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.
Visit the Private Training page to learn more about Arcitura’s worldwide private workshop delivery options.
Taking the Course via an eLearning Study Kit
This course can be completed via self-study by purchasing an eLearning study kit subscription, which includes online video lessons, as well as online and offline access to the electronic course materials and additional supplements and resources designed for self-paced study and exam preparation.
Visit the eLearning Study Kits page for more information about full-color printed study kits.
Visit the Digital Transformation online store for purchasing information.
Taking the Course via a Printed Study Kit
This course can be completed via self-study by purchasing a printed study kit, which includes the full-color course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.
Visit the Printed Study Kits page for more information about full-color printed study kits.
Visit the Digital Transformation online store for purchasing information.
Certifications
This course is part of the following certification track(s):
– Digital Transformation Data Scientist