corpus.blog
41554 blogs · [ { "id": "01a0d870-bdd6-71c3-8d9f-afaa5e3faf0b", "title": "Building an Agentic Stock Picker with Anthropic", "url": "https://gigadom.in/2026/09/21/building-an-agentic-stock-picker-with-anthropic/", "published_at": "2026-09-21T06:48:58+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb668d2abd", "title": "Making an Aerobatics Flight Simulator with Opus 5", "url": "https://gigadom.in/2026/08/15/making-an-aerobatics-flight-simulator-with-opus-5/", "published_at": "2026-08-15T06:11:53+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb66f81050", "title": "Building a Flight Simulator with Claude Code, Opus 5", "url": "https://gigadom.in/2026/08/01/building-a-flight-simulator-with-claude-code-opus-5/", "published_at": "2026-08-01T04:44:03+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb676887a0", "title": "IPL 2026: When the dust settles …", "url": "https://gigadom.in/2026/06/06/ipl-2026-when-the-dust-settles/", "published_at": "2026-06-06T04:32:47+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb684da265", "title": "IPL AI Oracle 2026 is now live!!", "url": "https://gigadom.in/2026/04/04/ipl-ai-oracle-2026-is-now-live/", "published_at": "2026-04-04T15:15:47+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb693c4b91", "title": "Optimising T20 Match Win Probability with EPOCH", "url": "https://gigadom.in/2026/03/21/optimising-t20-match-win-probability-with-epoch/", "published_at": "2026-03-21T12:40:42+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb693df84d", "title": "Fine-tuning IPL AI Oracle to speak cricket fluently", "url": "https://gigadom.in/2026/02/07/fine-tuning-ipl-ai-oracle-to-speak-cricket-fluently/", "published_at": "2026-02-07T04:57:17+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb6a2fbdc5", "title": "When the Wave Remembered…", "url": "https://gigadom.in/2025/11/29/when-the-wave-remembered/", "published_at": "2025-11-29T13:13:41+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb6abb04d9", "title": "Introducing IPL AI Oracle: AI that speaks cricket!!!", "url": "https://gigadom.in/2025/11/15/introducing-ipl-ai-oracleai-that-speaks-cricket/", "published_at": "2025-11-15T04:53:03+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb6ad717fa", "title": "GenAI: The Science of Attention, Transformers", "url": "https://gigadom.in/2024/12/23/genai-the-science-of-attention-transformers/", "published_at": "2024-12-23T16:42:03+00:00" }, { "id": "01a0877c-ffcf-73a7-acf3-babb6af83fef", "title": "Optimal Deep Learning model selection using wandb.ai", "url": "https://gigadom.in/2023/10/04/optimal-deep-learning-model-selection-using-wandb-ai/", "published_at": "2023-10-04T14:59:09+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c614f48682", "title": "Identifying cricketing shots using AI", "url": "https://gigadom.in/2023/09/27/identifying-cricketing-shots-using-ai/", "published_at": "2023-09-27T11:55:46+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c6154ae6de", "title": "GenerativeAI:Using T5 Transformer model to summarise Indian Philosophy", "url": "https://gigadom.in/2023/09/22/generativeaiusing-t5-transformer-model-to-summarise-indian-philosophy/", "published_at": "2023-09-22T05:00:38+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c615f66481", "title": "Computing IPL player similarity using Embeddings, Deep Learning", "url": "https://gigadom.in/2023/08/14/computing-ipl-player-similarity-using-embeddings-deep-learning/", "published_at": "2023-08-14T11:19:48+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c6161a6527", "title": "Cricketr analyzes Ind-Aus faceoff in WTC 2023!!", "url": "https://gigadom.in/2023/06/05/cricketr-analyzes-ind-aus-faceoff-in-wtc-2023/", "published_at": "2023-06-05T06:09:30+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c616fad870", "title": "IPL 2023:GooglyPlusPlus now with by AI/ML models, near real-time analytics!", "url": "https://gigadom.in/2023/04/08/ipl-2023googlyplusplus-now-with-by-ai-ml-models-near-real-time-analytics/", "published_at": "2023-04-08T13:13:33+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c617396be4", "title": "GooglyPlusPlus: Computing T20 player’s Win Probability Contribution", "url": "https://gigadom.in/2023/03/18/googlyplusplus-computing-t20-players-win-probability-contribution/", "published_at": "2023-03-18T12:18:02+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c61800d576", "title": "T20 Win Probability using CTGANs, synthetic data", "url": "https://gigadom.in/2023/03/03/t20-win-probability-using-ctgans-synthetic-data/", "published_at": "2023-03-03T13:26:32+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c6188969ee", "title": "GooglyPlusPlus: Win Probability using Deep Learning and player embeddings", "url": "https://gigadom.in/2023/01/28/googlyplusplus-win-probability-using-deep-learning-and-player-embeddings/", "published_at": "2023-01-28T09:16:08+00:00" }, { "id": "01a0c50f-38b0-7137-8247-64c61898f6ef", "title": "GooglyPlusPlus now with Win Probability Analysis for all T20 matches", "url": "https://gigadom.in/2023/01/09/googlyplusplus-now-with-win-probability-analysis-for-all-t20-matches/", "published_at": "2023-01-09T14:35:29+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d1661ff7", "title": "Boosting Win Probability accuracy with player embeddings", "url": "https://gigadom.in/2023/01/03/boosting-win-probability-accuracy-with-player-embeddings/", "published_at": "2023-01-03T15:16:41+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d21d75b2", "title": "Computing Win-Probability of T20 matches", "url": "https://gigadom.in/2022/12/24/computing-win-probability-of-t20-matches/", "published_at": "2022-12-24T14:05:03+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d2bc475e", "title": "Using embeddings, collaborative filtering with Deep Learning to analyse T20 players", "url": "https://gigadom.in/2022/12/11/using-embeddings-collaborative-filtering-with-deep-learning-to-analyse-t20-players/", "published_at": "2022-12-11T06:04:53+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d316db1d", "title": "Near Real-time Analytics of ICC Men’s T20 World Cup with GooglyPlusPlus", "url": "https://gigadom.in/2022/10/21/near-real-time-analytics-of-icc-mens-t20-world-cup-with-googlyplusplus/", "published_at": "2022-10-21T13:14:10+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d3da8170", "title": "GooglyPlusPlus gets ready for ICC Men’s T20 World Cup", "url": "https://gigadom.in/2022/10/05/googlyplusplus-gets-ready-for-icc-mens-t20-world-cup/", "published_at": "2022-10-05T14:56:32+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d4be6f7a", "title": "Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlus", "url": "https://gigadom.in/2022/06/12/then-nowipl-2022-beyond-insights-from-googlyplusplus/", "published_at": "2022-06-12T07:38:01+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d5336a05", "title": "Player Performance Estimation using AI Collaborative Filtering", "url": "https://gigadom.in/2022/05/15/player-performance-estimation-using-ai-collaborative-filtering/", "published_at": "2022-05-15T14:12:48+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d5dc6399", "title": "IPL 2022: Near real-time analytics with GooglyPlusPlus!!!", "url": "https://gigadom.in/2022/04/03/ipl-2022-near-real-time-analytics-with-googlyplusplus/", "published_at": "2022-04-03T06:37:34+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d6c3f73d", "title": "GooglyPlusPlus2022 optimizes batting/bowling lineup", "url": "https://gigadom.in/2022/02/06/googlyplusplus2022-optimizes-batting-bowling-lineup/", "published_at": "2022-02-06T09:55:19+00:00" }, { "id": "01a0c51d-97e3-7012-a6ab-1bc1d756e904", "title": "More player analysis with gganimate()", "url": "https://gigadom.in/2021/12/30/more-player-analysis-with-gganimate/", "published_at": "2021-12-30T14:11:43+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-57571f53e60d", "title": "Analyzing player performance with animated charts!", "url": "https://gigadom.in/2021/12/23/analyzing-player-performance-with-animated-charts/", "published_at": "2021-12-23T10:57:29+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-5757204817a5", "title": "GooglyPlusPlus2021: Towards more picturesque analytics!", "url": "https://gigadom.in/2021/12/14/googlyplusplus2021-towards-more-picturesque-analytics/", "published_at": "2021-12-14T14:27:11+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575720ab9ef3", "title": "GooglyPlusPlus2021 now with power play, middle and death over analysis", "url": "https://gigadom.in/2021/11/07/googlyplusplus2021-now-with-power-play-middle-and-death-over-analysis/", "published_at": "2021-11-07T16:49:50+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575720d63502", "title": "GooglyPlusPlus2021:ICC WC T20:Pavilion-view analytics as-it-happens!", "url": "https://gigadom.in/2021/10/18/googlyplusplus2021icc-wc-t20pavilion-view-analytics-as-it-happens/", "published_at": "2021-10-18T17:59:44+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575720fb996f", "title": "GooglyPlusPlus2021 enhanced with drill-down batsman, bowler analytics", "url": "https://gigadom.in/2021/10/11/googlyplusplus2021-enhanced-with-drill-down-batsman-bowler-analytics/", "published_at": "2021-10-11T13:05:45+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575721c83242", "title": "GooglyPlusPlus2021: Restarting IPL 2021 as-it-happens!!!", "url": "https://gigadom.in/2021/09/21/googlyplusplus2021-restarting-ipl-2021-as-it-happens/", "published_at": "2021-09-21T10:41:56+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-57572264b52e", "title": "GooglyPlusPlus2021 adds new bells and whistles!!", "url": "https://gigadom.in/2021/07/11/googlyplusplus2021-adds-new-bells-and-whistles/", "published_at": "2021-07-11T13:17:17+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-57572291fc20", "title": "GooglyPlusPlus2021 is now fully interactive!!!", "url": "https://gigadom.in/2021/05/29/googlyplusplus2021-is-now-fully-interactive/", "published_at": "2021-05-29T03:43:12+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575722d90331", "title": "GooglyPlusPlus2021 bubbles up top T20 players in all formats!", "url": "https://gigadom.in/2021/02/07/googlyplusplus2021-bubbles-up-top-t20-players-in-all-formats/", "published_at": "2021-02-07T05:55:19+00:00" }, { "id": "01a0c528-b536-73f0-bcbb-575722f3432b", "title": "GooglyPlusPlus2021 interactively ranks T20 batsmen and bowlers!!!", "url": "https://gigadom.in/2021/01/12/googlyplusplus2021-interactively-ranks-t20-batsmen-and-bowlers/", "published_at": "2021-01-12T12:55:26+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a99fc83d0f", "title": "GooglyPlusPlus 2020!!", "url": "https://gigadom.in/2020/12/22/googlyplusplus-2020/", "published_at": "2020-12-22T15:45:16+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a07769f7", "title": "Rank IPL batsmen and bowlers post IPL 2020", "url": "https://gigadom.in/2020/12/10/rank-ipl-batsmen-and-bowlers-post-ipl-2020/", "published_at": "2020-12-10T13:21:04+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a096f27a", "title": "Benford’s law meets IPL, Intl. T20 and ODI cricket", "url": "https://gigadom.in/2020/10/15/benfords-law-meets-ipl-intl-t20-and-odi-cricket/", "published_at": "2020-10-15T13:28:12+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a0e9b97d", "title": "Introducing GooglyPlusPlus!!!", "url": "https://gigadom.in/2020/06/28/introducing-googlyplusplus/", "published_at": "2020-06-28T07:26:10+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a11b0d68", "title": "Big Data 7: yorkr waltzes with Apache NiFi", "url": "https://gigadom.in/2020/05/23/big-data-7-yorkr-waltzes-with-apache-nifi/", "published_at": "2020-05-23T04:22:53+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a20b957d", "title": "It’s a wrap! yorkr wraps up BBL, NTB, PSL and WBB!!!", "url": "https://gigadom.in/2020/05/16/its-a-wrap-yorkr-wraps-up-bbl-ntb-psl-and-wbb/", "published_at": "2020-05-16T06:49:25+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a2905131", "title": "yorkr rocks women’s One Day International (ODI) and International T20!!", "url": "https://gigadom.in/2020/05/09/yorkr-rocks-womens-one-day-international-odi-and-international-t20/", "published_at": "2020-05-09T07:17:43+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a2ebeaed", "title": "Revitalizing R package yorkr", "url": "https://gigadom.in/2020/05/03/revitalizing-r-package-yorkr/", "published_at": "2020-05-03T11:42:47+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a379f944", "title": "Deconstructing Convolutional Neural Networks with Tensorflow and Keras", "url": "https://gigadom.in/2020/04/18/deconstructing-convolutional-neural-networks-with-tensorflow-and-keras/", "published_at": "2020-04-18T12:44:20+00:00" }, { "id": "01a0c533-d91c-73c6-8ac7-35a9a3a7a718", "title": "Understanding Neural Style Transfer with Tensorflow and Keras", "url": "https://gigadom.in/2020/04/11/understanding-neural-style-transfer-with-tensorflow-and-keras/", "published_at": "2020-04-11T15:58:20+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313b2aedbc", "title": "The mechanics of Convolutional Neural Networks in Tensorflow and Keras", "url": "https://gigadom.in/2020/04/04/the-mechanics-of-convolutional-neural-networks-in-tensorflow-and-keras/", "published_at": "2020-04-04T11:20:35+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313b2ef6db", "title": "Big Data 6: The T20 Dance of Apache NiFi and yorkpy", "url": "https://gigadom.in/2020/03/20/big-data-6-the-t20-dance-of-apache-nifi-and-yorkpy/", "published_at": "2020-03-20T16:03:12+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313b5b57d4", "title": "Big Data-5: kNiFi-ing through cricket data with yorkpy", "url": "https://gigadom.in/2020/03/06/big-data-5-knifi-ing-through-cricket-data-with-yorkpy/", "published_at": "2020-03-06T15:58:49+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313b6c9145", "title": "Ranking T20 players in Intl T20, IPL, BBL and Natwest using yorkpy", "url": "https://gigadom.in/2020/02/29/ranking-t20-players-in-intl-t20-ipl-bbl-and-natwest-using-yorkpy/", "published_at": "2020-02-29T07:45:30+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313bdefe66", "title": "Using Reinforcement Learning to solve Gridworld", "url": "https://gigadom.in/2019/09/02/using-reinforcement-learning-to-solve-gridworld/", "published_at": "2019-09-02T14:53:58+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313bfe3db1", "title": "Cricpy performs granular analysis of players", "url": "https://gigadom.in/2019/08/29/cricpy-performs-granular-analysis-of-players/", "published_at": "2019-08-29T10:29:13+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313c023069", "title": "Getting started with Tensorflow, Keras in Python and R", "url": "https://gigadom.in/2019/07/31/getting-started-with-tensorflow-keras-in-python-and-r/", "published_at": "2019-07-31T14:19:37+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313cb3f3e6", "title": "Updated:Analyzing performance of cricketers and cricket teams with cricketr templates", "url": "https://gigadom.in/2019/07/27/updatedanalyzing-performance-of-cricketers-and-cricket-teams-with-cricketr-templates/", "published_at": "2019-07-27T06:03:45+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313d8eddd9", "title": "Cricketr learns new tricks : Performs fine-grained analysis of players", "url": "https://gigadom.in/2019/07/12/cricketr-learns-new-tricks-performs-fine-grained-analysis-of-players/", "published_at": "2019-07-12T11:38:10+00:00" }, { "id": "01a0c53e-479a-73f3-a90d-ff313e5b0b5c", "title": "Analyze cricket players and cricket teams with cricpy template", "url": "https://gigadom.in/2019/06/30/analyze-cricket-players-and-cricket-teams-with-cricpy-template/", "published_at": "2019-06-30T05:26:44+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e70a92a2c", "title": "Analyzing cricketers’ and cricket team’s performances with cricketr template", "url": "https://gigadom.in/2019/06/24/analyzing-cricketers-and-cricket-teams-performances-with-cricketr-template/", "published_at": "2019-06-24T13:21:58+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e70d74968", "title": "Cricpy adds team analytics to its arsenal!!", "url": "https://gigadom.in/2019/06/21/cricpy-adds-team-analytics-to-its-repertoire/", "published_at": "2019-06-21T13:16:45+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e719b9875", "title": "Cricketr adds team analytics to its repertoire!!!", "url": "https://gigadom.in/2019/06/10/cricketr-adds-team-analytics-to-its-repertoire/", "published_at": "2019-06-10T16:14:36+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e721bef95", "title": "Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR", "url": "https://gigadom.in/2019/05/11/big-data-4-webserver-log-analysis-with-rdds-pyspark-sparkr-and-sparklyr/", "published_at": "2019-05-11T15:06:14+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e72ea4000", "title": "My book ‘Cricket analytics with cricketr and cricpy’ is now on Amazon", "url": "https://gigadom.in/2019/04/29/my-book-cricket-analytics-with-cricketr-and-cricpy-is-now-on-amazon/", "published_at": "2019-04-29T12:07:11+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e73ca9e04", "title": "Revisiting World Bank data analysis with WDI and gVisMotionChart", "url": "https://gigadom.in/2019/04/14/revisiting-world-bank-data-analysis-with-wdi-and-gvismotionchart/", "published_at": "2019-04-14T10:25:07+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e7491da74", "title": "Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3", "url": "https://gigadom.in/2019/04/12/big-data-on-rdds-dataframeshive-ql-with-pyspark-and-sparkr-part-3/", "published_at": "2019-04-12T16:21:00+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e751e4704", "title": "Analyzing performances of cricketers using cricketr template", "url": "https://gigadom.in/2019/03/30/analyzing-performances-of-cricketers-using-cricketr-template/", "published_at": "2019-03-30T10:50:28+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e757d0245", "title": "The Clash of the Titans in Test and ODI cricket", "url": "https://gigadom.in/2019/03/15/the-clash-of-the-titans-in-test-and-odi-cricket/", "published_at": "2019-03-15T14:37:52+00:00" }, { "id": "01a0c546-cbcf-72c1-829c-742e757ff74d", "title": "Analyzing T20 matches with yorkpy templates", "url": "https://gigadom.in/2019/03/10/analyzing-t20-matches-with-yorkpy-templates/", "published_at": "2019-03-10T10:28:58+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd0563ea134e", "title": "yorkpy takes a hat-trick, bowls out Intl. T20s, BBL and Natwest T20!!!", "url": "https://gigadom.in/2019/03/03/yorkpy-takes-a-hat-trick-bowls-out-intl-t20s-bbl-and-natwest-t20/", "published_at": "2019-03-03T11:13:04+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd0564aa0aae", "title": "Pitching yorkpy … in the block hole – Part 4", "url": "https://gigadom.in/2019/02/26/pitching-yorkpy-in-the-block-hole-part-4/", "published_at": "2019-02-26T16:23:16+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd05656351ef", "title": "Take 4+: Presentations on ‘Elements of Neural Networks and Deep Learning’ – Parts 1-8", "url": "https://gigadom.in/2019/02/16/take-4-presentations-on-elements-of-neural-networks-and-deep-learning-parts-1-8/", "published_at": "2019-02-16T07:20:15+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd05657a0384", "title": "Pitching yorkpy…swinging away from the leg stump to IPL – Part 3", "url": "https://gigadom.in/2019/02/03/pitching-yorkpyswinging-away-from-the-leg-stump-to-ipl-part-3/", "published_at": "2019-02-03T02:40:15+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd05665f1bee", "title": "Pitching yorkpy…on the middle and outside off-stump to IPL – Part 2", "url": "https://gigadom.in/2019/01/27/pitching-yorkpyon-the-middle-and-outside-off-stump-to-ipl-part-2/", "published_at": "2019-01-27T06:26:49+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd056680e76e", "title": "My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 6,7,8", "url": "https://gigadom.in/2019/01/20/my-presentations-on-elements-of-neural-networks-deep-learning-parts-678/", "published_at": "2019-01-20T11:21:51+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd0567337c32", "title": "My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 4,5", "url": "https://gigadom.in/2019/01/15/my-presentations-on-elements-of-neural-networks-deep-learning-parts-45/", "published_at": "2019-01-15T03:32:42+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd05679b7c02", "title": "My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3", "url": "https://gigadom.in/2019/01/10/my-presentations-on-elements-of-neural-networks-deep-learning-part123/", "published_at": "2019-01-10T01:08:11+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd05685a36ca", "title": "My book ‘Practical Machine Learning in R and Python: Third edition’ on Amazon", "url": "https://gigadom.in/2019/01/02/my-book-practical-machine-learning-in-r-and-python-third-edition-on-amazon/", "published_at": "2019-01-02T12:58:37+00:00" }, { "id": "01a0c54f-9c90-739a-aa84-fd0568e652b7", "title": "Pitching yorkpy … short of good length to IPL – Part 1", "url": "https://gigadom.in/2018/12/28/pitching-yorkpy-short-of-good-length-to-ipl-part-1/", "published_at": "2018-12-28T04:24:51+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57a41fa02", "title": "Analyzing batsmen and bowlers with cricpy template", "url": "https://gigadom.in/2018/12/16/analyzing-batsmen-and-bowlers-with-cricpy-template/", "published_at": "2018-12-16T05:47:16+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57aa00de6", "title": "My book ‘Deep Learning from first principles:Second Edition’ now on Amazon", "url": "https://gigadom.in/2018/12/14/my-book-deep-learning-from-first-principlessecond-edition-now-on-amazon/", "published_at": "2018-12-14T01:02:25+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57b2e175d", "title": "Cricpy takes guard for the Twenty20s", "url": "https://gigadom.in/2018/12/08/cricpy-takes-guard-for-the-twenty20s/", "published_at": "2018-12-08T06:06:44+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57b4e0e20", "title": "Cricpy takes a swing at the ODIs", "url": "https://gigadom.in/2018/11/11/cricpy-takes-a-swing-at-the-odis/", "published_at": "2018-11-11T05:13:16+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57bd401fd", "title": "Introducing cricpy:A python package to analyze performances of cricketers", "url": "https://gigadom.in/2018/10/28/introducing-cricpya-python-package-to-analyze-performances-of-cricketrs/", "published_at": "2018-10-28T06:32:41+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57c098b4c", "title": "Big Data-2: Move into the big league:Graduate from R to SparkR", "url": "https://gigadom.in/2018/10/09/big-data-2-move-into-the-big-leaguegraduate-from-r-to-sparkr/", "published_at": "2018-10-09T14:40:00+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57c725914", "title": "Big Data-1: Move into the big league:Graduate from Python to Pyspark", "url": "https://gigadom.in/2018/10/08/big-data-1-move-into-the-big-leaguegraduate-from-python-to-pyspark/", "published_at": "2018-10-08T13:46:52+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57cc18863", "title": "My book ‘Practical Machine Learning in R and Python: Second edition’ on Amazon", "url": "https://gigadom.in/2018/06/01/my-book-practical-machine-learning-in-r-and-python-second-edition-on-amazon/", "published_at": "2018-06-01T08:19:20+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57d2173f6", "title": "My book “Deep Learning from first principles” now on Amazon", "url": "https://gigadom.in/2018/05/17/my-book-deep-learning-from-first-principles-now-on-amazon/", "published_at": "2018-05-17T14:24:26+00:00" }, { "id": "01a0c557-e241-7310-af3d-aab57d9ac74e", "title": "Deep Learning from first principles in Python, R and Octave – Part 8", "url": "https://gigadom.in/2018/05/06/deep-learning-from-first-principles-in-python-r-and-octave-part-8/", "published_at": "2018-05-06T03:28:07+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86aa83fbb", "title": "Deep Learning from first principles in Python, R and Octave – Part 7", "url": "https://gigadom.in/2018/04/29/deep-learning-from-first-principles-in-python-r-and-octave-part-7/", "published_at": "2018-04-29T12:55:02+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86b9cd2d8", "title": "Deep Learning from first principles in Python, R and Octave – Part 6", "url": "https://gigadom.in/2018/04/16/deep-learning-from-first-principles-in-python-r-and-octave-part-6/", "published_at": "2018-04-16T14:17:48+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86bd4af58", "title": "Deep Learning from first principles in Python, R and Octave – Part 5", "url": "https://gigadom.in/2018/03/23/deep-learning-from-first-principles-in-python-r-and-octave-part-5/", "published_at": "2018-03-23T11:31:07+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86c8d70d7", "title": "Presentation on ‘Machine Learning in plain English – Part 3", "url": "https://gigadom.in/2018/03/09/presentation-on-machine-learning-in-plain-english-part-3/", "published_at": "2018-03-09T12:05:24+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86d45a738", "title": "Presentation on ‘Machine Learning in plain English – Part 2’", "url": "https://gigadom.in/2018/03/08/presentation-on-machine-learning-in-plain-english-part-2/", "published_at": "2018-03-08T10:08:07+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86ddb98be", "title": "Presentation on ‘Machine Learning in plain English – Part 1’", "url": "https://gigadom.in/2018/03/06/presentation-on-machine-learning-in-plain-english-part-1/", "published_at": "2018-03-06T11:05:54+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86e0ad65c", "title": "Deep Learning from first principles in Python, R and Octave – Part 4", "url": "https://gigadom.in/2018/02/26/deep-learning-from-first-principles-in-python-r-and-octave-part-4/", "published_at": "2018-02-26T17:12:48+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86eb347e9", "title": "Deep Learning from first principles in Python, R and Octave – Part 3", "url": "https://gigadom.in/2018/01/30/deep-learning-from-first-principles-in-python-r-and-octave-part-3/", "published_at": "2018-01-30T16:09:51+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86ecb4c77", "title": "Deep Learning from first principles in Python, R and Octave – Part 2", "url": "https://gigadom.in/2018/01/11/deep-learning-from-first-principles-in-python-r-and-octave-part-2/", "published_at": "2018-01-11T14:45:44+00:00" }, { "id": "01a0c560-46f7-72a9-a84d-2fa86eea2deb", "title": "Deep Learning from first principles in Python, R and Octave – Part 1", "url": "https://gigadom.in/2018/01/04/deep-learning-from-basic-principles-in-python-r-and-octave-part-1/", "published_at": "2018-01-04T12:42:55+00:00" } ] posts Claim your blog
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2026

Building an Agentic Stock Picker with Anthropicoriginal ↗
21 Sept 2026
Making an Aerobatics Flight Simulator with Opus 5original ↗
15 Aug 2026
Building a Flight Simulator with Claude Code, Opus 5original ↗
1 Aug 2026
IPL 2026: When the dust settles …original ↗
6 Jun 2026
IPL AI Oracle 2026 is now live!!original ↗
4 Apr 2026
Optimising T20 Match Win Probability with EPOCHoriginal ↗
21 Mar 2026
Fine-tuning IPL AI Oracle to speak cricket fluentlyoriginal ↗
7 Feb 2026

2025

When the Wave Remembered…original ↗
29 Nov 2025
Introducing IPL AI Oracle: AI that speaks cricket!!!original ↗
15 Nov 2025

2024

GenAI: The Science of Attention, Transformersoriginal ↗
23 Dec 2024

2023

Optimal Deep Learning model selection using wandb.aioriginal ↗
4 Oct 2023
Identifying cricketing shots using AIoriginal ↗
27 Sept 2023
GenerativeAI:Using T5 Transformer model to summarise Indian Philosophyoriginal ↗
22 Sept 2023
Computing IPL player similarity using Embeddings, Deep Learningoriginal ↗
14 Aug 2023
Cricketr analyzes Ind-Aus faceoff in WTC 2023!!original ↗
5 Jun 2023
IPL 2023:GooglyPlusPlus now with by AI/ML models, near real-time analytics!original ↗
8 Apr 2023
GooglyPlusPlus: Computing T20 player’s Win Probability Contributionoriginal ↗
18 Mar 2023
T20 Win Probability using CTGANs, synthetic dataoriginal ↗
3 Mar 2023
GooglyPlusPlus: Win Probability using Deep Learning and player embeddingsoriginal ↗
28 Jan 2023
GooglyPlusPlus now with Win Probability Analysis for all T20 matchesoriginal ↗
9 Jan 2023
Boosting Win Probability accuracy with player embeddingsoriginal ↗
3 Jan 2023

2022

Computing Win-Probability of T20 matchesoriginal ↗
24 Dec 2022
Using embeddings, collaborative filtering with Deep Learning to analyse T20 playersoriginal ↗
11 Dec 2022
Near Real-time Analytics of ICC Men’s T20 World Cup with GooglyPlusPlusoriginal ↗
21 Oct 2022
GooglyPlusPlus gets ready for ICC Men’s T20 World Cuporiginal ↗
5 Oct 2022
Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlusoriginal ↗
12 Jun 2022
Player Performance Estimation using AI Collaborative Filteringoriginal ↗
15 May 2022
IPL 2022: Near real-time analytics with GooglyPlusPlus!!!original ↗
3 Apr 2022
GooglyPlusPlus2022 optimizes batting/bowling lineuporiginal ↗
6 Feb 2022

2021

More player analysis with gganimate()original ↗
30 Dec 2021
Analyzing player performance with animated charts!original ↗
23 Dec 2021
GooglyPlusPlus2021: Towards more picturesque analytics!original ↗
14 Dec 2021
GooglyPlusPlus2021 now with power play, middle and death over analysisoriginal ↗
7 Nov 2021
GooglyPlusPlus2021:ICC WC T20:Pavilion-view analytics as-it-happens!original ↗
18 Oct 2021
GooglyPlusPlus2021 enhanced with drill-down batsman, bowler analyticsoriginal ↗
11 Oct 2021
GooglyPlusPlus2021: Restarting IPL 2021 as-it-happens!!!original ↗
21 Sept 2021
GooglyPlusPlus2021 adds new bells and whistles!!original ↗
11 Jul 2021
GooglyPlusPlus2021 is now fully interactive!!!original ↗
29 May 2021
GooglyPlusPlus2021 bubbles up top T20 players in all formats!original ↗
7 Feb 2021
GooglyPlusPlus2021 interactively ranks T20 batsmen and bowlers!!!original ↗
12 Jan 2021

2020

GooglyPlusPlus 2020!!original ↗
22 Dec 2020
Rank IPL batsmen and bowlers post IPL 2020original ↗
10 Dec 2020
Benford’s law meets IPL, Intl. T20 and ODI cricketoriginal ↗
15 Oct 2020
Introducing GooglyPlusPlus!!!original ↗
28 Jun 2020
Big Data 7: yorkr waltzes with Apache NiFioriginal ↗
23 May 2020
It’s a wrap! yorkr wraps up BBL, NTB, PSL and WBB!!!original ↗
16 May 2020
yorkr rocks women’s One Day International (ODI) and International T20!!original ↗
9 May 2020
Revitalizing R package yorkroriginal ↗
3 May 2020
Deconstructing Convolutional Neural Networks with Tensorflow and Kerasoriginal ↗
18 Apr 2020
Understanding Neural Style Transfer with Tensorflow and Kerasoriginal ↗
11 Apr 2020
The mechanics of Convolutional Neural Networks in Tensorflow and Kerasoriginal ↗
4 Apr 2020
Big Data 6: The T20 Dance of Apache NiFi and yorkpyoriginal ↗
20 Mar 2020
Big Data-5: kNiFi-ing through cricket data with yorkpyoriginal ↗
6 Mar 2020
Ranking T20 players in Intl T20, IPL, BBL and Natwest using yorkpyoriginal ↗
29 Feb 2020

2019

Using Reinforcement Learning to solve Gridworldoriginal ↗
2 Sept 2019
Cricpy performs granular analysis of playersoriginal ↗
29 Aug 2019
Getting started with Tensorflow, Keras in Python and Roriginal ↗
31 Jul 2019
Updated:Analyzing performance of cricketers and cricket teams with cricketr templatesoriginal ↗
27 Jul 2019
Cricketr learns new tricks : Performs fine-grained analysis of playersoriginal ↗
12 Jul 2019
Analyze cricket players and cricket teams with cricpy templateoriginal ↗
30 Jun 2019
Analyzing cricketers’ and cricket team’s performances with cricketr templateoriginal ↗
24 Jun 2019
Cricpy adds team analytics to its arsenal!!original ↗
21 Jun 2019
Cricketr adds team analytics to its repertoire!!!original ↗
10 Jun 2019
Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyRoriginal ↗
11 May 2019
My book ‘Cricket analytics with cricketr and cricpy’ is now on Amazonoriginal ↗
29 Apr 2019
Revisiting World Bank data analysis with WDI and gVisMotionChartoriginal ↗
14 Apr 2019
Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3original ↗
12 Apr 2019
Analyzing performances of cricketers using cricketr templateoriginal ↗
30 Mar 2019
The Clash of the Titans in Test and ODI cricketoriginal ↗
15 Mar 2019
Analyzing T20 matches with yorkpy templatesoriginal ↗
10 Mar 2019
yorkpy takes a hat-trick, bowls out Intl. T20s, BBL and Natwest T20!!!original ↗
3 Mar 2019
Pitching yorkpy … in the block hole – Part 4original ↗
26 Feb 2019
Take 4+: Presentations on ‘Elements of Neural Networks and Deep Learning’ – Parts 1-8original ↗
16 Feb 2019
Pitching yorkpy…swinging away from the leg stump to IPL – Part 3original ↗
3 Feb 2019
Pitching yorkpy…on the middle and outside off-stump to IPL – Part 2original ↗
27 Jan 2019
My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 6,7,8original ↗
20 Jan 2019
My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 4,5original ↗
15 Jan 2019
My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3original ↗
10 Jan 2019
My book ‘Practical Machine Learning in R and Python: Third edition’ on Amazonoriginal ↗
2 Jan 2019

2018

Pitching yorkpy … short of good length to IPL – Part 1original ↗
28 Dec 2018
Analyzing batsmen and bowlers with cricpy templateoriginal ↗
16 Dec 2018
My book ‘Deep Learning from first principles:Second Edition’ now on Amazonoriginal ↗
14 Dec 2018
Cricpy takes guard for the Twenty20soriginal ↗
8 Dec 2018
Cricpy takes a swing at the ODIsoriginal ↗
11 Nov 2018
Introducing cricpy:A python package to analyze performances of cricketersoriginal ↗
28 Oct 2018
Big Data-2: Move into the big league:Graduate from R to SparkRoriginal ↗
9 Oct 2018
Big Data-1: Move into the big league:Graduate from Python to Pysparkoriginal ↗
8 Oct 2018
My book ‘Practical Machine Learning in R and Python: Second edition’ on Amazonoriginal ↗
1 Jun 2018
My book “Deep Learning from first principles” now on Amazonoriginal ↗
17 May 2018
Deep Learning from first principles in Python, R and Octave – Part 8original ↗
6 May 2018
Deep Learning from first principles in Python, R and Octave – Part 7original ↗
29 Apr 2018
Deep Learning from first principles in Python, R and Octave – Part 6original ↗
16 Apr 2018
Deep Learning from first principles in Python, R and Octave – Part 5original ↗
23 Mar 2018
Presentation on ‘Machine Learning in plain English – Part 3original ↗
9 Mar 2018
Presentation on ‘Machine Learning in plain English – Part 2’original ↗
8 Mar 2018
Presentation on ‘Machine Learning in plain English – Part 1’original ↗
6 Mar 2018
Deep Learning from first principles in Python, R and Octave – Part 4original ↗
26 Feb 2018
Deep Learning from first principles in Python, R and Octave – Part 3original ↗
30 Jan 2018
Deep Learning from first principles in Python, R and Octave – Part 2original ↗
11 Jan 2018
Deep Learning from first principles in Python, R and Octave – Part 1original ↗
4 Jan 2018
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