K Labs mette a tua disposizione i propri Trainers Certificati, i Laboratori Didattici, i Simulatori di Esame, il proprio Test Center e un Tutor a te dedicato per la preparazione all'esame.
Grazie al nostro supporto la percentuale di candidati che ottengono la certificazione al primo tentativo è prossima al 100%.
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RICERCA CORSI
08-KLA-ATRWS - Network Analysis and Troubleshooting Through Wireshark (ATRWS) 
NewCondition € 2281.40
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01-KLA-DVBTV - DVB: Architectures, Management and Testing for Digital Television (DVBTV) 
NewCondition € 2281.40
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1 2 3 4 5 › 18
HCIE-Big Data-Data Mining
HUAWEI BIG DATA HCIE, Huawei, machinelearning, bigdata, ai, datamining
NewCondition € 1800.00
Pre-Order
Pre-Order
OBJECTIVES
Upon completion of this course, you will be able to:
1.Have a good command of data mining methods.
2.Use FusionInsight and MRS.
3.Use Spark MLlib.
PREREQUISITES
Be familiar with SQL basics
Be familiar with big data basics
Be familiar with basic operations on Linux operating systems
WHO SHOULD ATTEND
Those who hope to become big data mining engineers；
Those who hope to obtain an HCIE-Big Data-Data Mining certificate；
Expert of big data mining
TOPICS
Chapter 1 Data Mining
Chapter 2 Prerequisites
Chapter 3 Data Preprocessing
Chapter 4 Feature Selection and Dimension Reduction
Chapter 5 Supervised Learning
Chapter 6 Unsupervised Learning
Chapter 7 Model Evaluation and Optimization
Chapter 8 Comprehensive Application of Data Mining
Chapter 9 Data Mining Using Spark MLlib
Chapter 10 Huawei Machine Learning Development Tools
Chapter 11 Big Data Architecture and Governance
Chapter 12 Big Data Mining
Upon completion of this course, you will be able to:
1.Have a good command of data mining methods.
2.Use FusionInsight and MRS.
3.Use Spark MLlib.
PREREQUISITES
Be familiar with SQL basics
Be familiar with big data basics
Be familiar with basic operations on Linux operating systems
WHO SHOULD ATTEND
Those who hope to become big data mining engineers；
Those who hope to obtain an HCIE-Big Data-Data Mining certificate；
Expert of big data mining
TOPICS
Chapter 1 Data Mining
Chapter 2 Prerequisites
Chapter 3 Data Preprocessing
Chapter 4 Feature Selection and Dimension Reduction
Chapter 5 Supervised Learning
Chapter 6 Unsupervised Learning
Chapter 7 Model Evaluation and Optimization
Chapter 8 Comprehensive Application of Data Mining
Chapter 9 Data Mining Using Spark MLlib
Chapter 10 Huawei Machine Learning Development Tools
Chapter 11 Big Data Architecture and Governance
Chapter 12 Big Data Mining
