This course delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.
The following primary topics are covered:
– Data Exploration Patterns
– Central Tendency Computation, Variability Computation
– Associativity Computation, Graphical Summary Computation
– Data Reduction Patterns
– Feature Selection, Feature Extraction
– Data Wrangling Patterns
– Feature Imputation, Feature Encoding
– Feature Discretization, Feature Standardization
– Supervised Learning Patterns
– Numerical Prediction, Category Prediction
– Unsupervised Learning Patterns
– Category Discovery, Pattern Discovery
– Model Evaluation Patterns, Baseline Modeling
– Training Performance Evaluation, Prediction Performance Evaluation
– Model Optimization Patterns
– Ensemble Learning, Frequent Model Retraining
– Lightweight Model Implementation, Incremental Model Learning
Duration: 1 Day
Taking the Course at a Workshop
This course can be taken as part of instructor-led workshops taught by Arcitura Certified Trainers. These workshops can be open for public registration or delivered privately for a specific organization. Certified Trainers can teach workshops in-person at a specific location or virtually using a video-enabled remote system, such as WebEx. Visit the Workshop Calendar page to view the current calendar of public workshops or visit the Private Training page to learn more about Arcitura’s worldwide private workshop delivery options.
Below are the base materials provided to public and private workshop participants:
Note that as a workshop participant, you may be eligible for discounts on the purchase of the Study Kit for this course.
Taking the Course using a Study Kit
This course can be completed via self-study by purchasing a Study Kit, which includes the base course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.
Visit the Machine Learning Module 2 Study Kit page for pricing information and for details. Also, visit the Study Kits Overview page for information regarding discounted Certification Study Kit Bundles for individual certification tracks.
The following materials are provided in the Study Kit for this course:
Taking the Course using an eLearning Study Kit
This course can be completed via self-study by purchasing an eLearning Study Kit subscription, which includes online and offline (download) access to the base course materials as well as additional supplements and resources designed for self-paced study and exam preparation.
Visit the Machine Learning Module 2 eLearning Study Kit page for pricing information and details. Also, visit the eLearning Study Kits Overview page for information regarding discounted Certification eLearning Study Kit Bundles for individual certification tracks.
This eLearning Study Kit provides access to the following materials:
Study Kits and Study Bundles can be purchased using the online store. By purchasing and registering this Study Kit, you may be eligible for discounts on the registration of this course as part of a public workshop.
Download a printable PDF document with information about this course module and its corresponding Study Kit.