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mkdocs.yml
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site_name: A Lazy Data Science Guide
site_url: http://mohitmayank.com/a_lazy_data_science_guide/
repo_url: https://github.com/imohitmayank/a_lazy_data_science_guide
theme:
name: material
custom_dir: docs/overrides
logo: imgs/logo.png
favicon: imgs/logo.png
features:
- navigation.tabs
- navigation.sections # remove this to hide the navigation
palette:
- scheme: default
toggle:
icon: material/toggle-switch-off-outline
name: Switch to dark mode
- scheme: slate
primary: red
toggle:
icon: material/toggle-switch
name: Switch to light mode
markdown_extensions:
- abbr
- admonition
- attr_list
- mdx_truly_sane_lists
- md_in_html
- pymdownx.highlight
- pymdownx.inlinehilite
- pymdownx.superfences
- pymdownx.snippets
- pymdownx.details
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- pymdownx.arithmatex:
generic: true
- pymdownx.tabbed:
alternate_style: true
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
extra_javascript:
- javascripts/mathjax.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
extra:
disqus: mohitmayank
analytics:
provider: google
property: G-2DVXT9L5D4
social:
- icon: fontawesome/brands/twitter
link: https://twitter.com/imohitmayank
- icon: fontawesome/brands/github
link: https://github.com/imohitmayank
- icon: fontawesome/brands/linkedin
link: https://www.linkedin.com/in/imohitmayank/
- icon: fontawesome/brands/medium
link: https://medium.com/@mohitmayank
nav:
- 'Introduction':
- 'Hello': 'index.md'
- 'Getting started with Data Science': 'introduction/getting_started.md'
- 'Natural Language Processing':
- 'Interview Questions' : 'natural_language_processing/interview_questions.md'
- 'Architectures/Models':
- 'Word2Vec': 'natural_language_processing/word2vec.md'
- 'LSTM, GRU & RNN': 'natural_language_processing/lstm_gru_rnn.md'
- 'Transformers': 'natural_language_processing/transformer.md'
- 'natural_language_processing/BERT.md'
- 'natural_language_processing/GPTs.md'
- 'MiniLM': 'natural_language_processing/minilm.md'
- 'natural_language_processing/T5.md'
- 'natural_language_processing/FlanModels.md'
# - 'ChatGPT': 'natural_language_processing/chatgpt.md'
- 'LLaMA': 'natural_language_processing/llama.md'
- 'Mamba': 'natural_language_processing/mamba.md'
- 'Large Language Models':
- 'Training LLMs': 'natural_language_processing/training_llm.md'
- 'Prompt Engineering': 'natural_language_processing/prompt_engineering.md'
- 'natural_language_processing/explainable_ai_llm.md'
- 'natural_language_processing/streaming_chatgpt_gen.md'
- 'natural_language_processing/making_llm_multilingual.md'
- 'Tasks':
- 'natural_language_processing/paraphraser.md'
- 'natural_language_processing/text_similarity.md'
- 'natural_language_processing/text_generation.md'
- 'natural_language_processing/relation_extraction.md'
- 'Question Answering': 'natural_language_processing/qa.md'
- 'Data-to-Text Generation': 'natural_language_processing/data_to_text_generation.md'
- 'Named Entity Recognition' : 'natural_language_processing/named_entity_recognition.md'
- 'Natural Language Querying': 'natural_language_processing/nlq.md'
# - 'Retrieval Augmented Generation (RAG)' : 'natural_language_processing/rag.md'
- 'Audio Intelligence':
- 'Interview Questions': 'audio_intelligence/interview_questions.md'
- 'Code Snippets': 'audio_intelligence/audio_snippets.md'
- 'Algorithms':
- 'Wav2Vec2': 'audio_intelligence/wav2vec2.md'
- 'audio_intelligence/whisper.md'
- 'Tasks':
- 'Voice Activity Detection': 'audio_intelligence/voice_activity_detection.md'
- 'Speaker Diarization': 'audio_intelligence/speaker_diarization.md'
- 'Speech to Text': 'audio_intelligence/stt.md'
- 'Text to Speech': 'audio_intelligence/tts.md'
- 'Techniques':
- 'Connectionist Temporal Classification': 'audio_intelligence/connectionist_temporal_classification.md'
- 'Network Science':
- 'Introduction': 'network_science/introduction.md'
- "Graph Neural Networks":
- 'Introduction': 'network_science/gnn_introduction.md'
- 'Algorithms':
- 'DeepWalk': 'network_science/gnn_deepwalk.md'
- 'Knowledge Graphs':
- 'Introduction': 'network_science/kg_introduction.md'
- 'KG Embedding Algorithms': 'network_science/kg_embedding_algorithms.md'
- 'Data Science Tools':
- 'data_science_tools/introduction.md'
- 'data_science_tools/python_snippets.md'
- 'data_science_tools/version_control.md'
- 'data_science_tools/compute_and_ai_services.md'
- 'data_science_tools/scraping_websites.md'
- 'Database':
- 'Introduction': 'data_science_tools/databases_introduction.md'
- 'PostgreSQL': 'data_science_tools/database_postgresql.md'
- 'Good Practices':
- 'Github': 'data_science_tools/github_good_practices.md'
- 'Python': 'data_science_tools/python_good_practices.md'
- 'Machine Learning':
- 'machine_learning/introduction.md'
- 'machine_learning/ML_snippets.md'
- 'Interview Questions' : 'machine_learning/interview_questions.md'
- 'Techniques':
- 'machine_learning/clustering.md'
- 'machine_learning/classification.md'
- 'machine_learning/loss_functions.md'
- 'Detecting AI Generated Content': 'machine_learning/genaidetection.md'
- 'Direct Preference Optimization (DPO)': 'machine_learning/dpo.md'
- "Model Compression":
- 'Introduction': 'machine_learning/model_compression_intro.md'
- 'Knowledge Distillation': 'machine_learning/model_compression_kd.md'
- 'Model Quantization': 'machine_learning/model_compression_quant.md'
# - 'Blogs':
# - 'Ranking Algorithms': 'machine_learning/ranking_algorithms.md'
- 'Reinforcement Learning':
- 'reinforcement_learning/introduction.md'
- 'Interview Questions' : 'reinforcement_learning/interview_questions.md'
- 'Techniques' :
- 'RLHF': 'reinforcement_learning/rlhf.md'
- 'Q-Learning': 'reinforcement_learning/q_learning.md'
- 'Multi-Arm Bandit': 'reinforcement_learning/multi_arm_bandit.md'
# - 'Blogs':
# - 'reinforcement_learning/interactive_q_learning.md'
# - 'reinforcement_learning/multi_arm_bandit_part_1.md'
# - 'reinforcement_learning/multi_arm_bandit_part_2.md'