Hacker News
- Gemma for AI Solutions with Fine-Tuning and Multi-Model Collaboration https://www.kaggle.com/code/jaguar00/gemma-fine-tuning-and-multi-model-collaboration 2 comments
- Kaggle: Restaurant Revenue Prediction has a submission with zero error http://www.kaggle.com/c/restaurant-revenue-prediction/leaderboard 2 comments
- Getting Error in machine translation task: shape '[12672]' is invalid for input of size 12800 https://www.kaggle.com/code/apibrains/machine-translation 0 comments learnmachinelearning
- Focal Loss for Catboost https://www.kaggle.com/code/asimandia/catboots-1-2-and-native-custom-loss 3 comments learnmachinelearning
- Ovetfitting Issues in CNN face recognition system https://www.kaggle.com/datasets/hereisburak/pins-face-recognition 0 comments learnmachinelearning
- [OC] Used every second of data from the first 9 weeks of the 2022 season to create a model that can predict a player's tackle probability throughout a play https://www.kaggle.com/code/seanmgard/gridiron-tackle-superiority-gts 5 comments nfl
- Weird winning odds in TTs if rating difference <50-100 points https://www.kaggle.com/code/stassl/titled-tuesday-eda 21 comments chess
- Comprehensive NBA Basketball SQLite Database on Kaggle Now Updated — Across 16 tables, includes 30 teams, 4800+ players, 60,000+ games (every game since the inaugural 1946-47 NBA season), Box Scores for over 95% of all games, 13M+ rows of Play-by-Play data, and CSV Table Dumps — Updates Daily 👍 https://www.kaggle.com/datasets/wyattowalsh/basketball 12 comments datasets
- Hey developers! We've launched a Kaggle competition for finding accurate coordinates from text alone 🌎📍 https://www.kaggle.com/competitions/text-based-geolocation/ 2 comments languagetechnology
- [Request] Sales data: category, city, time of purchase https://www.kaggle.com/ 2 comments datasets
- How to backpropagate over layers that have differing numbers of nodes? https://www.kaggle.com/code/zanebaylon/first-ai 17 comments learnmachinelearning
- Help tuning an Inception V3 model for a multi-class problem [Pytorch] https://www.kaggle.com/code/gabrielloye/dogs-inception-pytorch-implementation/notebook 5 comments learnmachinelearning
- Amogus Analysis in Reddit's /r/Place https://www.kaggle.com/code/pavellexyr/amogus-analysis-in-reddit-s-r-place/notebook 3 comments datascience
- Word2Vec ❤️ t-SNE https://www.kaggle.com/code/aneridalwadi/nlp-word2vec-t-sne/ 11 comments languagetechnology
- [N] American Express Default Prediction ML Competition https://www.kaggle.com/competitions/amex-default-prediction/overview 10 comments machinelearning
- UPI transactional data in terms of value from April'21 to Jan'22 https://www.kaggle.com/rahulharinath/eda-of-upi-transactions 9 comments india
- [P] - Tutorial: Time-Series Transformer + Time2Vec https://www.kaggle.com/yamqwe/tutorial-time-series-transformer-time2vec 3 comments machinelearning
- SQL Query Help Needed https://www.kaggle.com/hugomathien/soccer 6 comments sql
- Remove outlier using latidute and longitude data https://www.kaggle.com/alexgude/california-traffic-collision-data-from-switrs 3 comments learnmachinelearning
- Handling large datasets using pandas if you have memory constraint. https://www.kaggle.com/c/avazu-ctr-prediction/overview 6 comments learnmachinelearning
- New NBA dataset on Kaggle! - Every game 60,000+ (1946-2021) w/ box scores, line scores, series info, and more - every player 4500+ w/ draft data, career stats, biometrics, and more - and every team (30 w/ franchise histories, coaches/staffing, and more). Updated daily, with plans for expansion! https://www.kaggle.com/wyattowalsh/basketball 18 comments nba
- [Q] Getting NA for Median When Using Kaplan Meier Model in R https://www.kaggle.com/yukikitayama/survival-analysis?select=echocardiogram.csv 4 comments rstats
- Using Deep Learning to detect hand-written Devnagari Characters. Feedbacks are highly appreciated :). https://www.kaggle.com/suyogdahal/devnagari-character-recognition-with-convolutions 3 comments programming
- A Kaggle challenge offers 20K USD to build an AI that acquires skills more efficiently than deep learning. https://www.kaggle.com/c/abstraction-and-reasoning-challenge/overview 12 comments artificial
- Best Practices for Picking a Machine Learning Model https://www.kaggle.com/lavanyashukla01/picking-the-best-model-a-whirlwind-tour-of-model 9 comments learnmachinelearning
- Keras conv2d, input shape for intermediate layers same as for input layer? https://www.kaggle.com/shahules/getting-started-with-cnn-and-vgg16/notebook 5 comments learnmachinelearning
- Model to predict depression symptoms using twitter https://www.kaggle.com/kazanova/sentiment140 4 comments learnmachinelearning
- I Compiled a Dataset of ~2.5 Million /r/WallStreetBets Comments for an Algorithmic Trading Strategy Based on Market Volatility [X-Post /r/AlgoTrading] https://www.kaggle.com/theriley106/wallstreetbetscomments 29 comments wallstreetbets
- Help with understanding data transformation? https://www.kaggle.com/erick5/predicting-house-prices-with-machine-learning 4 comments learnmachinelearning
- Unusual fact: Kareem Abdul-Jabbar has the NBA record stretch of 57 seasons (1950–2007) between players he shared a court with. https://www.kaggle.com/drgilermo/nba-players-stats#player_data.csv 60 comments nba
- My first data set! I'd love some feedback! https://www.kaggle.com/philipjames11/dark-net-marketplace-drug-data-agora-20142015 5 comments datascience
- Question about working with categorical data https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings 7 comments learnmachinelearning
- Exploring some of the internet's weirder favicons https://www.kaggle.com/colinmorris/unusual-favicons-a-brief-survey 7 comments programming
- Kaggle host a competition in which everyone can participate, but only American Citizens can claim prizes... https://www.kaggle.com/c/passenger-screening-algorithm-challenge/discussion/35118 15 comments datascience
- Data Science Bowl 2017: Can you improve lung cancer detection? https://www.kaggle.com/c/data-science-bowl-2017 10 comments datascience
- Titanic Competition Entry Explained Step-by-Step using Data Science Solutions Workflow https://www.kaggle.com/startupsci/titanic/titanic-data-science-solutions 10 comments datascience
- Free Matlab if you compete on Kaggle for saving whales https://www.kaggle.com/c/noaa-right-whale-recognition 9 comments matlab
- Google's Word2Vec “to enable whole new classes of products that never existed” Kaggle Chief Data Scientist, Word2Vec “is a really, really, really big deal” https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/12349/word2vec-is-based-on-an-approach-from-lawrence-berkeley-national-lab#post8577663 7 comments programming
- Finding Elo - competition to predict players' rating based on the moves they make in one game https://www.kaggle.com/c/finding-elo 3 comments chess
- Gábor Melis won the 'Higgs Boson Machine Learning Challenge' using SBCL. https://www.kaggle.com/c/higgs-boson/forums/t/10425/code-release/54518#post54518 6 comments lisp
Linking pages
- GitHub - sdmg15/Best-websites-a-programmer-should-visit: :link: Some useful websites for programmers. https://github.com/sdmg15/Best-websites-a-programmer-should-visit 331 comments
- The University Is Like a CD in the Streaming Age - The Atlantic https://www.theatlantic.com/ideas/archive/2020/06/university-like-cd-streaming-age/613291/ 282 comments
- Google is acquiring data science community Kaggle • TechCrunch https://techcrunch.com/2017/03/07/google-is-acquiring-data-science-community-kaggle/ 195 comments
- GitHub - remoteintech/remote-jobs: A list of semi to fully remote-friendly companies (jobs) in tech. https://github.com/remoteintech/remote-jobs 158 comments
- Talent shortage in AI is a myth: reply to Cedric Villani | by Mostapha Benhenda | The AI Lab | Medium https://medium.com/the-ai-lab/talent-shortage-in-ai-is-a-myth-reply-to-cedric-villani-c592047a9a1b 124 comments
- Cloud AutoML: Making AI accessible to every business https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/ 93 comments
- My path to OpenAI https://blog.gregbrockman.com/my-path-to-openai 79 comments
- Blockchains for Artificial Intelligence | by Trent McConaghy | Ocean Protocol https://blog.bigchaindb.com/blockchains-for-artificial-intelligence-ec63b0284984 60 comments
- Big Data & the Risky Eclipse of Statisticians http://blog.hackerrank.com/the-risky-eclipse-of-statisticians/ 59 comments
- GitHub - antirez/neural-redis: Neural networks module for Redis https://github.com/antirez/neural-redis 58 comments
- GitHub - dgwozdz/HN_SO_analysis: Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality https://github.com/dgwozdz/HN_SO_analysis 58 comments
- Notes from porting C# code to PHP http://www.moserware.com/2010/10/notes-from-porting-c-code-to-php.html 53 comments
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning 46 comments
- An Introduction to Scientific Python – Pandas http://www.datadependence.com/2016/05/scientific-python-pandas/ 42 comments
- How To Learn Data Science - My path | by Senthil E | Towards Data Science https://towardsdatascience.com/how-to-learn-data-science-my-path-ba7b9aa94f63?sk=47d16e88a2bcb0635ab14792b0092fb6&source=friends_link 41 comments
- GitHub - kjaisingh/high-school-guide-to-machine-learning: Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one. https://github.com/kjaisingh/high-school-guide-to-machine-learning 38 comments
- Vesuvius Challenge https://scrollprize.org/ 36 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/caesar0301/awesome-public-datasets 34 comments
- GitHub - donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://github.com/donnemartin/data-science-ipython-notebooks 34 comments
- Data scientists mostly just do arithmetic and that’s a good thing - Signal v. Noise https://m.signalvnoise.com/data-scientists-mostly-just-do-arithmetic-and-that-s-a-good-thing-c6371885f7f6#.8ce39lkp9 32 comments