Arama Sonuçları - Landscape General works.
Önerilen Konular
Önerilen Konular
- General 10
- Education 4
- Social Science 3
- Education, Higher 2
- Sociology 2
- Technological innovations 2
- Academic workload 1
- Anthropological linguistics 1
- Archaeology 1
- Atoms 1
- Atoms and molecules in external fields 1
- BUSINESS & ECONOMICS 1
- Chemistry 1
- Chemistry, Physical and theoretical 1
- Chemistry, Technical 1
- Chemometrics 1
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- Computer Communication Networks 1
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- Courts & procedure 1
- Criminology 1
- Critical thinking 1
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- Ecological engineering 1
- Economic aspects 1
- Economics 1
- Educational strategies & policy 1
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2
Hard labour? academic work and the changing landscape of higher education /
Baskı/Yayın Bilgisi 2012Full-text access
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3
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4
The future of learning and teaching in next generation learning spaces
Baskı/Yayın Bilgisi 2014Full-text access
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5
The diversity of social theories
Baskı/Yayın Bilgisi 2011Full-text access
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6
Case study evaluation past, present and future challenges /
Baskı/Yayın Bilgisi 2015Full-text access
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7
Politics and technology in the post-truth era /
Baskı/Yayın Bilgisi 2019Full-text access
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8
Terror, leisure and consumption : spaces for harm in a post-crash era /
Baskı/Yayın Bilgisi 2018Full-text access
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9
Special issue law firms, legal culture, and legal practice /
Baskı/Yayın Bilgisi 2010Full-text access
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10
Community and ecology dynamics of place, sustainability and politics /
Baskı/Yayın Bilgisi 2006Full-text access
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11
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12
Transforming the rural : global processes and local futures /
Baskı/Yayın Bilgisi 2017Full-text access
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13
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14
Quantum Dynamics and Laser Control for Photochemistry
Baskı/Yayın Bilgisi 2016Full-text access
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15
Transactions on Engineering Technologies World Congress on Engineering and Computer Science 2017 /
Baskı/Yayın Bilgisi 2019Full-text access
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16
Deep Learning with Python, Second Edition.
Baskı/Yayın Bilgisi 2021İçindekiler: “…-- 1.1 Artificial intelligence, machine learning, and deep learning -- 1.1.1 Artificial intelligence -- 1.1.2 Machine learning -- 1.1.3 Learning rules and representations from data -- 1.1.4 The "deep" in "deep learning" -- 1.1.5 Understanding how deep learning works, in three figures -- 1.1.6 What deep learning has achieved so far -- 1.1.7 Don't believe the short-term hype -- 1.1.8 The promise of AI -- 1.2 Before deep learning: A brief history of machine learning -- 1.2.1 Probabilistic modeling -- 1.2.2 Early neural networks -- 1.2.3 Kernel methods -- 1.2.4 Decision trees, random forests, and gradient boosting machines -- 1.2.5 Back to neural networks -- 1.2.6 What makes deep learning different -- 1.2.7 The modern machine learning landscape -- 1.3 Why deep learning? …”
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