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“…While academic courses on machine learning focus on gradients and the latest flavor of recurrent network, Ted Dunning (MapR) explores the techniques that practitioners in the real world are seeking out better features and figuring out how to extract value using a variety of time-honored (and occasionally exceptionally clever) heuristics. …”

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“…Joana Carrasqueira and Nicole Pang (Google) share some great ways to get involved in TensorFlow, explain how its design and development works, and show you how to get started if you're new to machine learning or new to TensorFlow. They cover a variety of ways for you to participate, including Special Interest Groups, which are project-specific groups for collaboration and contribution; request for comments (RFCs), the open discussion of design directions; documentation and translation communities; user groups and the Google Developer Expert ML program; and GitHub and Stack Overflow. …”

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“…You'll be able to configure, maintain, and support a variety of Linux systems. You can even use the skills you learned to become a Linux System Engineer or Linux System Administrator. …”

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“…In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. …”

“…There is a strong focus on using the terminal exclusively for this course, which is the best way to ensure a wide variety of Linux environments can be used with almost no difference in concepts. …”

“…Amazon Redshift also provides robust access to a variety of data analytics tools, compliance features, integration with other AWS services and even artificial intelligence/ machine learning applications that allow customers numerous opportunities to derive value with their current business intelligence tools. …”

“…This book represents the first collection specifically devoted to New Speaker Studies, focusing on language ideologies and practices of speakers in a variety of minority language communities. Over thirteen chapters, it uses the new speaker lens to investigate not only linguistic issues, such as language variation and change, phonetics, morphosyntax, language acquisition, code-switching, but also sociolinguistic issues, such as legitimacy, integration, and motivation in language learning and use. …”