SONAR© Onboarding + Education Services
We’ll craft a personalized 30-day onboarding plan to ensure we’re aligning the best practices and best support to the problems you are looking to solve. Our seasoned team of data science engineers have worked tirelessly to develop our proprietary onboarding framework to simplify the adoption of machine learning. And it works!
Over 90% of Customers Build and Deploy a Model within 30 days
The startup support provided by the BigSquid product team was a great asset as we got our first Kraken project started. Kraken provides an intuitive user interface and the learning curve is as flat as any product I have used. In a matter of a few weeks, we were able to deliver prediction results and provide meaningful data to front line staff.
See What SONAR© Onboarding is All About
Translating business problems into questions that can be solved with machine learning is an art. But our ML framework will have you tackling high-impact ML problems in no time.
- Our proprietary Machine Learning Question Framework
- Dataset Design for Machine Learning
- Concept of Time in Machine Learning
- Engineering Meaningful Features
- Algorithms 101
- Model Validation
- Prediction Influencers
We’ll walk you through everything you need to know about the Kraken platform to be a true citizen data scientist.
- Data Exploration and ML Pipelines
- Kraken Data Preprocessing
- Model Scoring & Iteration
- Understanding Feature Importance
- Hyperparameter Tuning
- Using Prediction Sync & API
- Building Actionalable Scenarios
No learning experience is effective without being applied to the situations that you encounter daily. We’ll set aside workshop time in every call to ensure you can successfully apply these concepts:
- ML Roadmap Planning
- Exploratory Data Analysis
- Dataset Design Review
- Advanced Feature Engineering
- Threshold Optimization
- Holdout Analysis
- Implementing an AI Adoption Plan
define a question for machine learning
Translating business problems into questions that can be solved with machine learning is an art. We’ll teach you the four key ingredients to asking questions that machine learning can solve.
machine learning framework
With the four key ingredients to machine learning at the ready, we’ll show you how to apply these ingredients to a repeatable framework to help you develop a machine learning dataset quickly.
Mastering Kraken by Big squid
You’ll master key concepts within Kraken including organization best practices, data connectivity, exploring your data with Kraken, building ML models, interpreting results, managing model iterations with version control, and model deployment strategies.
Developing datasets for machine learning involves the same skills you apply to traditional data analytics solutions. You’ll learn how to apply those skills to developing ML ready datasets including applications in feature engineering, EDA and feature discovery, and data leakage.
model scoring and iteration
Kraken makes it easy to build machine learning models, but rarely does your first version score well. You’ll learn about different algorithms, model metrics and model scores — and how to effectively iterate on your models to reach a deployable state for your model.
Using prediction influencers
The Prediction Influencers Kraken associates with each feature in your dataset takes interpretability and actionability to a whole new level. Learn how to visualize and apply Prediction Influencers to derive highly actionable insights for your business.
Digital SONAR© Education
What’s as powerful as a seasoned onboarding team coaching you through your first machine learning problems? Educational content available on demand 24/7. Access the magic of SONAR© Onboarding materials through our ever-growing Knowledge Base to ensure you have the answers you need when you need them.
90% of Kraken users build and deploy their own machine learning model within 30 days of signup.
Same day access, no credit card required