Iwe unofarira sainzi yedata uye kudzidza nezve izvo zvakakosha? Kuve sainzi wedata hakusi nyore. Uyezve, zvinotora makore ekushanda nesimba uye kuzvipira. Iine chaiyo data sainzi bhuku runyorwa, zvisinei, iwe unozogona kudzidza ese akakosha data sainzi pfungwa kuti ubudirire mundima iyi. Sainzi yedata inzvimbo iri kukurumidza kukura ine akawanda maapplication mubhizinesi, academia, uye hurumende.
Sezvo masangano akawanda achivimba nedata kuita sarudzo, kudiwa kwemasaenzi edata hakuna kumbokwira. Zvisinei, nekudiwa kwepamusoro kwakadaro kunouya makwikwi akawanda. Kuti uve akanakisa data sainzi iwe waungave, zvakakosha kuti urambe uchidzidza uye urambe uchifambirana neazvino maitiro uye kusimukira mumunda. Mabhuku esainzi edhita achakubatsira kuti urambe uri pamberi pekavha uye kukupa makwikwi mumusika webasa.
Heano akanakisa data sainzi mabhuku ekuverenga kuti uvandudze kunzwisisa kwako uye mashandisiro e data sainzi pfungwa.
1. Data Science yeBhizinesi naFoster Provost naTom Fawcett
Iri ibhuku resainzi yedata iro rinopa humbowo hunoshanda hwekuita sarudzo inotungamirwa nedata. Inotanga nesumo kune data sainzi, kukurukura zvakakosha pfungwa uye matekiniki. Inobva yaenda kune chaiyo maapplication mukushambadzira, mari, uye mashandiro. Mubhuku rose, vanyori vanopa tsananguro dzakajeka uye dzakapfupikiswa dzepfungwa, pamwe chete nemienzaniso yepasirese. Inosanganisirawo zvidzidzo kubva kumakambani akabudirira kushandisa sainzi yedata kuvandudza mabhizinesi avo. Kuti ubudirire musainzi yedata, unofanirwa kukwanisa kuongorora data pamwe nekutaurirana nekunyora pfungwa dzako.
2. Nhanganyaya kuData Science naJeffrey Stanton
Kana iwe uchitsvaga gwara rakazara iro rinokudzidzisa zvese zvaunoda kuziva nezve data sainzi, wobva watarisa Nhanganyaya kuData Science naJeffrey Stanton. Iyo inovhara zvese kubva kumasvomhu nzira uye algorithms kune data kuona uye kudzidza muchina.
Inopawo tsananguro dzakadzama dzemienzaniso yepasirese kuitira kuti iwe ugone kuona kuti aya ese pfungwa anoshanda sei pamwechete mukuita. Iri bhuku igwara rakanakira chero munhu anoda kudzidza data sainzi zvakakosha nenzira inowirirana uye inonzwisisika. Zvichakubatsirawo kukudziridza hunyanzvi hunozove hwakakosha zvisinei kuti ramangwana rako rebasa ringave rini.
3. Kuchera kweMassive Datasets naJure Leskovec naAnand Rajaraman
Kucherwa kweMassive Datasets ibhuku rakadhindwa muna 2011 uye rave rimwe remabhuku ane simba pamusoro pesainzi yedata. Yakanyorwa naJure Leskovec naAnand Rajaraman uye inobata nematambudziko ekuchera dhata makuru makuru. Imwe yemabhenefiti makuru ekuverenga bhuku iri nderekuti ichakubatsira iwe kunzwisisa mamwe akakosha pfungwa kumashure kwekuchera data.
Ichakugonesa kugadzirisa matambudziko akaomarara nekunyatsoita uye nekuita. Pamusoro pezvo, zvichakubatsira iwe kukudziridza kunzwisisa kuri nani kwemashandiro anoita makomputa, izvo zvinokupa mukana kana uchishanda nedata hombe. Pakazara, ibhuku rakakosha kune chero munhu anoda kudzidza data sainzi zvakadzama. Yakanyorwa zvakanaka uye inopa hupfumi hweruzivo runogona kushandiswa kugadzirisa matambudziko chaiwo enyika.
4. Predictive Analytics naEric Siegel
Predictive Analytics naEric Siegel ibhuku resainzi re data rinofukidza huwandu hwakawanda hwemisoro ine chekuita ne data analytics. Inoita basa rakakura rekutsanangura izvo zvekutanga zve data analytics uye data sainzi. Inopa ruzivo rwepamusoro mukufungidzira modhi uye kuchera data. Bhuku racho rakanyorwa zvakanaka uye riri nyore kunzwisisa. Izvi zvinonyanya kuita kuti ive sosi yakanaka kune chero munhu anofarira kudzidza zvakawanda nezve data sainzi. Pamusoro pezvo, bhuku iri rinosanganisira mienzaniso yakawanda inoshanda inotaridza mashandisirwo angaitwa analytics ekufungidzira kuvandudza kuita sarudzo dzebhizinesi uye zvimwe zvingangoitwa.
5. R yeData Science naHadley Wickham naGarrett Grolemund
Bhuku raHadley Wickham naGarrett Grolemund, R reData Sainzi, igwaro rakakosha kune chero munhu anoda kudzidza sainzi yedata achishandisa R programming mutauro. Inovhara nyaya dzakasiyana-siyana, kubva pakukakavadzana kwedata uye kuongorora kusvika pakuona data uye kudzidza muchina. Muchitsauko chega chega, vanyori vanopa tsananguro dzakajeka uye nhanho-ne-nhanho mienzaniso kuratidza pfungwa dzinokosha.
Nekuda kweizvozvo, R yeData Sainzi ndeye yakanakisa sosi kune vese vanotanga uye vane ruzivo ve data masayendisiti zvakafanana. Tiine tarisiro pane yakarongeka - muunganidzwa wezvishandiso zvekukakavadzana, kuongorora, uye kuona - bhuku rino richave rakakosha kune vashandisi veR vasinganyanyi kufarira sainzi yedata.
6. Nhanganyaya yeKudzidza Kwenhamba naGareth James, Daniela Witten, Trevor Hastie, naRobert Tibshirani.
Iri bhuku rinoonekwa zvakanyanya serimwe reakanakisa data sainzi mabhuku aripo. Yakave yekuenda-kune sosi yevadzidzi uye nyanzvi zvakafanana. Bhuku rinopa vaverengi mhedziso yakajeka uye yakapfupika yenzira nemashandisirwo ezvidzidzo zvenhamba. Mukuwedzera, inosanganisira mienzaniso yakashanda uchishandisa chaiyo data seti kuratidza pfungwa dzakakosha. Inoita kuti gwara iri rive sosi yakakosha kune chero munhu anofarira sainzi yedata. Kunyangwe iwe uri kutanga mumunda kana kutsvaga kukwidziridza hunyanzvi hwako, Nhanganyaya yeKudzidza Kwekuverenga chinhu chakakosha kuverenga.
7. The Elements of Statistical Learning naTrevor Hastie, Robert Tibshirani, naJerome Friedman
Iwo maElements eStatistical Kudzidza ndeimwe yeanonyanya kufarirwa data sainzi mabhuku kunze uko. Rakanyorwa naTrevor Hastie, Robert Tibshirani, naJerome Friedman, bhuku iri rinofukidza akasiyana emisoro yakakosha kusainzi yedata, kusanganisira yekuongorora dhata, modhi yekudzoreredza, kudzidza muchina, nezvimwe. Iri bhuku rakazara zvakare nemienzaniso yepasirese uye macode snippets kubatsira vaverengi kushandisa zvavanenge vadzidza.
Kunyange zvisiri kudikanwa kuverenga kwevadzidzi vesainzi yedata, inowanzokurudzirwa sesosi yakanaka kune avo vanofarira kudzidza zvakawanda nezvemunda. Iri bhuku rinoita basa rakanaka rekutsanangura izvo zvekutanga zvekuverenga nhamba uye rinopa akawanda emienzaniso yekodhi kubatsira vaverengi kunzwisisa pfungwa.
8. Bayesian Analysis yeSocial Sayenzi naJeffrey K. Wooldridge
Sainzi yedata inzvimbo iri kukura, uye hapana kushayikwa kwemabhuku esainzi yedata kusarudza kubva. Nekudaro, Bayesian Analysis yeSocial Sayenzi naJeffrey K. Wooldridge isarudzo yakasarudzika kune wese anotarisa kudzamisa kunzwisisa kwavo mundima iyi. Wooldridge inyanzvi inovhara izvo zvekutanga zvesainzi yedata uku uchiongororawo mune mimwe misoro yepamusoro, senge Bayesian inference. Iri bhuku rakanyorwa zvakanaka uye riri nyore kutevera, richiita sarudzo yakanaka kune vanotanga data sainzi uye nyanzvi zvakafanana. Sainzi yedata ndeyekutsvagisa, ongororo, kutonga yakawanda data, uye kunyora.
9. Kudzidza Kwakadzika naIan Goodfellow, Yoshua Bengio, naAaron Courville
Kudzidza Kwakadzika ibhuku resainzi yedata rakanyorwa naIan Goodfellow, Yoshua Bengio, naAaron Courville. Inopa mucherechedzo wekudzidza kwakadzama, ichifukidza zvese zviri zviviri dzidziso uye mashandisirwo anoshanda. Pamusoro pekutsanangura akasiyana algorithm marudzi, inovhara zvakare misoro senge data preprocessing, network yedhizaini yedhizaini, uye modhi tuning. Nekuda kweizvozvo, zvichabatsira kune chero munhu anofarira data sainzi uye kudzidza muchina.
10. Machine Learning naThomas M. Mitchell
Mubhuku rake, Thomas M. Mitchell anopa sumo yakajeka uye yakapfupika kune zvakakosha zvesainzi yedata, kusanganisira kuchera data, kusarudzwa kwezvinhu, kusarudzwa kwemuenzaniso, uye kuongororwa kwemuenzaniso. Anokurukura zvakare mimwe misoro yepamusoro senge neural network uye kudzidza kwakadzama. Nemienzaniso yayo yakawanda uye nhanho-ne-nhanho tsananguro, Machine Kudzidza ibhuku rakanakira sainzi yedata kune vanotanga. Nekudaro, kunyangwe masayendisiti ane ruzivo rwe data achawana zvakawanda zvekudzidza kubva kuMitchell yakajeka uye yakanyatso kurongeka mharidzo.
mhedziso
Kuburikidza nekuverenga akanakisa data sainzi mabhuku, iwe unovaka hwaro hwakasimba mune data sainzi pfungwa uye unokwanisa kuishandisa mumamiriro ezvinhu epasirese. Pamusoro pezvo, mabhuku aya anozokubatsirawo kukudziridza hunyanzvi hwakakosha senge hurongwa, ongororo yenhamba, kudzidza kwemichina, nezvimwe. Neruzivo urwu uye hunyanzvi, iwe uchave wakanyatso gadzirira kukwikwidza mabasa mumunda unoramba uchikura wesainzi yedata.