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Learn GUI application development from the ground up by building simple projects that teach the fundamentals of using PyQt6. This 2nd edition includes updated code, programs, and new chapters to get you started using the newest version. Taking a practical approach, each chapter will gradually teach more advanced and diverse concepts to aid you in designing and customizing interesting and professional applications.
If you’re a software engineer, big data infrastructure engineer, or Elasticsearch developer, you’ll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industry who use Elastic for metrics evaluation and search analytics to get deeper insights for better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.
運用機器學習獲得對于數(shù)據(jù)的深入洞見,是現(xiàn)代應用開發(fā)者和分析師的關(guān)鍵技能。Python是一種可以用于開發(fā)機器學習應用的 語言。作為一種動態(tài)語言,它可以進行快速探索和實驗。利用其 的開源機器學習庫,你可以在快速嘗試很多想法的同時專注于手頭的任務(wù)。 科埃略、里克特所著的《Python語言構(gòu)建機器學 統(tǒng)(第2版影印版)(英文版)》展示了如何在原始數(shù)據(jù)中尋找模式的具體方法,從復習Python機器學習知識和介紹程序庫開始,你將很快進入應對正式而真實的數(shù)據(jù)集項目環(huán)節(jié),運用建模技術(shù),創(chuàng)建 系統(tǒng)。然后,該書介紹了主題建模、籃子分析和云計算等 主題。這些內(nèi)容將拓展你的能力,讓你能夠創(chuàng)建大型復雜系統(tǒng)。 有了這本書,你就能獲得構(gòu)建自有系統(tǒng)所需的工具和知識, 化解決實際的數(shù)據(jù)分析相關(guān)問題。
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