Become a certified data master with our live, online, instructor-led training. We use live code, real-world data sets and Jupyter notebooks so our instructors can help you with your models in real time.

Pragmatic Data Curriculum

     Data Visualization      AI with TensorFlow      Advanced Machine Learning      Practical Machine Learning      Essential Tools

Advanced Machine Learning

Advanced Machine Learning offers a deeper understanding of machine learning techniques and practices. It will expand your knowledge of advanced modeling methods like ensemble models, exemplified by random forests and boosted decision trees. 

Under the guidance of our expert instructors, you'll practice a broader view of handling data and models, from feature engineering to model evaluation. Our Jupyter notebooks make it easy for our instructors to monitor and guide your progress while you're learning how to handle unstructured data using natural language processing. 

Business Benefits

Machine learning allows you to predict the future and understand the expansive amount of data you collect on a regular basis. The advanced skills taught in this class will give you the ability to provide new insights into your organization and products which will help improve revenue, reduce costs, create new opportunities, identify new ideas, improve the customer experience and more. Help your company become more data-driven with Advanced Machine Learning

Throughout the course, you'll work on a variety of individual projects designed to test your mastery of the topics covered. This course provides you with a place to work with real data sets to practice, develop, debug and deploy your newfound knowledge. 

At the end of this course, you'll be able to build and manage more complex machine learning systems, and leverage the power of unstructured textual data to solve pressing business needs. 

Advanced Machine Learning is available as a 4-week, online course, and for private onsite training. 

Download a copy of the syllabus to convince your manager the importance of this course

 Who Should Attend

Software or data engineers who want to gain hands-on experiences applying machine learning techniques to real-world datasets. 

 Key Skills Covered

NumPy, SciPy, Pandas, probability, anomaly detection, recommendation engines, classification, transformers, preprocessing, unsupervised learning, decision trees

 Prerequisites

To achieve the greatest benefit from this course, attendees must take Essential Data Tools and Practical Machine Learning, or possess the following skills prior to attending:

  • Intermediate Python
  • Basic linear algebra
  • Basic machine learning
  • Familiarity with scikit-learn and numpy libraries

Not sure if this is the right course for you? Take our self-assessment and see where you should begin your data science journey with Pragmatic Institute.

Take Assessment

Earn a coveted data science certification upon successful completion of class project
What You'll Learn

Get hands-on experience with advanced machine learning techniques that can be used as soon as the course is finished. Download the technical brief.

Explore more advanced machine learning models.
  • Review machine learning basics and scikit-learn syntax
  • Understand how decision trees make predictions and choose appropriate hyperparameters
  • Combine individual models to create more powerful ensemble models
  • Apply these ensemble techniques to create the extremely useful random forest model
  • Increase the fitting power of models with residual fitting, leading to boosted decision trees
    Dive into more advanced models and examine data handling for machine learning.
    • Learn about the basics of neural networks
    • Alter data with feature engineering to improve model performance
    • Create pipelines to streamline data handling
    • Use imputation to fill in gaps in messy, real-world data

      Evaluate models and learn techniques for handling human language.

      • Examine different metrics for comparing models and monitoring their performance
      • Save models for later use and record the details for their construction
      • Convert written text to features amenable to machine learning
      • Perform language-specific feature engineering

      Apply your new knowledge of natural language processing.

      • Classify documents and predict values based on descriptions
      • Group documents together based on their topics
      • Explore different word embeddings to empower your models with more language context

      Ready to take on the future of data?

      Pricing

      Online Training
      $1,495 USD
      For the Online Course


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