Search result for Big data training course Online Courses & Certifications
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Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
Approx. 8 hours to complete
Course Introduction Sorting: functions and data Rules for AI: training and constraints Mirrors: training models with real data...
Big Data for Managers
by Ganapathi Devappa- 4.4
3.5 hours on-demand video
A foundation course for big data that covers the big data tools for various stages of a big data project This course covers the required fundamentals about big data technology that will help you confidently lead a big data project in your organization. You will be able to choose the right tool for each stage of the big data solution....
$12.99
Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
Approx. 12 hours to complete
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. Getting Started and Big Data Opportunities Course Introduction Big Data Overview Big Data Limitations Big Data Limitations Overview Big Data Limitations Define and discuss big data opportunities and limitations....
Big Data Analytical Platform on Alibaba Cloud
by Derek Meng- 4.5
Approx. 8 hours to complete
This course is designed to teach engineers how to use Alibaba Cloud Big Data products. Alibaba Cloud Big Data - Data Integration: https://edu. Big Data on Alibaba's Double 11 Introduction to Hadoop in Big Data Ecosystem Big Data Product Overview Eight Things You Should Know about Big Data Big Data Application: Technical Architecture of a Big Data Platform...
Production Machine Learning Systems
by Google Cloud Training- 4.6
Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Welcome to the course The Components of an ML System: Data Transformation + Trainer Training Design Decisions Lab Intro: Structured data prediction using AI Platform Ingesting data for Cloud-based analytics and ML...
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Course Materials Features from Categorical Data Features from Temporal Data Introduction to Training and Testing Review: Classification and Training...
Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
Approx. 10 hours to complete
Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses....
Systems and Application Security
by (ISC)² Education & Training- 4.8
Approx. 17 hours to complete
Explain the process for securing big data systems Secure Big Data Systems & Operate and Secure Virtual Environments Secure Big data Systems: Big Data Secure Big Data Systems: Interpreting Big Data Secure Big data Systems: Key Challenges Secure Big Data Systems: Big Data Secure Big Data Systems: Interpreting Big Data Secure Big data Systems: Key Challenges...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
Approx. 20 hours to complete
Week 1: Collecting, Labeling, and Validating data Week 3: Data Journey and Data Storage Importance of Data Data and Concept Change in Production ML Detecting Data Issues TensorFlow Data Validation Data Collection Data Labeling Issues in Training Data Preprocessing Data at Scale Week 3: Data Journey and Data Storage Data Journey...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
Approx. 20 hours to complete
This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. Data Structure Terminology Data Quality Issues Data Sources Guidelines for Using Visualizations to Analyze Data Guidelines for Preparing Training and Testing Data...