Inspector machine parts education requirements

1. Machine Learning Engineering for Production (MLOps)

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.\n\nEffectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and...

2. Machine Learning with PySpark: Customer Churn Analysis

This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This guided-project covers a range of essential tasks, including data loading, exploratory data analysis, data preprocessing, feature preparation, model training, evaluation, and deployment, all using Pyspark. We are going to use our machine...

3. CNC Milling machine programming using G-Code

4.7

(331)

Learning to read and write CNC programs with FANUC G Code has never been so easy...

4. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

Building, Deploying, and Managing Machine Learning Services at Scale...

5. Introduction to Mechanical Engineering Design and Manufacturing with Fusion 360

Design for manufacturing is the process of designing parts, components, or products with the understanding surrounding design requirements for a specific manufacturing method. This course explores the design for manufacture workflow and shows how to validate models and create the G code, the programming language needed to instruct the CNC machine on how to move. We practice the basics of part and assembly design, and tools such as animation, rendering, and simulations using Autodesk Fusion 360...

6. Build your first Machine Learning Pipeline using Dataiku

As part of this guided project, you shall build your first Machine Learning Pipeline using DataIku tool without writing a single line of code. You shall build a prediction model which inputs COVID daily count data across the world and predict COVID fatalities.DataIku tool is a low code no code platform which is gaining traction with citizen data scientist to quickly build and deploy their models...

7. OpenAPI Specification & Swagger Tools - Zero To Master

4.6

(524)

Document, Mock, Test APIs using Open API specification & Swagger Tools. Generate code from Open API. Based on OAS 3 ver...

8. The Complete Machine Learning Course with Python

4.5

(6,881)

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

9. Machine Learning with Javascript

4.7

(3,132)

Master Machine Learning from scratch using Javascript and Tensorflow JS with hands-on projects...

10. Executive Briefing: Machine Learning

4.1

(5,211)

Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

11. Deployment of Machine Learning Models

4.5

(4,961)

Learn how to integrate robust and reliable Machine Learning Pipelines in Production...

12. Fusion 360 CAD/CAM for CNC routers

4.5

(397)

Make any part using your CNC router with Fusion 360...

13. Machine Learning for Data Analysis: Data Profiling & QA

4.6

(3,130)

Machine Learning made simple with Excel! Learn data profiling for advanced analysis & business intelligence (no coding!)...

14. Quantum Computing and Quantum Machine Learning - Part 1

4.3

(295)

Foundational Course for Quantum Computing and Quantum Machine Learning...

15. Introduction to CNC Programming

4.5

(1,678)

Learn to program CNC Routers and CNC Milling machines that use the GCODE language...

16. AWS Certified Machine Learning Specialty 2023 - Hands On!

4.6

(10,643)

AWS machine learning certification preparation - learn Sage Maker, generative AI, data engineering, modeling & more...

17. An Introduction to Machine Learning for Data Engineers

4.4

(3,291)

A Prerequisite for Tensorflow on Google's Cloud Platform for Data Engineers...

18. Machine Learning Classification Bootcamp in Python

4.5

(934)

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn...

19. Machine Learning for Data Analysis: Unsupervised Learning

4.8

(282)

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence...