Developing & deploying AI & Machine Learning applications using python AI & ML frameworks
how to use most popular AI & ML frameworks: NumPy ,SciPy, Scikit-Learn, Matplotlib
How to use Jupyter/iPython notebook for interactive development
How to create multi-user notebook enviroment using JupyterHub
The demo covers following concepts:
- Machine Learning – Giving Computers the Ability to Learn from Data
- Training Machine Learning Algorithms for Classification
- A Tour of Machine Learning Classifiers Using Scikit-Learn
- Building Good Training Sets – Data Pre-Processing
- Compressing Data via Dimensionality Reduction
- Learning Best Practices for Model Evaluation & Hyperparameter Optimization
- Combining Different Models for Ensemble Learning
- Applying Machine Learning to Sentiment Analysis
- Embedding a Machine Learning Model into a Web Application
- Predicting Continuous Target Variables with Regression Analysis
- Working with Unlabeled Data – Clustering Analysis
- Implementing a Multi-layer Artificial Neural Network from Scratch
- Parallelizing Neural Network Training with TensorFlow
- Going Deeper: The Mechanics of TensorFlow
- Classifying Images with Deep Convolutional Neural Networks
- Modeling Sequential Data Using Recurrent Neural Networks
In addition to the preinstalled setup and demos, the VM also comes with:
- Jupyter notebook for web based interactive development
- JupyterHub for multiuser notebook environment to allow multiple users to simultaneously do development
- Remote desktop
- Visual studio code IDE
- Fish Shell
The VM is available on :
- Google Cloud Platform
- AWS
- Microsoft Azure
Who this course is for:
- Python developers who are intrested in learning Artificial Intelligence and Machine Learning
Can I download Python AI and Machine Learning for Production & Development course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Python AI and Machine Learning for Production & Development course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.