A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
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"content": "Artificial intelligence (AI) is actually impacting the future of virtually every sector and every human being on the earth. Artificial intelligence has been established as the primary driver of emerging technologies like the Internet, robotics, and the internet of Things (IoT). Moving into 2021, Artificial Intelligence will continue to act as a primary technological innovator for the foreseeable future. In the next decade, the rapid growth and acceptance of current and new technologies would be unparalleled.<br /><br />Surviving the Covid-19 pandemic during 2020 has triggered a fast change in consumer trends. Complex security and privacy concerns, the ethical use of Artificial Intelligence, and the increasing impact of climate change will drive industries to incorporate systemic risk into their long-term planning.<br /><br />Top 5 Artificial Intelligence Trends of 2021:-<br />1.Computer vision<br />2. Predictive Analytics<br />3.Robotization<br />4.Data Access Enabling Ubiquity <br />5.AI in Cybersecurity <br />",
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"published": "2021-04-06T12:19:16+00:00",
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"content": "Artificial intelligence (AI) is actually impacting the future of virtually every sector and every human being on the earth. Artificial intelligence has been established as the primary driver of emerging technologies like the Internet, robotics, and the internet of Things (IoT). Moving into 2021, Artificial Intelligence will continue to act as a primary technological innovator for the foreseeable future. In the next decade, the rapid growth and acceptance of current and new technologies would be unparalleled.\n\nSurviving the Covid-19 pandemic during 2020 has triggered a fast change in consumer trends. Complex security and privacy concerns, the ethical use of Artificial Intelligence, and the increasing impact of climate change will drive industries to incorporate systemic risk into their long-term planning.\n\nTop 5 Artificial Intelligence Trends of 2021:-\n1.Computer vision\n2. Predictive Analytics\n3.Robotization\n4.Data Access Enabling Ubiquity \n5.AI in Cybersecurity \n",
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"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode4):- 2020 has propelled eCommerce forward by about five years according to experts . With such dramatic change within one business will come a change of trends, shopping patterns and a lot more. We’re going to be talking about 5 trends we expect to be at the forefront of more retail and eCommerce businesses.<br /><br />With the second-largest internet user base, India has emerged as one of the most prominent markets globally. Being stuck at home because of the pandemic further triggered the desire to make life and work easier at home, People who would otherwise go out to buy groceries and medicines at the pharmacy, turned to e-commerce platforms to get essentials delivered at their doorsteps.<br /><br />The List Of Top 5 eCommerce Trends for 2021:-<br />1.Mobile Shopping<br />2.Augmented reality<br />3.Social Media in Ecommerce<br />4.Personalization is the Future<br />5.Artificial Intelligence<br /><br />We are back again with Episode #4 of the DT Knowledge Bytes <br />Stay Informed and Watch the Latest Episode of DT Knowledge Bytes.<br /><a href=\"https://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1/?utm_source=organic&utm_medium=trafic&utm_campaign=gitanshu\" target=\"_blank\">https://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1/?utm_source=organic&utm_medium=trafic&utm_campaign=gitanshu</a><br /><br />",
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"published": "2021-04-02T12:25:55+00:00",
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"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode4):- 2020 has propelled eCommerce forward by about five years according to experts . With such dramatic change within one business will come a change of trends, shopping patterns and a lot more. We’re going to be talking about 5 trends we expect to be at the forefront of more retail and eCommerce businesses.\n\nWith the second-largest internet user base, India has emerged as one of the most prominent markets globally. Being stuck at home because of the pandemic further triggered the desire to make life and work easier at home, People who would otherwise go out to buy groceries and medicines at the pharmacy, turned to e-commerce platforms to get essentials delivered at their doorsteps.\n\nThe List Of Top 5 eCommerce Trends for 2021:-\n1.Mobile Shopping\n2.Augmented reality\n3.Social Media in Ecommerce\n4.Personalization is the Future\n5.Artificial Intelligence\n\nWe are back again with Episode #4 of the DT Knowledge Bytes \nStay Informed and Watch the Latest Episode of DT Knowledge Bytes.\nhttps://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1/?utm_source=organic&utm_medium=trafic&utm_campaign=gitanshu\n\n",
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"content": "Get the latest update AI Weekly Gossip (Episode 28):-The National Education Policy (NEP) 2020 has suggested bringing in contemporary subjects like Artificial Intelligence (AI) in the curriculum, at relevant stages. The National Council of Educational Research & Training (NCERT) has begun the process for the preparation of a new National Curriculum Framework for School Education in pursuance of the NEP, 2020 during which the possibility of introducing an introductory course on Artificial Intelligence (AI) at secondary level would also be discovered. Meanwhile, the Central Board of Secondary Education (CBSE) has introduced Artificial Intelligence as a subject in class IX from session 2019-2020 and in Class-XI from session 2020-2021 in their affiliated schools. <br /><br />We are back again with Episode #28 of the AI Weekly Gossip. <br />Stay Informed and Watch the Latest Episode of AI Weekly Gossip. <br />",
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"published": "2021-04-01T09:54:32+00:00",
"source": {
"content": "Get the latest update AI Weekly Gossip (Episode 28):-The National Education Policy (NEP) 2020 has suggested bringing in contemporary subjects like Artificial Intelligence (AI) in the curriculum, at relevant stages. The National Council of Educational Research & Training (NCERT) has begun the process for the preparation of a new National Curriculum Framework for School Education in pursuance of the NEP, 2020 during which the possibility of introducing an introductory course on Artificial Intelligence (AI) at secondary level would also be discovered. Meanwhile, the Central Board of Secondary Education (CBSE) has introduced Artificial Intelligence as a subject in class IX from session 2019-2020 and in Class-XI from session 2020-2021 in their affiliated schools. \n\nWe are back again with Episode #28 of the AI Weekly Gossip. \nStay Informed and Watch the Latest Episode of AI Weekly Gossip. \n",
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"content": "Deep learning is actually a subset of machine learning that uses an algorithm influenced by the human mind. It learns from experiences.<br />The inspiration for deep learning is the way that the human brain filters information. The primary purpose of its is usually to simulate human like decision making. Neurons of the human brain pass the signals to do the activities. Likewise, artificial neurons connect in a neural network to perform tasks clustering, classification, and regression. The neural network sort the unlabeled data according to the similarities of the data. That’s the idea behind a deep learning algorithm.<br /><br />Top 8 practical examples of deep learning:-<br />1.Virtual assistants<br />2.Translations<br />3.Chatbots and service bots<br />4.Image colorization<br />5.Facial recognition<br />6. Medicine and pharmaceuticals<br />7.Personalized shopping and entertainment<br />8.Vision for driverless trucks, drones and autonomous cars<br /><br />",
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"url": "https://www.minds.com/newsfeed/1223889798415257600",
"published": "2021-03-31T07:01:05+00:00",
"source": {
"content": "Deep learning is actually a subset of machine learning that uses an algorithm influenced by the human mind. It learns from experiences.\nThe inspiration for deep learning is the way that the human brain filters information. The primary purpose of its is usually to simulate human like decision making. Neurons of the human brain pass the signals to do the activities. Likewise, artificial neurons connect in a neural network to perform tasks clustering, classification, and regression. The neural network sort the unlabeled data according to the similarities of the data. That’s the idea behind a deep learning algorithm.\n\nTop 8 practical examples of deep learning:-\n1.Virtual assistants\n2.Translations\n3.Chatbots and service bots\n4.Image colorization\n5.Facial recognition\n6. Medicine and pharmaceuticals\n7.Personalized shopping and entertainment\n8.Vision for driverless trucks, drones and autonomous cars\n\n",
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"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode3):- People analytics or HR analytics or talent analytics refers to data that managers use to understand and make decisions about their workforce. It uses statistics, maths and technology to large sets of talent data and uses it for managing these talents. Thus, people analytics is the data-driven approach to managing people at work.<br /><br />The primary role of a people analytics team is to provide the organization with insights that allow them to make better business decisions, thus improving business performance. Historically, analytics in HR had been largely focused on tracking basic HR metrics or providing reports to managers on headcount and attrition. However, people analytics teams are now focusing more and more on using data to understand every part of how people impact business value and operations, embedding analytics into real-time applications and the way we work to derive insights and support the business in making data-driven decisions.<br />We are back again with Episode #3 of the DT Knowledge Bytes Stay Informed and Watch the Latest Episode of DT Knowledge Bytes. <br />Watch more: shorturl.at/bozJ4",
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"url": "https://www.minds.com/newsfeed/1222158888670121984",
"published": "2021-03-26T12:23:04+00:00",
"source": {
"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode3):- People analytics or HR analytics or talent analytics refers to data that managers use to understand and make decisions about their workforce. It uses statistics, maths and technology to large sets of talent data and uses it for managing these talents. Thus, people analytics is the data-driven approach to managing people at work.\n\nThe primary role of a people analytics team is to provide the organization with insights that allow them to make better business decisions, thus improving business performance. Historically, analytics in HR had been largely focused on tracking basic HR metrics or providing reports to managers on headcount and attrition. However, people analytics teams are now focusing more and more on using data to understand every part of how people impact business value and operations, embedding analytics into real-time applications and the way we work to derive insights and support the business in making data-driven decisions.\nWe are back again with Episode #3 of the DT Knowledge Bytes Stay Informed and Watch the Latest Episode of DT Knowledge Bytes. \nWatch more: shorturl.at/bozJ4",
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"content": "The landscape of a data science job is actually promising and full of opportunities spanning various industries. The nature of the job allows an individual to take on flexible remote jobs and also to be self-employed.<br />The field of data science has grown exponentially in an extremely short period of time, as businesses have come to understand the benefits of collecting large volumes of data from sites, products, social networking platforms and other sources, and using of them for business advantages. Once the data is made available, data scientists use their analytical skills, evaluate data and extract valuable information that allows organizations to enhance their innovations.<br /><br />Top 6 Job Roles in the Data Science Industry:-<br />1.Data Analyst:-<br />- Data analysts are expected to know R, Python, HTML, SQL, C++, and Javascript.<br />- The average data analyst salary in India is 4.5 lakhs per annum.<br /><br />2.Data Scientist:-<br />- A Data Scientist must know various tools like Hadoop, R, Python, SAS, etc.<br />- The average data scientist salary in India is ₹7 LPA.<br /><br />3.Machine Learning Engineer:-<br />- Engineers should focus on Python, Java, Scala, C++, and Javascript.<br />- The average machine learning engineer salary in India is ₹7LPA<br /><br />4.Statistician:-<br />- Statisticians collect, organize, present, analyze, and interpret data to reach valid conclusions and make correct decisions<br />- The average statistician salary in India is ₹5 LPA.",
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"url": "https://www.minds.com/newsfeed/1221794716779675648",
"published": "2021-03-25T12:15:59+00:00",
"source": {
"content": "The landscape of a data science job is actually promising and full of opportunities spanning various industries. The nature of the job allows an individual to take on flexible remote jobs and also to be self-employed.\nThe field of data science has grown exponentially in an extremely short period of time, as businesses have come to understand the benefits of collecting large volumes of data from sites, products, social networking platforms and other sources, and using of them for business advantages. Once the data is made available, data scientists use their analytical skills, evaluate data and extract valuable information that allows organizations to enhance their innovations.\n\nTop 6 Job Roles in the Data Science Industry:-\n1.Data Analyst:-\n- Data analysts are expected to know R, Python, HTML, SQL, C++, and Javascript.\n- The average data analyst salary in India is 4.5 lakhs per annum.\n\n2.Data Scientist:-\n- A Data Scientist must know various tools like Hadoop, R, Python, SAS, etc.\n- The average data scientist salary in India is ₹7 LPA.\n\n3.Machine Learning Engineer:-\n- Engineers should focus on Python, Java, Scala, C++, and Javascript.\n- The average machine learning engineer salary in India is ₹7LPA\n\n4.Statistician:-\n- Statisticians collect, organize, present, analyze, and interpret data to reach valid conclusions and make correct decisions\n- The average statistician salary in India is ₹5 LPA.",
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"content": "With continual innovations in the worlds of Big Data as well as machine learning, data scientists are actually a brand new breed of industry experts who'll have the technical skill to resolve complicated issues as well as the curiosity to find them before they even happen. Utilizing components from both the IT and business worlds, the demand for data scientists is on the rise, but so is the competition. <br /><br />Some Of The Top Data Scientist Interview Questions To Help You Prepare For The Job Of Your Dream:-<br />1.What is Confusion Matrix? <br />2. What is ROC-AUC curve? <br />3.What is Normal Distribution?<br />4.Explain Gradient Descent?<br />5.What is Normal Distribution?<br />6.What are Artificial Neural Networks?<br />7.What are the various classification algorithms?<br />8.What is the difference between Machine Learning and Deep Learning?<br />9.What is Linear Regression? What are the assumptions of linear regression?<br />10.What is Data Science? How do Supervised and Unsupervised machine learning differ from each other?<br /><br />Start learning today's most in-demand skills. <br /><a href=\"https://www.youtube.com/watch?v=2j0XQiPAEx0\" target=\"_blank\">https://www.youtube.com/watch?v=2j0XQiPAEx0</a>",
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"url": "https://www.minds.com/newsfeed/1221073283304521728",
"published": "2021-03-23T12:29:16+00:00",
"source": {
"content": "With continual innovations in the worlds of Big Data as well as machine learning, data scientists are actually a brand new breed of industry experts who'll have the technical skill to resolve complicated issues as well as the curiosity to find them before they even happen. Utilizing components from both the IT and business worlds, the demand for data scientists is on the rise, but so is the competition. \n\nSome Of The Top Data Scientist Interview Questions To Help You Prepare For The Job Of Your Dream:-\n1.What is Confusion Matrix? \n2. What is ROC-AUC curve? \n3.What is Normal Distribution?\n4.Explain Gradient Descent?\n5.What is Normal Distribution?\n6.What are Artificial Neural Networks?\n7.What are the various classification algorithms?\n8.What is the difference between Machine Learning and Deep Learning?\n9.What is Linear Regression? What are the assumptions of linear regression?\n10.What is Data Science? How do Supervised and Unsupervised machine learning differ from each other?\n\nStart learning today's most in-demand skills. \nhttps://www.youtube.com/watch?v=2j0XQiPAEx0",
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"content": "Get the latest DT Tech News: breaking news and analysis on LG Innotek, Microsoft, Zendesk, Supercomputer, Japan's Fugaku, AI-powered, 3D camera, AUSIS, Axis Bank, Aadhaar processing solution, API, Bharti Airtel, Ministry of Education, Science and Technology, ICICI, RIKEN and more.<br /><br />We are back again with Episode #28 of the DT Tech news series where we bring to you the latest news from the field of technology that we have collected over the last week for all of you. <br /><br />Stay Informed and Watch the Latest News. <br />Visit our website: <a href=\"https://www.datatrained.com/\" target=\"_blank\">https://www.datatrained.com/</a> <br />Watch More Videos - <a href=\"https://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1\" target=\"_blank\">https://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1</a><br />",
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"url": "https://www.minds.com/newsfeed/1220714598840266752",
"published": "2021-03-22T12:43:59+00:00",
"source": {
"content": "Get the latest DT Tech News: breaking news and analysis on LG Innotek, Microsoft, Zendesk, Supercomputer, Japan's Fugaku, AI-powered, 3D camera, AUSIS, Axis Bank, Aadhaar processing solution, API, Bharti Airtel, Ministry of Education, Science and Technology, ICICI, RIKEN and more.\n\nWe are back again with Episode #28 of the DT Tech news series where we bring to you the latest news from the field of technology that we have collected over the last week for all of you. \n\nStay Informed and Watch the Latest News. \nVisit our website: https://www.datatrained.com/ \nWatch More Videos - https://www.youtube.com/channel/UCTRB_OkdfGEA80HyLYLL2UQ?sub_confirmation=1\n",
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"content": "The major goal of data science is to turn data into actionable insights the marketing sphere cannot skip the application of these insights for its benefit. Big data in marketing provides an opportunity to understand the target audiences much better.<br /><br />Data science is mostly applied in marketing areas of profiling, search engine optimization, Customer segmentation, Recommendation engines, Predictive analytics, Real-time analytics. Moreover, new ways to apply data science and analytics in marketing emerge every day. Among these, the new use cases include digital advertising, micro-targeting, micro-segmentation, and many others.",
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"url": "https://www.minds.com/newsfeed/1218878508916441088",
"published": "2021-03-17T11:08:01+00:00",
"source": {
"content": "The major goal of data science is to turn data into actionable insights the marketing sphere cannot skip the application of these insights for its benefit. Big data in marketing provides an opportunity to understand the target audiences much better.\n\nData science is mostly applied in marketing areas of profiling, search engine optimization, Customer segmentation, Recommendation engines, Predictive analytics, Real-time analytics. Moreover, new ways to apply data science and analytics in marketing emerge every day. Among these, the new use cases include digital advertising, micro-targeting, micro-segmentation, and many others.",
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"content": "Machine Learning has emerged as one of the go-to technologies for most companies today and rightly so. Machine learning not only helps organisations automate their processes but also ensures error-free results. Most importantly, Machine Learning allows businesses to leverage data to create solutions that are tailored to specific requirements.<br />Let’s look at some of the most promising enterprises which are attracting ML professionals across the country.<br /><br />Top 5 Companies Using Machine Learning:-<br /> 1.Pinterest – Improved Content Discovery<br /> 2.Facebook – Chatbot Army<br /> 3.Twitter – Curated Timelines<br /> 4.Google – Neural Networks and ‘Machines That Dream<br /> 5.Salesforce – Intelligent CRMs",
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"url": "https://www.minds.com/newsfeed/1218507935010332672",
"published": "2021-03-16T10:35:29+00:00",
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"content": "Machine Learning has emerged as one of the go-to technologies for most companies today and rightly so. Machine learning not only helps organisations automate their processes but also ensures error-free results. Most importantly, Machine Learning allows businesses to leverage data to create solutions that are tailored to specific requirements.\nLet’s look at some of the most promising enterprises which are attracting ML professionals across the country.\n\nTop 5 Companies Using Machine Learning:-\n 1.Pinterest – Improved Content Discovery\n 2.Facebook – Chatbot Army\n 3.Twitter – Curated Timelines\n 4.Google – Neural Networks and ‘Machines That Dream\n 5.Salesforce – Intelligent CRMs",
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"content": "From marketing to social media and from healthcare to travel every industry is using data science these days! As requested by a lot of our viewers today we will talk about what is data science in simple terms.",
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"content": "From marketing to social media and from healthcare to travel every industry is using data science these days! As requested by a lot of our viewers today we will talk about what is data science in simple terms.",
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"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode1):- More than 800 human resources leaders across 60 countries and all major industries to identify HR trends and assess HR priorities and expected challenges for 2021.<br />Building critical skills and competencies top the list, but HR leaders will also prioritize workforce and work (re)design, leadership, preparing for the future workplace, and improving the employee experience.<br /><br />Top 5 Trends That Will Shape The Future Of Human Resources:-<br />1.Temporary Contracts and Outsourcing<br />2.Well-being Programs<br />3.Additional Education<br />4.Data Analysis<br />5.HR’s New Role",
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"content": "Get the latest updates on trending job fields in our new series DT Knowledge Bytes(Episode1):- More than 800 human resources leaders across 60 countries and all major industries to identify HR trends and assess HR priorities and expected challenges for 2021.\nBuilding critical skills and competencies top the list, but HR leaders will also prioritize workforce and work (re)design, leadership, preparing for the future workplace, and improving the employee experience.\n\nTop 5 Trends That Will Shape The Future Of Human Resources:-\n1.Temporary Contracts and Outsourcing\n2.Well-being Programs\n3.Additional Education\n4.Data Analysis\n5.HR’s New Role",
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"content": "Instagram, the social networking app for sharing photos and videos, launched in 2010. Today, it boasts 800 million monthly active users and is owned by Facebook. There are 70 million photos uploaded to Instagram every day. People interact with each of those posts by showing their love with a heart, commenting, and using hashtags. What all of this activity does is create an enormous amount of data.<br />Once analyzed, by humans as well as increasingly through artificial intelligence algorithms, it can provide incredible business intel and insights into human behavior.",
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"content": "Instagram, the social networking app for sharing photos and videos, launched in 2010. Today, it boasts 800 million monthly active users and is owned by Facebook. There are 70 million photos uploaded to Instagram every day. People interact with each of those posts by showing their love with a heart, commenting, and using hashtags. What all of this activity does is create an enormous amount of data.\nOnce analyzed, by humans as well as increasingly through artificial intelligence algorithms, it can provide incredible business intel and insights into human behavior.",
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