Answer the question in maximum 15 to 20 words. This question carries 03 marks.[MPPSC 2023] Indicate the name of the atomic hydrogen spectrum line series.
- Machine Learning (ML) - Involves algorithms learning from data to make predictions or decisions. - Includes supervised, unsupervised, and reinforcement learning techniques. - Relies on feature engineering for data representation. - Commonly used for classification, regression, clustering,Read more
– Machine Learning (ML)
– Involves algorithms learning from data to make predictions or decisions.
– Includes supervised, unsupervised, and reinforcement learning techniques.
– Relies on feature engineering for data representation.
– Commonly used for classification, regression, clustering, and recommendation systems.
– Suitable for scenarios with structured data and known features.
– Deep Learning (DL)
– Subset of ML using neural networks with multiple layers to learn data representations.
– Excels with large, unstructured datasets like images, audio, and text.
– Can automatically learn features from raw data, eliminating the need for feature engineering.
– Effective for tasks such as image and speech recognition, natural language processing, and generative modeling.
– Models like CNNs for image recognition and RNNs for sequence data have shown impressive performance.
– Selection Criteria
– Choose ML when working with structured data and known features.
– Opt for DL when handling unstructured data where automatic feature learning is beneficial.
– Decision depends on data nature, complexity of the problem, and the specific task requirements.
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Spectral Line Series for Atomic Hydrogen Introduction In atomic physics, the spectral lines of hydrogen are categorized into distinct series based on the transitions of electrons between different energy levels. Each series corresponds to a specific range of wavelengths or frequencies of light emittRead more
Spectral Line Series for Atomic Hydrogen
Introduction
In atomic physics, the spectral lines of hydrogen are categorized into distinct series based on the transitions of electrons between different energy levels. Each series corresponds to a specific range of wavelengths or frequencies of light emitted or absorbed by hydrogen atoms. Understanding these series is fundamental in spectroscopy and various applications in astrophysics and quantum mechanics.
1. Balmer Series
2. Lyman Series
3. Paschen Series
4. Brackett Series
5. Pfund Series
6. Humphreys Series
Conclusion
The spectral lines for atomic hydrogen are organized into several series based on the energy levels involved in electron transitions. These series include the Balmer, Lyman, Paschen, Brackett, Pfund, and Humphreys series. Each series covers different regions of the electromagnetic spectrum and has unique applications in astrophysics, quantum mechanics, and spectroscopy. For UPSC Mains aspirants, understanding these series is essential for comprehending the behavior of atomic hydrogen and its relevance in various scientific fields.
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