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Record Nr. |
UNINA9910585795503321 |
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Titolo |
Machine learning and data science : fundamentals and applications / / edited by Prateek Agrawal, Charu Gupta, Anand Sharma, Vishu Madaan and Nisheeth Joshi |
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Pubbl/distr/stampa |
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Hoboken, NJ : , : Wiley |
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Beverly, MA : , : Scrivener Publishing, , 2022 |
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©2022 |
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ISBN |
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9781119776499 |
111977649X |
9781119776482 |
1119776481 |
1-119-77649-X |
1-119-77648-1 |
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Descrizione fisica |
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1 online resource (271 pages) |
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Collana |
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Advances in data engineering and machine learning |
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Disciplina |
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Soggetti |
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Machine learning |
Data mining |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Book Description -- 1 Machine Learning: An Introduction to Reinforcement Learning -- 1.1 Introduction -- 1.1.1 Motivation -- 1.1.2 Machine Learning -- 1.1.3 How Machines Learn -- 1.1.4 Analogy -- 1.1.5 Reinforcement Learning Process -- 1.1.6 Reinforcement Learning Definitions: Basic Terminologies -- 1.1.7 Reinforcement Learning Concepts -- 1.2 Reinforcement Learning Paradigm: Characteristics -- 1.3 Reinforcement Learning Problem -- 1.4 Applications of Reinforcement Learning -- Conclusion -- References; 2 Data Analysis Using Machine Learning: An Experimental Study on UFC -- 2.1 Introduction -- 2.2 Proposed Methodology -- 2.2.1 Data Extraction: Preliminary -- 2.2.2 Pre-Processing Dataset -- 2.3 |
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Experimental Evaluation and Visualization -- 2.4 Conclusion -- References -- 3 Dawn of Big Data with Hadoop and Machine Learning -- 3.1 Introduction -- 3.2 Big Data -- 3.2.1 The Life Cycle of Big Data -- 3.2.2 Challenges in Big Data -- 3.2.3 Scaling in Big Data Platforms -- 3.2.4 Factors to Understand Big Data Platforms and Their Selection Criteria -- 3.2.5 Current Trends in Big Data; 3.2.6 Big Data Use Cases -- 3.3 Machine Learning -- 3.3.1 Machine Learning Algorithms -- 3.4 Hadoop -- 3.4.1 Components of the Hadoop Ecosystem -- 3.4.2 Other Important Components of the Hadoop Ecosystem for Machine Learning -- 3.4.3 Benefits of Hadoop with Machine Learning -- 3.5 Studies Representing Applications of Machine Learning Techniques with Hadoop -- 3.6 Conclusion -- References -- 4 Industry 4.0: Smart Manufacturing in Industries The Future -- 4.1 Introduction -- Challenges or Responses -- Shared Infrastructure -- Security -- Costs or Profitability -- Future Proofing -- Conclusion; 6.3.3 Cluster-Based Mapping with Depth First Search (DFS) Algorithm -- 6.4 Proposed Methodology -- 6.4.1 Cluster-Based Mapping with FM Algorithm -- 6.4.2 Calculation of Total Power Consumption -- 6.4.3 Total Power Calculation by Using Tabu Search -- 6.5 Experimental Results and Discussion -- 6.5.1 Total Power Consumption in 2D NoC -- 6.5.2 Performance of Tabu Search for Power Optimization with Mesh Topology -- 6.5.3 Performance of Tabu Search for Power Optimization with Ring Topology -- 6.5.4 Average Hop Counts for 2D NoC -- 6.6 Conclusion -- References |
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2. |
Record Nr. |
UNINA9910495671803321 |
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Autore |
Bédouret David |
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Titolo |
Programmes et disciplines scolaires : Quelles reconfigurations curriculaires ? / Christine Vergnolle Mainar, Odile Tripier-Mondancin |
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Pubbl/distr/stampa |
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Toulouse, : Presses universitaires du Midi, 2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (184 p.) |
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Altri autori (Persone) |
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CollardSophie |
CostesJosette |
DaudignonCarine |
Garcia-DebancClaudine |
HamidMarie-Claude Lauga |
HamonChristian |
HarléIsabelle |
HertigPhilippe |
HouadecVirginie |
JorgeMuriel |
LangeJean-Marc |
LascouxNancy Maury |
LebeaumeJoël |
LuekenKonstanze |
MainarChristine Vergnolle |
PanissalNathalie |
RousselCatherine |
Tripier-MondancinOdile |
VerdeauPatricia |
ZaidAbdelkarim |
Vergnolle MainarChristine |
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Soggetti |
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Education |
enseignement |
école |
programme |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Les contenus d’enseignement, leur organisation tout au long du cursus des élèves ainsi que la façon de les transmettre sont au cœur d’enjeux sociétaux importants. De façon récurrente, ils font d’ailleurs l’objet de débats - parfois vifs - interrogeant les finalités assignées au système éducatif. Dans cet ouvrage, l’évolution de disciplines scolaires enseignées dans le second degré, ainsi que l’organisation des enseignements qui en résulte, est étudiée sous l’angle de ses logiques et de ses rythmes, afin d’éclairer les questionnements contemporains. Les changements correspondants sont abordés en croisant des approches historique, épistémologique, sociologique ou encore didactique, la situation française étant mise en perspective avec le contexte européen. Les auteurs de cet ouvrage abordent ces évolutions et enjeux contemporains en prenant appui sur les résultats de leurs recherches universitaires. |
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