Learning Without Limits

Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow

Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow

Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow

Learn Numpy Python and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.

Master Data Science and Machine Learning with Python: From Fundamentals to Practical Projects

Build 30+ ML Projects in 30 Days in AWS, Master JumpStart, Canvas, AutoPilot, Data Wrangler, Lambda, GroundTruth, & S3

Build 30+ ML Projects in 30 Days in AWS, Master SageMaker JumpStart, Canvas, AutoPilot, DataWrangler, Lambda & S3

The math you will need for your machine learning journey.

Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. Increased productivity in software engineering relies on the creation of new adaptive, scalable tools that can analyse large and continuously changing software systems. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis.

Machine Learning, Natural Language Processing, Computer Vision, Adversarial Learning, Neural Networks, NLP