News

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.
Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...
Machine learning and artificial intelligence have dozens of use cases that IT professionals and casual users alike will need to master. This 35-hour training course gets you started for $29.99 ...
Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.
Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.
Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).