Numerical Computing Courses and Certifications

The Julia Programming Language

Tricks and Tips in Numerical Computing - Keynote

Explore advanced numerical computing techniques, from complex differentiation to low-precision arithmetic, with insights on error analysis, matrix operations, and IEEE standards for improved computational accuracy and efficiency.

• YouTube
• 56 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Correct Answers: Who Needs Them? A Story of Numerical Computing

Explore the evolution of numerical computing, from rocket trajectories to modern sensor processing, examining algorithm validation, open-source development, and the balance between accuracy and rapid innovation.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Numerical Computing: Advanced Techniques: Wolfram U Lesson

Explore advanced numeric techniques in Wolfram Language, including function combinations, precision control, and performance optimization for experienced users.

• Wolfram U
• 33 minutes
• On-Demand
• Free Online Course

Meeting Cpp

Floating Point Computations Today and in the Future

Explore floating-point computations, IEEE 754 standard, data compression techniques, POSIT arithmetic, and C++ libraries. Gain insights into deep learning and alternative FP formats.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

JuliaHub

Modeling and Simulation with JuliaSim

Discover how JuliaSim accelerates physical product development through advanced modeling, optimization, and simulation capabilities, featuring ModelingToolkit.jl and innovative solver improvements.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Introduction to Numerical Computing with NumPy - SciPy 2019 Tutorial

1 review

Learn NumPy's powerful array processing capabilities, including array syntax, indexing, mathematical functions, and custom routines. Gain practical skills through hands-on examples and visualize results using matplotlib.

• YouTube
• 2 hours 16 minutes
• On-Demand
• Free Video

Fields Institute

Diffrax - Numerical Differential Equation Solvers in JAX

Explore numerical differential equation solvers in JAX with Diffrax, covering implementation, features, and applications in machine learning and dynamical systems.

• YouTube
• 24 minutes
• On-Demand
• Free Video

code::dive conference

Portable Floating Point Calculations - Cross-Platform Implementation Strategies

Dive into cross-platform floating point calculation challenges and solutions, exploring critical implementations for games and audio development with practical approaches to achieve portability.

• YouTube
• 46 minutes
• On-Demand
• Free Video

JuliaHub

Understanding Floating Point Numbers in Computer Programming

Dive into the fundamentals of floating point numbers, mastering storage mechanics, rounding errors, and debugging techniques for achieving numerical accuracy in programming.

• YouTube
• 54 minutes
• On-Demand
• Free Video

OpenSSF

Secure Numerical Computing is Hard: Lessons from 10 Years of Open Data Science and the Long Road Ahead

Explore key security challenges and lessons learned from a decade of open data science, focusing on enterprise adoption of ML/AI technologies and emerging threats in numerical computing.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Introduction to TensorFlow Basics

Master TensorFlow fundamentals through hands-on practice with tensors, neural networks, and data processing. Build practical skills in tensor operations, shape manipulation, and creating basic neural network architectures.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

NumPy and Pandas Basics for Future Data Scientists

12 ratings at Coursera

Master NumPy and pandas libraries for efficient data manipulation, from basic array operations to advanced techniques like broadcasting, reshaping, sorting, and joining arrays for numerical computing and data science.

• Coursera
• 19 hours 2 minutes
• On-Demand
• Paid Course

Numpy For Data Science - Real Time Coding Exercises

440 ratings at Udemy

Comprehensive guide to mastering Numpy for efficient numerical computations in Python. Covers arrays, functions, indexing, and real-time exercises to enhance data science skills.

• Udemy
• 2 hours 35 minutes
• On-Demand
• Paid Course

Julia Programming Language - From Zero to Expert

278 ratings at Udemy

Learn the Next Gen Language for Data Science, Machine Learning and Numerical Computing

• Udemy
• 4 hours
• On-Demand
• Paid Course

Centre International de Rencontres Mathématiques

Numerical Analysis and Scientific Computing

Explore advanced computational methods, numerical algorithms, and mathematical modeling techniques for solving complex scientific problems across multiple disciplines.

• YouTube
• 1 week 2 days 23 hours 43 minutes
• On-Demand
• Free Video