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LoginGAN stands for Generative Adversarial Network. It is a deep learning model where two neural networks (a Generator and a Discriminator) compete with each other. The Generator creates synthetic data, and the Discriminator distinguishes real and fake data, which leads to more realistic outputs.
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The online data science certificate course fee ranges from ₹50,000 to ₹8,00,000, depending on the course level, type of institute, and duration. Our data science course fee depends on the program you select, i.e. TechMaster and TechMaster Pro. The TechMaster program costs ₹59,000, wherein you get the Karmick Institute certification after course completion. Whereas the TechMaster Pro program is ₹88,500, offering you a premium experience with advanced certification from E&ICT Academy, IIT Guwahati.
Absolutely! You can easily learn data science online through our E&ICT- IIT Guwahati certified Full Stack Data Science with GenAI & ML course. Our comprehensive curriculum covers all aspects from basic to advanced concepts, and cutting-edge AI tools for data science that turn you into a job-ready data scientist in 6 months.
The salary of a data scientist in India depends on various factors, including experience, location, and company. However, the average salary for a Data Scientist in India is ₹11,70222 per year.
GenAI tools help in generating simulated data for hands-on learning, assisting coding tasks, explaining complex tasks in simple and understandable terms, and brainstorming project ideas. Gen AI tools make the learning process more efficient and interactive.
AI tools in data science projects aid in data cleaning, build and analyse machine learning models, and generate valuable insights from complex sets of data. These tools boost efficiency and accuracy in data science workflows.
Yes, you can do data analysis with ChatGPT. This AI tool for data science assists with initial data exploration, summarisation, and generating code for analysis. However, for complex computations and in-depth statistical analysis, dedicated data science tools are more ideal.
GAN stands for Generative Adversarial Network. It is a deep learning model where two neural networks (a Generator and a Discriminator) compete with each other. The Generator creates synthetic data, and the Discriminator distinguishes real and fake data, which leads to more realistic outputs.
LLM stands for Large Language Model. It is a type of deep learning model with innumerable parameters that can understand, create, and manipulate human language. In data science, large language models are leveraged for various tasks like NLP (natural language processing), sentiment analysis, text generation, and extracting info from text data.
Data analysts emphasise identifying trends, describing historical data, and creating reports. On the other hand, data scientists leverage advanced statistical and ML techniques to analyse complex sets of data, create predictive models, and pull out invaluable insights for businesses.
