滿額折
Data Scientist's Handbook: A Comprehensive Guide
商品資訊
ISBN13：9798863594132
出版社：Independently published
作者：Vijay Kumar Varadi
出版日：2023/10/06
裝訂：平裝
規格：22.9cm*15.2cm*0.5cm (高/寬/厚)
相關商品
商品簡介
商品簡介
Data Scientist's Handbook: A Comprehensive Guide
Section I: Foundations of Data Science Dive into the multifaceted world of data science, from its definition to the essential skill intersection of mathematics, technology, and business acumen. Get hands-on with Python, the go-to language in this field, and familiarize yourself with pivotal libraries such as NumPy and pandas. Understand the nuances of managing data using relational databases, SQL, and big data tools, concluding with the exploratory techniques to visualize and interpret data distributions.
Section II: Statistical and Machine Learning Techniques Embark on a journey through the statistical methods that form the bedrock of data-driven decision-making. Get acquainted with supervised learning models like regression and classification, and explore the realm of unsupervised learning with clustering and dimensionality reduction techniques. Deep dive into neural networks and other deep learning paradigms, wrapping up with advanced modeling techniques essential for complex data challenges.
Section III: Real-world Data Science Applications Discover how data science powers diverse sectors. From processing and deriving insights from textual data through natural language processing, understanding images with computer vision, driving business decisions through intelligent analytics, to revolutionizing healthcare and dissecting social media networks, this section unravels the myriad applications of data science.
Section IV: Ethical and Responsible Data Science As data practitioners, one's responsibility extends beyond accurate models. Navigate the intricate maze of data privacy laws and understand the importance of data encryption. Address the pressing concerns of bias and fairness in AI, ensuring models are interpretable and transparent. Delve into the environmental considerations in AI and understand the broader societal implications, emphasizing the need for robust AI governance.
Section V: Career Development and Continuous Learning Charting a career in data science requires more than just technical prowess. Learn how to curate a compelling portfolio, tackle interviews with confidence, and evaluate job offers. Emphasize the value of soft skills like effective communication and collaboration. As the field continues to evolve, grasp the significance of staying updated, and get insights into the emerging trends shaping the future of data science.
Section I: Foundations of Data Science Dive into the multifaceted world of data science, from its definition to the essential skill intersection of mathematics, technology, and business acumen. Get hands-on with Python, the go-to language in this field, and familiarize yourself with pivotal libraries such as NumPy and pandas. Understand the nuances of managing data using relational databases, SQL, and big data tools, concluding with the exploratory techniques to visualize and interpret data distributions.
Section II: Statistical and Machine Learning Techniques Embark on a journey through the statistical methods that form the bedrock of data-driven decision-making. Get acquainted with supervised learning models like regression and classification, and explore the realm of unsupervised learning with clustering and dimensionality reduction techniques. Deep dive into neural networks and other deep learning paradigms, wrapping up with advanced modeling techniques essential for complex data challenges.
Section III: Real-world Data Science Applications Discover how data science powers diverse sectors. From processing and deriving insights from textual data through natural language processing, understanding images with computer vision, driving business decisions through intelligent analytics, to revolutionizing healthcare and dissecting social media networks, this section unravels the myriad applications of data science.
Section IV: Ethical and Responsible Data Science As data practitioners, one's responsibility extends beyond accurate models. Navigate the intricate maze of data privacy laws and understand the importance of data encryption. Address the pressing concerns of bias and fairness in AI, ensuring models are interpretable and transparent. Delve into the environmental considerations in AI and understand the broader societal implications, emphasizing the need for robust AI governance.
Section V: Career Development and Continuous Learning Charting a career in data science requires more than just technical prowess. Learn how to curate a compelling portfolio, tackle interviews with confidence, and evaluate job offers. Emphasize the value of soft skills like effective communication and collaboration. As the field continues to evolve, grasp the significance of staying updated, and get insights into the emerging trends shaping the future of data science.
您曾經瀏覽過的商品
購物須知
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。