Author: misamaliraza94
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ML helps you to understand customers better
ML technologies and solutions can dig into customer data and understand individual needs, preferences, and pain points of each customer segment. This, in turn, allows companies to create highly personalized products/services, offers and discounts, and marketing strategies to cater to individual customer needs. In the long run, a company can maintain long-term relationships with happy…
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ML increases your knowledge and efficiency
As we said earlier, machine learning is one of the in-demand skills one can have now. Learning about the field and acquiring the necessary skills will not only help expand your knowledge base, but it will also make you a valuable asset for any organization. You can use your ML knowledge to add value to…
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Machine Learning jobs are peaking
While job opportunities in data science and ML are spiking rapidly, unfortunately, there aren’t enough talented professionals to fill job vacancies in these domains. In fact, 2018 statistics show that over 50,000 jobs in data science and ML remained unfulfilled due to the shortage of qualifying talent and skills. Furthermore, Gartner maintains that out of 10 lakh…
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ML jobs come with big paychecks
Yes, being one of the most in-demand skills right now, ML jobs pay very well. According to Glassdoor, the average annual salary of ML jobs in India is anywhere between Rs. 4,60,000 and Rs. 11,00,000. Since there is a severe shortage of talented professionals in data science and ML, companies are usually willing to compensate…
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ML brings better career opportunities
According to the latest reports, while the global ML market was valued at $1.4 billion in 2017, it is predicted to reach $8.8 billion by 2022, growing at a compound annual growth rate (CAGR) of 43.6% between 2017 and 2022. Furthermore, by 2020, AI and ML hold the potential to create an additional value of $2.6 trillion. …
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Which programming language is used for AI?
Below are the top five programming languages that are widely used for the development of Artificial Intelligence: Python Java Lisp R Prolog Among the above five languages, Python is the most used language for AI development due to its simplicity and availability of lots of libraries, such as Numpy, Pandas, etc.
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What is Deep Learning, and how is it used in real-world?
Deep learning is a subset of Machine learning that mimics the working of the human brain. It is inspired by the human brain cells, called neurons, and works on the concept of neural networks to solve complex real-world problems. It is also known as the deep neural network or deep neural learning. Some real-world applications of…
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Explain the term “Q-Learning.”
Q-learning is a popular algorithm used in reinforcement learning. It is based on the Bellman equation. In this algorithm, the agent tries to learn the policies that can provide the best actions to perform for maximining the rewards under particular circumstances. The agent learns these optimal policies from past experiences. In Q-learning, the Q is…
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What are the types of Machine Learning?
Machine Learning can be mainly divided into three types: Supervised Learning: Supervised learning is a type of Machine learning in which the machine needs external supervision to learn from data. The supervised learning models are trained using the labeled dataset. Regression and Classification are the two main problems that can be solved with Supervised Machine Learning. Unsupervised Learning: It is a…
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What are the different domains/Subsets of AI?
AI covers lots of domains or subsets, and some main domains are given below: Machine Learning Deep Learning Neural Network Expert System Fuzzy Logic Natural Language Processing Robotics Speech Recognition.