence” in the summer of 1956, and it became a catalyst for a new field of study.

    McCarthy made significant contributions to various areas of computer science and AI, including the development of LISP programming language, which is still used in AI research today. He also co-founded the MIT Artificial Intelligence Laboratory (now the MIT Computer Science and Artificial Intelligence Laboratory) and was instrumental in creating the first AI conference in 1956.

    Moreover, McCarthy’s research focused on formalizing the processes of human reasoning and problem-solving. He proposed a number of key concepts in AI, including the idea of using logic to represent and manipulate knowledge, and the development of algorithms for reasoning and problem-solving. He also made significant contributions to the field of robotics, including the development of the first AI-controlled robotic arm.

    Overall, McCarthy’s work laid the foundation for the field of AI as we know it today, and his legacy continues to inspire and inform researchers in the field.

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Prasad Kumar
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Prasad KumarBeginner
Asked: March 2, 2023In: Data Science & AI

What are the career opportunities for B.Tech graduates in Artificial Intelligence?

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artificial intelligence
  1. Raju Kumar
    Raju Kumar
    Added an answer on March 2, 2023 at 6:55 pm

    B.Tech graduates in Artificial Intelligence (AI) have many career opportunities in various industries. It is a fast-growing field with high demand for experts. Popular roles include machine learning engineer, data scientist, researcher, consultant, manager and architect. AI is an exciting field to pRead more

    B.Tech graduates in Artificial Intelligence (AI) have many career opportunities in various industries. It is a fast-growing field with high demand for experts. Popular roles include machine learning engineer, data scientist, researcher, consultant, manager and architect. AI is an exciting field to pursue a career in, expected to grow in the near future.

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Spoorti Rana
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Spoorti RanaBeginner
Asked: March 2, 2023In: Data Science & AI

Who is considered the father of AI?

  • 0
artificial intelligence
  1. Ravi Shetty
    Ravi Shetty
    Added an answer on March 2, 2023 at 6:45 pm

    John McCarthy is considered the father of artificial intelligence (AI). He coined the term "artificial intelligence" in 1956 and was one of the pioneers of the field. McCarthy was a mathematician and computer scientist who played a significant role in the development of AI research. McCarthy is bestRead more

    John McCarthy is considered the father of artificial intelligence (AI). He coined the term “artificial intelligence” in 1956 and was one of the pioneers of the field. McCarthy was a mathematician and computer scientist who played a significant role in the development of AI research.

    McCarthy is best known for his contributions to the field of logic-based AI, particularly in the development of the LISP programming language. LISP is still widely used in AI programming today and is considered one of the foundational languages of the field.

    McCarthy was also instrumental in organizing the Dartmouth Conference in 1956, which is widely regarded as the birthplace of AI. The conference brought together many of the leading researchers in the field and set the agenda for AI research for decades to come.

    McCarthy’s contributions to the field of AI were numerous, and he was recognized for his work with numerous awards and honors throughout his career. He was awarded the Turing Award in 1971, which is considered the highest honor in computer science.

    While McCarthy is often credited with being the father of AI, it is important to note that many other researchers made significant contributions to the field over the years. Nonetheless, McCarthy’s legacy lives on, and his work continues to influence AI research and development today.

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Jugalraj roy
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Jugalraj royBeginner
Asked: February 25, 2023In: Data Science & AI

What are the top robotics companies in India?

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artificial intelligence
  • 0 Answers
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Bharadwaaj singh
  • 0
Bharadwaaj singhBeginner
Asked: February 25, 2023In: Data Science & AI

What are some innovative robots projects currently being developed?

  • 0
artificial intelligence
  1. Shreyash Roy
    Shreyash Roy
    Added an answer on February 25, 2023 at 3:05 pm

    There are several innovative robotics projects currently being developed that aim to revolutionize the way robots interact with humans and the environment. Some of the most promising projects include: Soft Robotics: This project aims to create robots that are more flexible and adaptable than traditiRead more

    There are several innovative robotics projects currently being developed that aim to revolutionize the way robots interact with humans and the environment. Some of the most promising projects include:

    1. Soft Robotics: This project aims to create robots that are more flexible and adaptable than traditional rigid robots. These robots use soft materials and are inspired by biological systems, allowing them to better interact with humans and navigate complex environments.
    2. Swarm Robotics: This project involves creating large groups of robots that can work together to accomplish complex tasks. These robots are designed to be highly autonomous and can adapt to changing environments in real-time.
    3. Exoskeletons: These are wearable robotic suits that can enhance human strength and mobility. Exoskeletons are being developed for a wide range of applications, from military use to assisting those with mobility impairments.
    4. Autonomous Drones: These are drones that can operate without human intervention. They are being developed for a wide range of tasks, from search and rescue to aerial photography.
    5. Agricultural Robots: These robots are being developed to improve efficiency in agriculture by automating tasks such as planting, watering, and harvesting. These robots can operate in difficult terrain and harsh weather conditions, reducing the need for human labor.
    6. Medical Robotics: These robots are being developed to assist with surgical procedures, rehabilitation, and patient care. They can perform tasks with greater precision than human surgeons and can assist with physical therapy for patients with mobility impairments.

    Overall, these innovative robotics projects have the potential to transform many industries, making them more efficient, safe, and sustainable.

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divya
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divyaBeginner
Asked: February 23, 2023In: Data Science & AI

What are the top artificial intelligence companies in India?

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artificial intelligence
  • 0 Answers
  • 31 Views
Raman Chauhan
  • 0
Raman ChauhanBeginner
Asked: November 7, 2022In: Data Science & AI

What are some artificial intelligence disadvantages?

  • 0
artificial intelligence
  1. Sheen Roy
    Sheen Roy
    Added an answer on November 8, 2022 at 12:49 pm

    Like every situation has got some positives and negatives, Similarly Artificial Intelligence has also got it positive side and artificial intelligence disadvantages are also evident. Following are some of the artificial intelligence disadvantages. 1. Unemployment Definitely one of the major artificiRead more

    Like every situation has got some positives and negatives, Similarly Artificial Intelligence has also got it positive side and artificial intelligence disadvantages are also evident.
    Following are some of the artificial intelligence disadvantages.
    1. Unemployment
    Definitely one of the major artificial intelligence disadvantages. Artificial Intelligence uses robot, which is displacing occupations and increasing unemployment (in a few cases). Therefore, people claim that there is always a chance of unemployment as a result of robots replacing humans.
    For instance, robots are frequently used to replace human power in manufacturing businesses in some more technologically advanced nations .
    2. Highly expensive
    The power to create a machine that can act similar to human intelligence is no small task. It requires lots of time and resources and can cost a huge amount of money. AI also needs to function on the latest software and hardware to stay updated and meet the latest expectations, thus making it quite costly.
    3. Lack of Ethics
    Ethics and morality are important features of a human being that can be difficult to incorporate into an AI machine. The fast progress of AI has raised a number of concerns that some day, AI will grow uncontrollably, and eventually wipe out humans. This phase is referred to as the AI singularity. Thus, it acts as one of the prominent artificial intelligence disadvantages.
    4.Increase in Laziness
    As we do not have to remember things or solve puzzles to get the job done, we tend to use our brains very less. This addiction to AI can cause major problems to upcoming generations.
    5.Lack of improvement
    Humans cannot develop A.I because it is a technology based on pre-programmed facts and experience. AI is effective at repeatedly carrying out the same task, but if we want any improvements or adjustments we must manually alter the codes. AI cannot be accessed and utilized similar to human intelligence, but it can store huge amount of data. Machines can only complete tasks they have been designed for programmed for and if they are asked to complete anything else, they fail or provide useless results, which can have significant negative effects.
    These are some of the artificial intelligence disadvantages which can cause havoc for human beings.

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  • 3 Answers
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Amit Bedi
  • 2
Amit BediBeginner
Asked: November 3, 2022In: Data Science & AI

What are some real-life artificial intelligence projects for students?

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artificial intelligence
  1. Akhila Gopi
    Akhila Gopi
    Added an answer on November 4, 2022 at 6:38 pm

    A.I is the future and artificial intelligence projects for students will enhance their skills for a better future. For decades scientists have worked on making AI possible and today, we have reached a point where we have access to them in our daily lives. It doesn’t matter whether you are navigatingRead more

    A.I is the future and artificial intelligence projects for students will enhance their skills for a better future. For decades scientists have worked on making AI possible and today, we have reached a point where we have access to them in our daily lives. It doesn’t matter whether you are navigating the streets with the help of your AI-enabled navigation system or asking for movie recommendations from the comforts of your home- AI has touched all our lives. I have sorted from a bunch of list on what would be the perfect artificial intelligence projects for students and be suitable for them.
    So, here are some of the artificial intelligence projects for students.
    Facial recognition – It is a feature for recognizing or verifying a person’s identification by looking at their face. Definitely! one of the best artificial intelligence projects for students according to me.This technology can recognize persons in videos,photos and in real-time scenarios. Although there has been growing interest in other applications, this technology is mostly employed for law enforcement and security. Typically, face recognition does not require a large database of images to identify an individual’s identification; rather it identifies and recognizes one person as the device’s only owner, while restricting access to others.
    CV Analysis It is one of the more intriguing A.I project concepts. Shortlisting deserving individuals from a large list of CVs is a difficult task. The idea of this project is to build cutting-edge software that can give a sound and equitable CV ranking system. Candidates will be ranked based on their abilities and expertise. It will also take note of all other important factors, such as interests, soft skills, professional qualifications, and so on.
    AI Chatbots -Creating a chatbot is one of the top AI-based initiatives. You can get ideas from chatbots that are found on various websites. After you have constructed a basic chatbot, you can renew it and create a more complex version. Artificial intelligence enables you to fly and it supports you in putting your ideas into reality.
    AI Self Driving Cars- This is one of the best artificial intelligence projects for students.Artificial intelligence breakthroughs have allowed cars to learn to perform these tasks much better than human beings. It uses a complex math and image recognition technique. This project is highly recommended to those who are AI enthusiasts in college or who have recently graduated from college.
    Voice based Virtual assistant- You may use virtual voice assistants to do things like search the web for services, shop for products, compose notes and create reminders etc. Because the assistant has been taught to comprehend normal human language and it will help recognize the command and save it within the database. It can also convert text to speech. for eg google assistant

    These are some of the real-life artificial intelligence projects for students which will provide them a bigger picture about Artificial Intelligence.

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Abhay Singh
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Abhay SinghBeginner
Asked: November 3, 2022In: Data Science & AI

What is the Artificial Intelligence Syllabus?

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artificial intelligence
  1. Lovely Singh
    Lovely Singh
    Added an answer on November 4, 2022 at 6:38 pm

    Anyone who wants to learn AI is a beginner at some time, whether it is a fresh college graduate or an individual already working and wants to move into this career path. Everyone starts somewhere someday. So, never take the pressure of the syllabus. For sure, learning is huge, but it is not complex.Read more

    Anyone who wants to learn AI is a beginner at some time, whether it is a fresh college graduate or an individual already working and wants to move into this career path. Everyone starts somewhere someday. So, never take the pressure of the syllabus. For sure, learning is huge, but it is not complex. If followed properly, anyone can achieve it and interest matters more than the discussion on difficulty level. AI is very vast and similarly artificial intelligence syllabus is also very vast but there are some of the most important topics in artificial intelligence syllabus which are mostly relevant in the current scenario.
    In this article, I will tell you about the most important artificial intelligence syllabus
    Natural Language Processing : This entails understanding and generating content in natural language (e.g. English). Chatbots are an application of NLP
    Machine learning: Machine learning deals with statistical and mathematical models used by algorithms to learn some functions by way of examples. ML is heavily used in all types of tech processes.I love this part of the artificial intelligence syllabus. Machine learning is a set of tools data scientists use to discover correlations between input data and desired outputs. A lot of data science projects use machine learning, but not all data science is about machine learning. Data science also involves analytic problem solving, business insight, data manipulation and other skills. The amount of time a data scientist often spends on the machine learning part is usually much lower than the time spent on analyzing the business case, cleaning up data, reshaping data into a form you can use and making sure the results make sense (cross validating, hypothesis testing etc.)
    Symbolic logic: This is where A.I started or you can say the basis of all the artificial intelligence syllabus. Symbolic logic is not a field with great many applications but it is important for its historic context.
    Deep learning: A related field is deep learning, where the learning takes place through black-box algorithms with several complicated/inter-connected layers of processing units. Artificial neural networks are an example of this.
    These are some of the important parts of the artificial intelligence syllabus.

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