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Data Science Interviews Exposed offers data science career advice andREAL interview questions to help you get the six;
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Ace technical interviews with smart preparation Programming Interviews Exposed is the programmer's ideal first choice for technical;
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benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data;
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benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data;
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view and cohesive understanding of scientific methods, statistics, data interpretation, and scientific ethics that are illustrated with;
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human body, and to the molecular level, in order to investigate gene-environment interactions. In Exposed Science , Sara Shostak analyzes the;
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human body, and to the molecular level, in order to investigate gene-environment interactions. In Exposed Science , Sara Shostak analyzes the;
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minimum of prior knowledge, the series reviews the full range of disciplines to which a Biomedical Scientist may be exposed - from microbiology to;
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be available if you can't ace the interview. If you are a Java programmer concerned about interviewing, Java Programming Interviews Exposed;
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The era of digital communication provides endless opportunities for the collection and analysis of social data in novel ways. It also;
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The era of digital communication provides endless opportunities for the collection and analysis of social data in novel ways. It also;
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analysis of molecular sequence data. These advances have exposed ethical and policy concerns. How would genomic information be used and by whom;
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analysis of molecular sequence data. These advances have exposed ethical and policy concerns. How would genomic information be used and by whom;
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Build a Career in Data Science is the top guide to help readers get their first data science job, then quickly becoming a senior employee;
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Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;
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conducting in-depth interviews with over 600 of them. From this wealth of data, the authors extract the real story of the relationship between;
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Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted;
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When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than;
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this newest edition of Programming Interviews Exposed.;
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to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as;
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variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;
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From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science;
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All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from;
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in interviews be? How do researchers begin to analyze the narrative data generated through interviews? Lee Ann Fujii explores the answers to these;
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in interviews be? How do researchers begin to analyze the narrative data generated through interviews? Lee Ann Fujii explores the answers to these;
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Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary;
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Fault Lines Exposed intends to understand inequality across Australian cities and towns. Social and economic change in Australia has;
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