...
Full Bio
Today's Technology-Data Science
258 days ago
How to build effective machine learning models?
258 days ago
Why Robotic Process Automation Is Good For Your Business?
258 days ago
IoT-Advantages, Disadvantages, and Future
259 days ago
Look Artificial Intelligence from a career perspective
259 days ago
Every Programmer should strive for reading these 5 books
578514 views
Why you should not become a Programmer or not learn Programming Language?
237039 views
See the Salaries if you are willing to get a Job in Programming Languages without a degree?
151803 views
Highest Paid Programming Languages With Highest Market Demand
136650 views
Have a look of some Top Programming Languages used in PubG
132828 views
Courses to prefer while choosing Machine Learning as your career
- The difference between the two main types of machine learning methods: supervised and unsupervised
- Supervised learning algorithms, including classification and regression
- Unsupervised learning algorithms, including Clustering and Dimensionality Reduction
- How statistical modeling relates to machine learning and how to compare them
- Real-life examples of the different ways machine learning affects society
- The basics of machine learning
- How to perform cross-validation to avoid overtraining
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful?
- By the end of this course, students will be able to:
- Distinguish between quantum computing paradigms relevant for machine learning
- Assess expectations for quantum devices on various time scales
- Identify opportunities in machine learning for using quantum resources