IBM Online Course: As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. .the IBM criteria and IBM application form given, IBM Course further given below in the article.
So, International Business Machines Corporation (IBM) an American multinational technology company headquartered in Armonk, New York, with operations in over 170 countries. The company began in 1911, founded in Endicott, New York, as the Computing-Tabulating-Recording Company (CTR), and was renamed “International Business Machines” in 1924. IBM incorporated in New York.
IBM Online Course:
Skills you will gain
- Data Science
- Internet Of Things (IOT)
- Deep Learning
- Apache Spark
- Machine Learning
- Long Short-Term Memory (ISTM)
There are 4 Courses in this Specialization
- Fundamentals of Scalable Data Science: Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models.
- Advanced Machine Learning and Signal Processing: This course; Advanced Machine Learning and Signal Processing, part of the IBM Advanced Data Science Specialization which IBM; currently creating and gives you easy access to invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines.
- Applied AI with Deep Learning: This course; Applied Artificial Intelligence with DeepLearning; part of the IBM Advanced Data Science Certificate which IBM currently creating and gives you easy access to invaluable insights into Deep Learning; models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines.
- Advanced Data Science Capstone: This project completer has proven a deep understanding; of massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning; and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms; frameworks and technologies and how they impact model performance and scalability.
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