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Data Science Books & Materials

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Data Science Books & Materials Image Source: UC Berkeley Data science: Data science is the practice of analysing raw data through a wide variety of disciplines and expertise areas to produce a holistic view and predict uncertainity. What can data science be used for? Anomaly detection (transaction fraud, disease, faulty sensor etc.) Classifications (spam detection) Forecasting (sales, revenue and customer retention) Pattern detection (weather patterns, financial market patterns, etc.) Recognition (facial, voice, text, etc.) Recommendations (recommend a movie, hotel etc.) Below are some of the useful / free books & materials that I collected from various online sources. it will be useful if you are looking to transition into data science field. Introduction to Data Science Data Science from Scratch Data Science for Business - Foster Provost & Tom Fawcett Data Analytics Data Cleaning Data Engineering Data Science Statistics Cheatsheet Data Science - Algorithms-Ha...

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Arockia Liborious: Arockia Liborious is a visionary in the field of artificial intelligence and analytics, known for his groundbreaking work in leveraging machine learning to catalyze innovation and operational efficiency across the banking, manufacturing, and service sectors worldwide. With a rich career spanning over 15 years, Arockia stands at the forefront of integrating AI technologies to enhance customer experiences, streamline operations, and foster strategic growth. Celebrated as a Top 25 Thought Leader in Predictive Analytics by Thinkers360, his influence extends through his prolific contributions to the field, including his role as an esteemed author and speaker. His strategic involvement on the board of advisors for various non-profit AI and ML forums underscores his commitment to advancing the industry through collaborative knowledge sharing and mentorship. Arockia's work, characterized by a deep technical prowess and visionary leadership, not only sets industry benchmarks but also inspires the next generation of data scientists and AI innovators.

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