In this post we will cover ML Classification in detail with a project. Classification algorithms are used for predictive modeling problem where input training data is used to predict the probability that future data will fall into one of the predetermined/labelled categories. To understand classification in detail the best way is to learn ( a bit) of theory and implement a project. In this post we are going to build a project.

Healthcare must look at how access to the right patient data, paired with advanced analytics and machine learning, can enhance medical and …

In this case study, we will make a chatbot/QA Bot Question and answers. Basically, we would be dealing with a CSV file consisting of questions With their corresponding answers. This is a deep learning based problem. In the below two graphs I tried to plot the counts'DifficultyFromQuestioner' and'DifficultyFromAnswerer' to see how the data vary. The plot depicts that the'DifficultyFromAnswerer' in this the too easy and too hard are really less in the count so need to properly divide the data.

Philadelphia, PA, Nov. 29, 2021 (GLOBE NEWSWIRE) -- VSBLTY Groupe Technologies Corp. (OTCQB: VSBGF) (CSE: VSBY) (Frankfurt 5VS) ("VSBLTY"), a leading software provider of security and retail analytics technology, today issued its CEO Update to highlight Q3 financial performance as well as recent corporate milestones. VSBLTY CEO & Co-founder Jay Hutton said, "VSBLTY is pleased to report that the third quarter bookings were a strong $4.5 million USD, resulting in a booked to revenue ratio of over 8 to 1 and providing a leading indicator of the Company's revenue growth potential. Q3 revenue reached $522,683 USD, reflecting continued strong sales of both retail and security solutions." Hutton added, "Further encouraging is that Q4 revenue is already considerably ahead of Q3 results and we are anticipating a strong finish to this calendar year." Since the end of Q3 the Company has seen a significant increase in the exercise of its previously issued Warrants, resulting in cash inflows of over $2.8 million USD.

AI is more accessible to young people in the workforce who grew up as'digital natives' with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion at AI World Government on Mindset Needs and Skill Set Myths for AI engineering teams, held this week virtually and in-person in Alexandria, Va. "People feel that AI is within their grasp because the technology is available, but the technology is ahead of our cultural maturity," said panel member Dorothy Aronson, CIO and Chief Data Officer for the National Science Foundation. We might have access to big data, but it might not be the right thing to do," to work with it in all cases. Things are accelerating, which is raising expectations. When panel member Vivek Rao, lecturer and researcher at the University of California at Berkeley, was working on his PhD, a paper on natural language processing might be a master's thesis. "Now we assign it as a homework assignment with a two-day turnaround.

I'll be glad to wave goodbye to 2020. This annus horribilis gave us both a global pandemic and a financial crisis, and it laid bare racial inequalities. It's probably fair to say that this has been one of the worst years in recent times, with COVID-19 registering more than 1.6 million deaths and 74.3 million cases worldwide as of Dec. 17, according to the New York Times. The pandemic had a worse impact on small-scale to large-scale businesses. It's time for a fresh start and thinks about what we can implement in 2021.

Market-leading provider of vehicle safety systems Brigade Electronics has launched a new predictive collision detection system. Sidescan Predict is the next generation of collision avoidance systems. Supported by the Knowledge Transfer Partnership initiative with Cambridge University, the aim was to develop a cost-effective and reliable collision detection system that can intelligently discriminate potential collisions and warn the driver with sufficient time for intervention – a predictive system. Having been in development and undergone rigorous testing for more than seven years, including 10,000 hours of research, Sidescan Predict had its first trials in 2020 receiving excellent driver feedback. Drivers noticed a significant reduction in the risk of collision with both vulnerable road users and static objects.

China has been focusing a lot on increasing its AI prowess over the years. The fuel to China's growth engine can be attributed to a kernel of four startups: SenseTime, Megvii, CloudWalk Technology and Yitu. They are also known as China's AI Quartet accounting for nearly 60% of China's computer vision market. Baidu, Alibaba, Tencent (BAT) along with DJI are the other set of companies investing heavily in cutting age technologies. Lets understand the situation taking analogy of the Dot Com bubble that popped in the late 1990s.

In the decade where everyone is busy minding their own work, living life is quite difficult for the people with disabilities and as shown by the reports more than 1 billion people are disabled in one way or other and for them, there is a lot of sympathy for their miserable life, but the real help is very less. Artificial Intelligence is the field that has been used over the period to help people with disabilities of every age, ethnicity, gender identity, race, sexual orientation, socioeconomic status. As boasted theoretically on the internet, is Artificial Intelligence really helping disabled people so much to make their life easier? Will AI improve in the future? One of the major problems for a disabled person is to get employed and to help them Artificial Intelligence works as a kind of middleman to help a person identify an organization and vice-versa.

In the world of blockchains, NFT's and many other trending scenarios, Artificial Intelligence is the one which is used in every innovation in different kind of ways which makes it perfect for the world to grow. Artificial Intelligence has its presence in almost every field of work, from healthcare and Medical Imaging analysis to self-driving cars all the things are covered with AI. There is one more area where AI plays a very important role that is Security. When it comes to security the one thing arises in our mind is safety. Everyone wants its data and private documents to be in safe hands, there should not be any malware attacks to our data.