Tutorials on Machine learning & Deep-Learning

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This Book is form the courses of two professional Data Scientists Kirill Eremenko from SuperDataScience and Hadelin de Ponteves from BlueLife AI. You can get a quick overview on Machine Learning & Deep Learning from this book. Also this book will be the best guide for the Courses of Kirill Eremenko and Hadelin de Ponteves. It can also helpful for Andrew Ng's Machine learning course.

Author(s): Kirill Eremenko and Hadelin de Ponteves
Edition: 2016

Language: English
Pages: 578
Tags: Machine learning, Deep-Learning, Data Science, A.I.

Cover_topics
ml_p3_ch0_ML_Usage
ml_p3_ch0_ML_WWH
ml_p3_ch1_data_prep
ml_p3_ch2_Rgsn_1_SmpLnrRgsn
ml_p3_ch2_Rgsn_2_Multi_LnrRgsn
ml_p3_ch2_Rgsn_3_polnm_rgsn
ml_p3_ch2_Rgsn_4_SVR_supp_vec_rgsn
ml_p3_ch2_Rgsn_5_DTR_dcsn_tre_rgsn
ml_p3_ch2_Rgsn_6_RFR_rand_fost_rgsn
ml_p3_ch2_Rgsn_7_Evl_peform_rgsn
ml_p3_ch3_Clsfn_1_lgstc_rgsn
ml_p3_ch3_Clsfn_2_KNN_K_near_nbd
ml_p3_ch3_Clsfn_3_SVM_supp_vec_mchn
ml_p3_ch3_Clsfn_4_Krnl_SVM
ml_p3_ch3_Clsfn_5_Niv_bys
ml_p3_ch3_Clsfn_6_DTC_dcsn_tre_clsfn
ml_p3_ch3_Clsfn_7_RFC_rand_fost_clsfn
ml_p3_ch3_Clsfn_8_Evl_peform_clsfn
ml_p3_ch4_CTrng_1_K_mean_CTrng
ml_p3_ch4_CTrng_2_Hircl_CTrng
ml_p3_ch5_Asoctn_rul_lrng_1_apriori
ml_p3_ch5_Asoctn_rul_lrng_2_eclat
ml_p3_ch6_rinf_lrng_1_UCB
ml_p3_ch6_rinf_lrng_2_Tmpsn.docx
ml_p3_ch7_NLP
ml_p3_ch8_dp_1_ANN_1_intro
ml_p3_ch8_dp_1_ANN_2_nron
ml_p3_ch8_dp_1_ANN_3_GD_BaKpr
ml_p3_ch8_dp_1_ANN_4_py_iplmt
ml_p3_ch8_dp_1_ANN_5_predict_new_data
ml_p3_ch9_dp_2_CNN_1_intro
ml_p3_ch9_dp_2_CNN_2_ConvOp_ReLU
ml_p3_ch9_dp_2_CNN_3_PL_Flt
ml_p3_ch9_dp_2_CNN_4_Smry_CrsNtpy
ml_p3_ch9_dp_2_CNN_5_Prjct
ml_p3_ch9_dp_2_CNN_6_pdct_single_data
ml_p3_ch10_DIM_rdtn
ml_p3_ch11_pt_1_MDL_slctn
ml_p3_ch11_pt_2_XGBoost
ml_p3_ch11_pt_3_dp_tune_ANN
ml_p3_ch12_dp_3_RNN_1_intro
ml_p3_ch12_dp_3_RNN_2_LSTM
ml_p3_ch12_dp_3_RNN_3_prjct
ml_p3_ch12_dp_3_RNN_4_prjct_eval
ml_p3_ch12_dp_3_RNN_5_GRU
ml_p3_ch13_dp_4_SOM_1_intro
ml_p3_ch13_dp_4_SOM_2_K_mn_CTrng_rev
ml_p3_ch13_dp_4_SOM_3_SOM
ml_p3_ch13_dp_4_SOM_4_prjct
ml_p3_ch13_dp_4_SOM_5_prjct_cs_stdy
ml_p3_ch14_dp_5_BLTZ_1_intro
ml_p3_ch14_dp_5_BLTZ_2_Rstc_Bltz
ml_p3_ch14_dp_5_BLTZ_3_Cntsv_div
ml_p3_ch14_dp_5_BLTZ_4_prjct_pt_1
ml_p3_ch14_dp_5_BLTZ_5_prjct_pt_2
ml_p3_ch15_dp_6_AutEnc_1_intro
ml_p3_ch15_dp_6_AutEnc_2_AutEnc_types
ml_p3_ch15_dp_6_AutEnd_3_prjct