• Learn PyTorch for implementing cutting-edge deep learning algorithms.
• Train your neural networks for higher speed and flexibility and learn how to implement them in various...

• Get a hands-on, fast-paced introduction to the Python data science stack
• Explore ways to create useful metrics and statistics from...

• Use Python and its wide array of machine learning libraries to build predictive models
• Learn the basics of the 7 most widely used machine learning algorithms within a week
• Know...

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

• Explore Tkinter's powerful features to easily design and customize your GUI application
• Learn the basics of 2D and 3D animation...

• Perform complex bioinformatics analysis using the most important Python libraries and applications
• Implement next-generation sequencing,...

• Use the power of Pandas and Matplotlib to easily solve data mining issues
• Understand the basics of statistics to build powerful predictive data...

• AI-based examples to guide you in designing and implementing machine intelligence
• Develop your own method for future AI solutions
• Acquire advanced AI, machine learning, and...

Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness,...