Programming Languages Training

Programming Languages Training

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402-APoLLo
English | Size: 1.60 GB
Category: Tutorial

Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you’ll like best. Discover how to build your own recommender systems from one of the pioneers in the field. Frank Kane spent over nine years at Amazon, where he led the development of many of the company’s personalized product recommendation technologies. In this course, he covers recommendation algorithms based on neighborhood-based collaborative filtering and more modern techniques, including matrix factorization and even deep learning with artificial neural networks. Along the way, you can learn from Frank’s extensive industry experience and understand the real-world challenges of applying these algorithms at a large scale with real-world data. You can also go hands-on, developing your own framework to test algorithms and building your own neural networks using technologies like Amazon DSSTNE, AWS SageMaker, and TensorFlow.

Packt – Learning the FOSS4G Stack Python for Geospatial

Packt – Learning the FOSS4G Stack Python for Geospatial-XQZT
English | Size: 822.92 MB
Category: Tutorial

If you work in the field of GIS, you’ve probably heard everyone talking about Python, whether it’s Arcpy in ArcGIS or special Python packages for geocoding. In this course, you’ll learn how to write Python code to perform spatial analysis. The course focuses primarily on integrating different spatial libraries within your Python code. With the help of videos, you’ll see how you can solve spatial problems by blending Python code with various packages.

Udemy – Coding for beginners with Python

Udemy – Coding for beginners with Python
English | Size: 415.87 MB
Category: Tutorial

Python is a very popular and powerful programming language.Python is versatile and can be fun to use in creating powerful and useful applications. Python can be used to create a variety of applications types from games, web applications,desktop applications. Python is also very prominently used in data science and data analysis.