This excellent Machine Learning – Deep Learning & Computer Vision: An Introduction course will teach you the most cutting edge topics in Machine Learning. If you’re someone who works in analytics, or with big data, this Machine Learning – Deep Learning & Computer Vision: An Introduction course will show you how to design and implement a simple computer vision use-case and so much more. If you’re someone who needs to get to grips with machine learning, this course is for you, and it will help you to grasp the theory underlying both deep learning and computer vision.
Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.
Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.
Those who successfully pass this course will be awarded a Machine Learning – Deep Learning & Computer Vision: An Introduction certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.
Once you have completed this Machine Learning – Deep Learning & Computer Vision: An Introduction course you will have desirable skills. You could go on to further study of this topic, or could gain entry level employment in analytics or big data. These roles often command a high salary, for example, the average salary of a Data Scientist in the UK is £43,318, and this will go up with experience (payscale.com). When you complete this Machine Learning – Deep Learning & Computer Vision: An Introduction, you could fulfil any of the following roles:
Data Scientist
Big Data Specialist
Data Architect
Data Analyst
1: Introduction: You, This Course &Us! | |||
1. Introduction: You, This Course &Us! | |||
2: Artificial Neural Networks: Perceptrons Introduced | |||
2. Artificial Neural Networks: Perceptrons Introduced | |||
3: Computer Vision: an Introduction | |||
3. Computer Vision: An Introduction | |||
4: Perceptron Revisited | |||
4. Perceptron Revisited | |||
5: Deep Learning Networks: an Introduction | |||
5. Deep Learning Networks: An Introduction | |||
6: Installing Python: Anaconda & PIP | |||
6. Installing Python: Anaconda & Pip | |||
7: Code Along: Handwritten Digit Recognition – I | |||
7. Code Along: Handwritten Digit Recognition – I | |||
8: Code Along : Handwritten Digit Recognition – II | |||
8. Code Along: Handwritten Digit Recognition – II | |||
9: Code Along: Handwritten Digit Recognition – III | |||
9. Code Along: Handwritten Digit Recognition – III |