Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:book
|
| gptkbp:argued_on |
importance of algorithms in modern society
|
| gptkbp:author |
gptkb:Pedro_Domingos
|
| gptkbp:discusses |
gptkb:neural_networks
deep learning genetic algorithms decision trees support vector machines five tribes of machine learning |
| gptkbp:explains |
reinforcement learning
supervised learning unsupervised learning |
| gptkbp:explores |
data mining
|
| gptkbp:focuses_on |
unifying theory of machine learning
|
| gptkbp:genre |
gptkb:non-fiction
|
| https://www.w3.org/2000/01/rdf-schema#label |
The Master Algorithm
|
| gptkbp:influenced |
machine learning practitioners
|
| gptkbp:influences |
gptkb:Artificial_Intelligence
|
| gptkbp:is_available_in |
gptkb:audiobook
ebook hardcover paperback |
| gptkbp:is_cited_in |
numerous academic papers
|
| gptkbp:is_considered_as |
a seminal work in machine learning
|
| gptkbp:is_discussed_in |
gptkb:podcasts
conferences various online courses |
| gptkbp:is_notable_for |
its interdisciplinary approach
its accessible writing style its comprehensive overview of machine learning its discussion of ethical implications of AI its emphasis on the importance of data its insights into the future of AI its exploration of the impact of algorithms on society its call for a master algorithm that can learn anything. |
| gptkbp:is_part_of |
machine learning literature
|
| gptkbp:is_recommended_for |
gptkb:students
gptkb:researchers professionals |
| gptkbp:is_used_in |
corporate training programs
university curricula |
| gptkbp:isbn |
978-0-465-06550-2
|
| gptkbp:language |
English
|
| gptkbp:presents |
real-world applications of machine learning
|
| gptkbp:published_year |
gptkb:2015
|
| gptkbp:publisher |
Basic Books
|
| gptkbp:received |
positive reviews
|
| gptkbp:subject |
gptkb:machine_learning
|
| gptkbp:translated_into |
multiple languages
|
| gptkbp:bfsParent |
gptkb:Pedro_Domingos
|
| gptkbp:bfsLayer |
3
|