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761Publicado 2023“…In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. …”
Libro electrónico -
762
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763por Fiand, BarbaraTabla de Contenidos: “…The interface -- Situating ourselves -- Dualism -- The scientific community -- Our task -- Moments of revelation -- The expanding universe -- Seeking the ground of being -- Metaphors for God -- Adjusting our God space -- Lessons learned from light -- Wisdom of scientists and mystics -- Spiritual challenges -- Call to transformation -- Limitations of science as science -- Unknowing -- Scientists beyond science -- Mystical language and insights -- Light and consciousness -- Refocusing the quest -- Our search for God -- Atonement -- Presence -- Prayer -- Allowing energy to flow -- Christ Jesus -- The emergence of God in humanity -- The evolutionary unfolding of love…”
Publicado 2008
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Libro electrónico -
764Publicado 2018“…In Detail R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you - data scientist is the hottest ranked profession in the US. …”
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765Publicado 2024“…Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. …”
Grabación no musical -
766Publicado 2024“…Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. …”
Libro electrónico -
767
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768
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769
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770
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771por Baron-Cohen, SimonTabla de Contenidos: “…An Artist who can teach Scientists; Further Reading…”
Publicado 2004
Libro electrónico -
772por Kampakis, Stylianos. authorTabla de Contenidos: “…Chapter 1: Demystifying Data Science and All the Other Buzzwords -- Chapter 2: Data Management -- Chapter 3: Data Collection Problems -- Chapter 4: How to Keep Data Tidy -- Chapter 5: Thinking like a Data Scientist (Without Being One) -- Chapter 6: A Short Introduction to Statistics -- Chapter 7: A Short Introduction to Machine Learning -- Chapter 8: Problem Solving -- Chapter 9: Pitfalls -- Chapter 10: Hiring and Managing Data Scientists -- Chapter 11: Building a Data-Science Culture -- Chapter 12: Epilogue: Data Science Rules the World -- Appendix A: Tools for Data Science -- …”
Publicado 2020
Libro electrónico -
773
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774Publicado 2018“…In this interview, Jeff Bleiel talks to Matthew Kirk, founder of Your Chief Scientist and the author of Thoughtful Machine Learning with Python about what AI can do for businesses, and the role of AI in a business strategy…”
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775Publicado 2018“…And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet…”
Grabación musical -
776por Goss, W. M.Tabla de Contenidos: “…Foreword -- Preface -- Acknowledgements -- Childhood -- Becoming a Scientist -- WWII 1939-1945 -- Hot Corona -- Quiet Leadership -- Towards a Bigger Science -- The Development of Understanding -- Death and Legacy -- Appendix…”
Publicado 2023
Libro electrónico -
777por Colatrella, CarolTabla de Contenidos: “…Introduction: cultural narratives and the "leaky pipeline" -- The ethics of feminist science -- Female criminals and detectives -- Mothers and medicine -- Babe scientist: science and sex -- Femininity, feminism, and technology -- Conclusion: children's narratives…”
Publicado 2011
Libro electrónico -
778Publicado 2000Tabla de Contenidos: “…R& -- D Since 1980 -- Industrial R& -- D and Innovation -- Federal R& -- D Expenditures -- Academically-Performed R& -- D -- DATA FOR RESEARCH AND INNOVATION POLICY -- Industrial R& -- D Statistics -- Improving Data on R& -- D by Industry Group -- R& -- D and Innovation -- Partnerships -- Allocating Federal Funds for Research and Development -- Priority Setting in Federal Science and Technology -- Interdisciplinary Research -- Federal Funding of Academic Facilities -- 6-Recommendations -- ENSURING RELEVANCE AND ESTABLISHING PRIORITIES -- Appropriateness of Concepts and their Measurement -- Data Analysis -- Data Comparability and Linkages -- Data Currency -- SRS as a Statistical Agency -- IMPROVING DATA RELEVANCE -- Graduate School and the Transition to Employment -- Graduate Education -- Transition to Employment -- The Labor Market for Scientists and Engineers -- Career Paths of Scientists and Engineers -- International Flows of Scientists and Engineers -- R& -- D Funding and Performance -- Industrial R& -- D Statistics…”
Libro electrónico -
779Publicado 2020Libro electrónico
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780Publicado 2020“…Alessandro Negro, a Chief Scientist at GraphAware, explains how to apply graphs to machine learning projects such as recommendation engines and chatbots…”
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