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Hakka

IT School

machine learning

Optimization methods in ML

OBJECTIVE: To understand the various optimization techniques underlying the machine learning methods that have become so popular in real-world applications

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Data Science for calculating LTV

Data Science for calculating LTV

Let’s discuss the concept of statistical significance, and make LTV predictions using statistical methods. We’ll discuss when it’s not enough

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Data Engineering

You’ll study in detail all the stages of data processing and disassemble the necessary tools to work with them, learn

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Ok, Data!

Working with data is no longer the domain of giants, but a necessity for any successful business. Any manager must know how to get value out of data. After the course you will be able to write simple SQL queries, compile reports in Power BI, or make a prototype DS project and then join a large team.

Who needs a course?

We'll understand what types of data exist and why they are important to the project. Learn where you can get data, both inside and outside of your project (what data sources exist.) Consider what types of Data Science exist. Compare Data Engineer and Data Analyst positions and learn their main differences, and where their area of responsibility ends and the manager's job begins. We'll conduct a workshop on preparing data for model training using e-commerce as an example.

DataOps Engineer

DataOps Engineer

DataOps Engineer is a profession of the future, for which there is already a huge demand and shortage of specialists.

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Spark Developer

Spark Developer

An in-depth course on the most powerful big data tools. Who this course is for:The course is designed for Data

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Machine Learning

Machine Learning

Learn from real datasets and practice building complete data pipelinesA creative atmosphere and close collaboration with Data Science experts awaits

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Hakka IT School

New Features for Administrators course introduces administrators to new or enhanced features and options. The course consists of two parts. The second part of the course presents five modules : security, data availability, sectioning, data information lifecycle, database operations execution monitoring, performance management.

The program :

  • Unified Auditing – Universal Unified Auditing
  • New privileges to control data access
  • Privilege analysis
  • Data Redaction – masking/hiding data
  • New features to ensure high availability of data
  • Online moving of data files
  • Improvement and development of Flashback Data Archive option
  • Enhancements in Recovery Manager to provide high availability of data
  • Improvements in sectioning
  • Heat Map and Automatic Data Optimization – automatic optimization of data lifecycle maintenance
  • Real-Time Database Operation – monitoring of operations execution
  • New options to increase SQL command performance: Database In-Memory, Full Database In-Memory Caching, Automatic Big Table Caching.
  • New options of optimizer: Adaptive Execution Plans, SQL Plan Directives, new types of histograms, extended statistics, Adaptive SQL Plan Management
  • Real-Time ADDM
  • Compare Period ADDM
  • Improvement of Real Application Testing option
  • Other improvements in database performance tuning

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Solution engineering involves the process of designing and developing comprehensive solutions to address complex problems or challenges faced by businesses or organizations. This interdisciplinary approach combines elements of engineering, technology, and creativity to create effective and innovative solutions that meet specific needs and objectives.

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