Is it possible for conventional talent strategies to keep up as digital technologies begin to infiltrate the talent resourcing space? The answer to this is mostly a no. With advanced Analytics, Robotic Process Automation (RPA), Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning now drive a significant portion of such tasks. In this blog, we talk about a digital ecosystem for building talent strategies.
Read MoreThe Future of Machine Learning
Experts predict that Augmented Analytics will soon transform Business Intelligence. But do you know how Augmented Analytics functions? It uses AI and ML technologies to help generate data, gather insights and gives us newer ways to explore data analytics. Artificial intelligence has time & again proved to be a critical technology enabler. Businesses and enterprises are always looking for efficient ways to harness the power of AI and implement AI in their business. In this blog, we discuss the future of Machine Learning.
Read MoreArtificial Intelligence in Education | Application of AI in Education Sector
Artificial intelligence or AI is leaving no sector untouched. Across industries and disciplines, the use and application of AI have brought in successful results. Technology today is no more limited to science-related fields. With the education sector undergoing massive changes the application of AI seems like the most obvious solution. Especially, during current times where the entire world is limited to indoor living. Education has completely shifted its course from campus classes to online classes. In this blog, we discuss the application of AI in the Education Sector.
Read MoreREINFORCEMENT LEARNING ELEMENTS
Reinforcement learning requires four critical components, in addition to the agent and the environment: policy, reward signal, value function, and model.
What is Reinforcement Learning?
The process of training machine learning algorithms to make various decisions is known as reinforcement learning. The machine interacts with a difficult environment to attempt a state in which it learns from interactions with the environment and shapes itself based on how the environment responds.
Reasons to Learn Machine Learning | ML – A Smart Career Move!
Today, technologies such as artificial intelligence (AI) and machine learning (ML) have become so intertwined in our lives that it is difficult to fathom a future without them. Consider smart virtual assistants (Siri and Alexa), recommendation engines on online purchasing platforms (Amazon and Netflix), self-driving cars, and smart homes, which are all examples of machine learning applications. Certainly, the incorporation of these innovative technical breakthroughs has made our lives a lot easier. We tell you why taking up machine learning is a good career move!
Read MoreMachine Learning & Big Data|Application of ML in Big Data
Machine Learning and Big Data are the present IT industry’s “blue chips.” Big data storage analyzes and extracts information from large amounts of data. In this blog, we discuss Machine Learning and Big Data.
Read MoreGuide to Application Security | Cyber Security
Network outages, hacking, computer infections, and other related situations have varying degrees of impact on our lives, ranging from inconvenient to life-threatening. In this blog, we tell you all about application security.
Read MoreMachine Learning Trends 2022 | AI and ML
Artificial intelligence and machine learning are transforming the tech industry by assisting organisations in achieving their objectives, making key decisions, and developing novel goods and services. In this blog, we discuss machine learning trends 2022.
Read MoreGuide on Ethical Hacking|Cyber Security
Hacking is a rapidly spreading global epidemic. Hackers are technically skilled individuals who alter data to manage networks with the purpose of breaching and stealing sensitive data. But, once again, not all hackers are evil. In this post, we will look at the benefits and drawbacks of ethical hacking.
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