Statistics for AI/ML - Module 2 Training Logo

Statistics for AI/ML - Module 2 Training

Live Online & Classroom Enterprise Certification Training

This module delves into probability distributions, hypothesis testing, regression analysis, and statistical inference. Learn to preprocess and transform data, and apply statistical methods to AI/ML problems. Equip yourself with essential tools for effective data analysis and model building. Enhance your expertise in AI and ML.

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What is Statistics for AI/ML - Module 2 Course about?

This module deepens your understanding of critical statistical concepts for AI and ML applications. It covers:

  • Probability Distributions: Types, properties, and real-world applications.
  • Hypothesis Testing: Formulating and testing hypotheses with statistical tests.
  • Regression Analysis: Techniques for identifying relationships and making predictions.
  • Statistical Inference: Drawing conclusions from sample data.
  • Data Preprocessing and Transformation: Preparing and transforming data to improve model performance.

By mastering these topics, you'll be equipped to handle complex AI and ML challenges, enhancing your data analysis and model-building skills.

What are the objectives of Statistics for AI/ML - Module 2 Course ?

  • Understand and apply probability distributions to model data.
  • Formulate and test hypotheses using various statistical tests.
  • Perform regression analysis to identify relationships and make predictions.
  • Draw reliable inferences from sample data.
  • Preprocess and transform data to enhance model performance.

    • Who is Statistics for AI/ML - Module 2 Course for?

  • Data Scientists: Seeking to strengthen statistical foundations for AI and ML applications.
  • AI/ML Engineers: Wanting to deepen their understanding of statistical methods for model development.
  • Researchers: Interested in applying advanced statistical techniques to their research in AI and ML.
  • Professionals: Involved in data analysis and model building, aiming to enhance their skills in statistical inference and hypothesis testing.

    • What are the prerequisites for Statistics for AI/ML - Module 2 Course?

  • Basic Knowledge of Statistics: Understanding of concepts like mean, median, variance, and probability.
  • Familiarity with AI/ML Concepts: Awareness of machine learning algorithms and their applications.
  • Programming Skills: Proficiency in a programming language such as Python for data manipulation and analysis.

    • Available Training Modes

    Live Online Training

    3 Days

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    Who is the instructor for this training?

    The trainer for this Statistics for AI/ML - Module 2 Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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