01445nam a2200253Ia 450000500170000000800410001702000230005804100080008108200160008910000190010524501190012425000120024326000380025530000300029350000180032350400100034152004790035165000610083070000160089194200120090799900190091995201110093895201420104920250622151027.0240825s9999    xx            000 0 und d  a9789355424334qpbk  aeng  a006.31bGAL  aGallatin, Kyle 0aMachine Learning with Python Cookbookc/ Kyle Gallatinb : practical solutions from preprocessing to deep learning  a2nd ed.  cc2023aSebastopolbO'Reilly Media  axiv, 398 p.bill.c23 cm.  aReprint, 2023  aindex  aThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works.  aMachine learning; Data mining; Apprentissage automatique  aChris Albon  cENGLISH  c540980d540980  00104070aACLbACLc3Ad2024-07-05g1900.00l0o006.31 GALp695411r2024-08-25 13:52:54w2024-07-05yREF  00104070aACLbACLc3Ad2024-07-05g1900.00l7m3o006.31 GAL;1p695412q2026-10-25r2026-09-25 16:49:31s2026-09-25t1w2024-07-05yBK