# Table of Contents ## Background - [README.md](./README.md) - [ai_books.md](./ai_books.md) - [ai_engineer.md](./ai_engineer.md) - [ai_faq.md](./ai_faq.md) - [ai_hype.md](./ai_hype.md) - [ai_intro.md](./ai_intro.md) TODO: This file is a work in progress Recommended learning path is Level-1 > Level-2 > Level-3. ## Level-1 (Core) Here we discuss the core theory and concepts of AI/ML. ### Basics - [ai_essentials.md](Level-1/basics/ai_essentials.md) - [how_to_learn.md](Level-1/basics/how_to_learn.md) - [ieee_ethics.md](Level-1/basics/ieee_ethics.md) - [pandas_basics.md](Level-1/basics/pandas_basics.md) - [plots.md](Level-1/basics/plots.md) - [probability.md](Level-1/basics/probability.md) - [python_modules.md](Level-1/basics/python_modules.md) - [statistics.md](Level-1/basics/statistics.md) - [tensorflow.md](Level-1/basics/tensorflow.md) - [unit_test.md](Level-1/basics/unit_test.md) - [why_math.md](Level-1/basics/why_math.md) ### Applied Machine Learning Process - [applied_ml.md](process/applied_ml.md) ### Machine Learning - [audio.md](Level-1/ml/audio.md) - [bias_variance_1.md](Level-1/ml/bias_variance_1.md) - [bias_variance_2.md](Level-1/ml/bias_variance_2.md) - [common_mistakes.md](Level-1/ml/common_mistakes.md) - [confusion_matrix.md](Level-1/ml/confusion_matrix.md) - [cross_validation.md](Level-1/ml/cross_validation.md) - [data_prep.md](Level-1/ml/data_prep.md) - [data_prep_code.md](Level-1/ml/data_prep_code.md) - [data_science_primer.md](Level-1/ml/data_science_primer.md) - [dimensionality_reduction.md](Level-1/ml/dimensionality_reduction.md) - [discrete_prob_dist.md](Level-1/ml/discrete_prob_dist.md) - [eda.md](Level-1/ml/eda.md) - [feature_engineering.md](Level-1/ml/feature_engineering.md) - [ml_algorithms.md](Level-1/ml/ml_algorithms.md) - [ml_crash_course.md](Level-1/ml/ml_crash_course.md) - [performance_metrics.md](Level-1/ml/performance_metrics.md) - [regression.md](Level-1/ml/regression.md) - [sgd.md](Level-1/ml/sgd.md) - [train_test_split.md](Level-1/ml/train_test_split.md) ### Computer Vision - [cv.md](Level-1/cv/cv.md) - [cv_medicine.md](Level-1/cv/cv_medicine.md) - [image_augment.md](Level-1/cv/image_augment.md) ### Deep Learning - [cnn.md](Level-1/dl/cnn.md) - [dl.md](Level-1/dl/dl.md) - [gan.md](Level-1/dl/gan.md) - [lstm.md](Level-1/dl/lstm.md) - [lstm_articles.md](Level-1/dl/lstm_articles.md) - [neural_network.md](Level-1/dl/neural_network.md) - [optimizers.md](Level-1/dl/optimizers.md) ### Natural Language Processing - [nlp.md](Level-1/nlp/nlp.md) - [nlp_dataprep.md](Level-1/nlp/nlp_dataprep.md) - [nltk_book.pdf](Level-1/nlp/nltk_book.pdf) - [nlu.md](Level-1/nlp/nlu.md) - [nlu_classification.md](Level-1/nlp/nlu_classification.md) - [recommender.md](Level-1/nlp/recommender.md) ### Software Engineering - [concurrency.md](Level-1/swe/concurrency.md) - [distributed.md](Level-1/swe/distributed.md) - [gdb.md](Level-1/swe/gdb.md) - [github_student_pack.md](Level-1/swe/github_student_pack.md) - [mmm.md](Level-1/swe/mmm.md) - [nuxi.md](Level-1/swe/nuxi.md) - [peopleware.md](Level-1/swe/peopleware.md) - [sql.md](Level-1/swe/sql.md) ## Level-2 (Advanced) Here we discuss the more advanced theory and concepts of AI/ML. ### Machine Learning Advanced - [anomaly_detection.md](Level-2/ml/anomaly_detection.md) - [cython.md](Level-2/ml/cython.md) - [deploy.md](Level-2/ml/deploy.md) - [imbalanced_classification.md](Level-2/ml/imbalanced_classification.md) - [kedro.md](Level-2/ml/kedro.md) - [mlflow.md](Level-2/ml/mlflow.md) - [mlops.md](Level-2/ml/mlops.md) - [openml.md](Level-2/ml/openml.md) - [performance.md](Level-2/ml/performance.md) - [pipelines.md](Level-2/ml/pipelines.md) - [small_dataset.md](Level-2/ml/small_dataset.md) - [smote.md](Level-2/ml/smote.md) - [tuning.md](Level-2/ml/tuning.md) - [xai.md](Level-2/ml/xai.md) ### Software Engineering Advanced - [code_complete.md](Level-2/swe/code_complete.md) - [design_patterns.md](Level-2/swe/design_patterns.md) - [facts_fallacies.md](Level-2/swe/facts_fallacies.md) - [grpc.md](Level-2/swe/grpc.md) - [project_mgmt.md](Level-2/swe/project_mgmt.md) - [security.md](Level-2/swe/security.md) - [swe.md](Level-2/swe/swe.md) ### Time Series - [fft.md](Level-2/time_series/fft.md) - [time_series_analysis.md](Level-2/time_series/time_series_analysis.md) - [time_series_decomposition.md](Level-2/time_series/time_series_decomposition.md) - [time_series_forecast.md](Level-2/time_series/time_series_forecast.md) - [time_series_plots.md](Level-2/time_series/time_series_plots.md) - [time_series_pytorch.md](Level-2/time_series/time_series_pytorch.md) - [time_series_stationary.md](Level-2/time_series/time_series_stationary.md) - [time_series_tips.md](Level-2/time_series/time_series_tips.md) ### AI/ML Tips - [ai_project_ideas.md](Level-2/tips/ai_project_ideas.md) - [ai_resume.md](Level-2/tips/ai_resume.md) - [ai_tips.md](Level-2/tips/ai_tips.md) - [datasets.md](Level-2/tips/datasets.md) - [gan_tips.md](Level-2/tips/gan_tips.md) - [linux_tools.md](Level-2/tips/linux_tools.md) - [mac_tips.md](Level-2/tips/mac_tips.md) - [ml_tips.md](Level-2/tips/ml_tips.md) ### AI/ML Tools - [ai_tools.md](Level-2/tools/ai_tools.md) - [automl_tools.md](Level-2/tools/automl_tools.md) - [dev_tools.md](Level-2/tools/dev_tools.md) - [github.md](Level-2/tools/github.md) - [intel_aikit.md](Level-2/tools/intel_aikit.md) - [vs_debug.md](Level-2/tools/vs_debug.md) - [vscode.md](Level-2/tools/vscode.md) ### AI/ML Web Development Tools - [cometml.md](Level-2/web/cometml.md) - [dagshub.md](Level-2/web/dagshub.md) - [dvc.md](Level-2/web/dvc.md) - [fastapi.md](Level-2/web/fastapi.md) - [web.md](Level-2/web/web.md) - [web_tools.md](Level-2/web/web_tools.md) ## Level-3 (Expert) Here we discuss the more advanced topics of AI/ML. - [av_risks.md](Level-3/av_risks.md) - [cv_tips.md](Level-3/cv_tips.md) - [factor_analysis.md](Level-3/factor_analysis.md) - [nlp_llm.md](Level-3/nlp_llm.md) - [prompt_engineering.md](Level-3/prompt_engineering.md) - [rl.md](Level-3/rl.md) - [rl_lewisu.md](Level-3/rl_lewisu.md) - [robotics.md](Level-3/robotics.md) - [tinyml.md](Level-3/tinyml.md) Created using [aimanfatima/indexgen](https://github.com/aimanfatima/indexgen/tree/main/cli)