IBM
IBM AI Enterprise Workflow Specialization

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IBM

IBM AI Enterprise Workflow Specialization

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

8,508 already enrolled

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Get in-depth knowledge of a subject
4.4

(210 reviews)

Advanced level
Designed for those already in the industry
2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(210 reviews)

Advanced level
Designed for those already in the industry
2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 6 course series

What you'll learn

Skills you'll gain

Category: Design Thinking
Category: Python Programming
Category: Data Quality
Category: Business Priorities
Category: Data Validation
Category: Data Science
Category: Workflow Management
Category: IBM Cloud
Category: NumPy
Category: Data Pipelines
Category: Artificial Intelligence
Category: Data Processing
Category: Strategic Thinking
Category: Machine Learning

What you'll learn

Skills you'll gain

Category: Exploratory Data Analysis
Category: Data Manipulation
Category: Probability & Statistics
Category: Jupyter
Category: Statistical Analysis
Category: Statistical Inference
Category: Matplotlib
Category: Statistical Hypothesis Testing
Category: Probability Distribution
Category: Python Programming
Category: Data Cleansing
Category: Data Analysis
Category: Statistics
Category: Pandas (Python Package)
Category: Data Science
Category: Dashboard
Category: Machine Learning

What you'll learn

Skills you'll gain

Category: Dimensionality Reduction
Category: Anomaly Detection
Category: Feature Engineering
Category: Exploratory Data Analysis
Category: Python Programming
Category: Machine Learning
Category: Applied Machine Learning
Category: Unsupervised Learning
Category: Data Validation
Category: Quality Assurance
Category: Machine Learning Algorithms
Category: Data Science
Category: Data Ethics
Category: Data Visualization
Category: Data Transformation
Category: Natural Language Processing
Category: Text Mining

What you'll learn

Skills you'll gain

Category: Scikit Learn (Machine Learning Library)
Category: Supervised Learning
Category: Natural Language Processing
Category: Deep Learning
Category: Decision Tree Learning
Category: Python Programming
Category: Regression Analysis
Category: Predictive Modeling
Category: Classification And Regression Tree (CART)
Category: IBM Cloud
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Applied Machine Learning
Category: Artificial Neural Networks
Category: Tensorflow
Category: Data Science
Category: Image Analysis
Category: Random Forest Algorithm
Category: Feature Engineering
Category: Artificial Intelligence and Machine Learning (AI/ML)

What you'll learn

Skills you'll gain

Category: Apache Spark
Category: Python Programming
Category: IBM Cloud
Category: MLOps (Machine Learning Operations)
Category: Containerization
Category: PySpark
Category: Data Science
Category: Performance Tuning
Category: Application Deployment
Category: Scalability
Category: Machine Learning
Category: Data Pipelines

What you'll learn

Skills you'll gain

Category: Business Metrics
Category: Unit Testing
Category: Data Science
Category: Time Series Analysis and Forecasting
Category: Performance Analysis
Category: Python Programming
Category: Continuous Monitoring
Category: IBM Cloud
Category: Machine Learning
Category: Containerization
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Design Thinking
Category: Application Deployment
Category: Workflow Management

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Instructors

Mark J Grover
13 Courses139,303 learners
Ray Lopez, Ph.D.
7 Courses35,134 learners

Offered by

IBM

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