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機器學(xué)習(xí)簡歷模板使用便捷-高效-實用，高效提升求職效率，做高質(zhì)量簡歷就用錘子簡歷。

.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};} .resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;} .resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; } /* ?????? */ .resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}

? 頭像: 隱藏

編輯

["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]

? 基本信息: 女

28歲



本科

未婚

中共黨員

?

4年經(jīng)驗

13800138000

BD@100chui.com

? 姓名: 錘子簡歷

夢想每個人都有，但不是每個人都有勇氣去堅信，我有!

 求職意向: 
機器學(xué)習(xí)


廣州


面議


隨時到崗

 教育背景: 2014.09 - 2018.06

錘子簡歷大學(xué)

計算機與信息技術(shù)

GPA：3.72/4（專業(yè)前10%） GRE：324

 工作經(jīng)驗

2019年12月 - 至今

錘子簡歷信息有限公司

機器學(xué)習(xí)

建立爬出管理系統(tǒng)，分布式部骨近200個爬蟲。獲得大量用戶流量數(shù)據(jù)，通過ETL進(jìn)行數(shù)據(jù)庫整合，將數(shù)據(jù)作為后期機器學(xué)習(xí)支持、減少額外數(shù)據(jù)獲取行為3次。節(jié)省教據(jù)挖據(jù)周期30天。同時建立3個數(shù)據(jù)監(jiān)控，實現(xiàn)數(shù)據(jù)庫實時監(jiān)控上數(shù)據(jù)庫多線程管理；
通過文章界面內(nèi)器數(shù)據(jù)埋點，進(jìn)行輿論的詞頻提取和情感分析，將獲得的教據(jù)建立3個詞頻庫和2個情感分析庫，根據(jù)業(yè)務(wù)需要訓(xùn)練3個詞庫提取機器人，通過機器自動提取減少人工數(shù)據(jù)埋點工作30%。建立市場情緒分析模型，并開展深度學(xué)習(xí)工程;
對數(shù)據(jù)進(jìn)行清洗、整合和加載。將ETL工作模式作為深度學(xué)習(xí)內(nèi)容加入機器訓(xùn)練內(nèi)容，規(guī)范化的ETL機器工作模式為機器學(xué)習(xí)提供了40%的效率提升。

2018年3月 - 2019年12月

錘子簡歷科技有限公司

機器學(xué)習(xí)

參與淘寶網(wǎng)13項商品危險分類項目的機器訓(xùn)結(jié)工作。調(diào)過對項目產(chǎn)品進(jìn)行數(shù)據(jù)工程學(xué)習(xí)和危險百品標(biāo)簽建模，提高了機器對于危險商品特征識別率90%以上。在危險商品標(biāo)簽識別基礎(chǔ)上、使用深度學(xué)習(xí)算法進(jìn)行多73個分類標(biāo)簽預(yù)測的任務(wù);
創(chuàng)建Prthon腳本，使用NLP對13項商品進(jìn)行描述分類，通過用戶評論和商品介紹，提取并機器學(xué)習(xí)其中關(guān)鍵字，建立危險商品特征庫，為13項商品識別提供數(shù)據(jù)支持、減少危險商品上架次數(shù)34次，并建立隨機森林和神經(jīng)網(wǎng)絡(luò)模型等7個數(shù)據(jù)模型，將商品分類并找出危險商品12個;
創(chuàng)建的分類模型方法被公司采納到新的審核機制中、獨立負(fù)責(zé)撰寫危險商品特征文檔，為13類商品的檢測和機器學(xué)習(xí)提供了文太理論支持，該這檔日樣月千校驗人工核查的的果，減少了70%宙核的時間并提高了80%檢測新率。

 項目經(jīng)驗

2021年3月 - 2021年11月

項目工程

機器學(xué)習(xí)

建立新閑語料、將收集來的新閑進(jìn)行清洗。采用樸素貝葉斯分類器分成科技、教育等9類。對分類結(jié)果進(jìn)行自動化審核，建立9個新聞?wù)Z料庫，提高基于語料的新聞推送準(zhǔn)確度30%; ·
建立分類模型對新聞進(jìn)行分類，建立機器學(xué)習(xí)使新聞?wù)Z料庫得到自動填充，機器學(xué)習(xí)的設(shè)立提高了新聞?wù)Z料庫填充效率100%，測試集上的準(zhǔn)確率達(dá)到了94.04%，且各類的recall都超過了0.9;
使用改進(jìn)的TF-IDF算法提取每篇新聞的關(guān)鍵詞。得到新閑的關(guān)鍵詞集合，建立詞向量，計算用戶成興趣新聞關(guān)鍵詞列表和新聞關(guān)鍵詞列表的相似度，建立自動生成針對用戶的推薦結(jié)果的系統(tǒng)共3個。