Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...
Full BioNand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
3 Best Programming Languages For Internet of Things Development In 2018
871 days ago
Data science is the big draw in business schools
1044 days ago
7 Effective Methods for Fitting a Liner
1054 days ago
3 Thoughts on Why Deep Learning Works So Well
1054 days ago
3 million at risk from the rise of robots
1054 days ago
Top 10 Hot Artificial Intelligence (AI) Technologies
345489 views
2018 Data Science Interview Questions for Top Tech Companies
97533 views
Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
92403 views
Here's why so many data scientists are leaving their jobs
90162 views
Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
69999 views
What Exactly is Artificial Intelligence and Why is it Driving me Crazy
![]() |
- The Age of Handcrafted Knowledge
- The Age of Statistical Learning
- The Age of Contextual Adaptation.

"Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"â?¦.Capabilities generally classified as AI as of 2017 include successfully understanding human speech, competing at a high level in strategic game systems (such as chess and Go), autonomous cars, â?¦and interpreting complex data, including images and videos."
"In the course of 60 or so years of research, AI has developed a large number of tools to solve the most difficult problems in computer science,�neural network, kernel methods such as SVMs, K-nearest neighbor, �naïve Bayes�and decision trees."
"Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: speech recognition, learning, planning, problem solvingâ?¦.Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering."
"Machine learning is another core part of AI. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory."
"For the purpose of our survey, we used the definition of artificial intelligence from the Oxford Dictionary: "AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." However, AI is evolving rapidly, as is the understanding and definition of the term."
- "ML is a subfield of AI. We highlight ML courses because of their rapid enrollment growth and because ML techniques are critical to many recent AI achievements."
"The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) - that is, the machine's ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it's given. â?¦Artificial intelligence and machine learning come in many flavors, but most of the successes in recent years have been in one category: supervised learning systems, in which the machine is given lots of examples of the correct answer to a particular problem. This process almost always involves mapping from a set of inputs, X, to a set of outputs, Y."