Machine Learning Fundamentals with BigQuery ML Training

About the Training

The Machine Learning Fundamentals with BigQuery ML Training enhances analytical capabilities. This training focuses on how to create and implement machine learning models using BigQuery ML. Participants will learn how to use machine learning algorithms to extract valuable insights from datasets. They will also explore basic machine learning tasks such as prediction, classification, and clustering. This exploration improves business intelligence and data analysis processes.

The training emphasizes model training and evaluation. Participants will learn how to prepare datasets and train models using BigQuery ML. This knowledge enhances model accuracy and improves prediction performance.

The integration of machine learning models is also covered in the training. Participants will learn how to integrate trained models into application and analysis processes. This knowledge supports automated decision-making and data-driven strategies.

Additionally, the training focuses on advanced features of BigQuery ML. Participants will learn how to apply advanced techniques such as time series analysis and deep learning models. These advanced techniques enable in-depth analysis of complex datasets.

The Machine Learning Fundamentals with BigQuery ML Training equips participants with practical skills. These skills help them develop effective machine learning solutions using BigQuery ML. The training provides in-depth expertise in model training, evaluation, integration, and advanced machine learning techniques. This enables participants to conduct effective machine learning analyses on large datasets.

In conclusion, this training offers comprehensive knowledge of BigQuery ML and machine learning fundamentals. Participants will specialize in data analysis, model training, and machine learning applications. By the end of the training, participants will have the skills to derive data-driven insights and automate business processes. These skills will greatly contribute to their professional development.

What Will You Learn?

  • Fundamental Concepts of BigQuery ML
  • Creating Machine Learning Models with SQL
  • Classification, Regression, and Other ML Models
  • Model Training and Evaluation
  • Integration of BigQuery and ML Models
  • Data Preparation for Machine Learning Projects
  • Model Optimization and Performance Improvements
  • Real-World Applications and Case Studies

Prerequisites

  • Basic knowledge of SQL and familiarity with database concepts
  • Basic understanding of data analysis and business intelligence
  • Introductory knowledge of machine learning (preferably)

Who Should Attend?

  • Veri analistleri ve veri bilimcileri
  • SQL bilgisini makine öğrenmesi uygulamalarıyla genişletmek isteyen profesyoneller
  • Makine öğrenmesine yeni başlayan veya ilgisi olan bireyler
  • Veri odaklı çözümler geliştirmek isteyen iş analistleri ve yöneticiler

Outline

Introduction to BigQuery ML
  • Fundamentals and Usage of BigQuery ML
  • A SQL Perspective on Machine Learning
Creating Machine Learning Models
  • Model Creation and Training with SQL
  • Classification and Regression Models
Model Training and Evaluation
  • Assessing Model Performance
  • Error Analysis and Model Improvements
Integration of BigQuery and ML Models
  • Preparing and Processing Datasets
  • Integrated Machine Learning Solutions
Data Preparation in Machine Learning Projects
  • Data Cleaning and Preparation Techniques
  • Optimization of Datasets
Model Optimization and Performance
  • Model Parameter Tuning
  • Performance Improvement Strategies
Real-World Applications and Case Studies
  • Industry-Specific Machine Learning Applications
  • Lessons Learned and Tips from Real Project

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