Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Limitations of RL
This video explains the limitations of RL. This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the motivation and applications.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Optimization
In this video, we will cover optimization. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Underfitting vs Overfitting
In this video, we will understand two different types of optimizations, which are underfitting and overfitting. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Course
In this video, we will get introduced to course learning objectives. This clip is from the chapter "Introduction" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".Welcome to the course. In this first...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Contour Plot
In this video, we will cover Matplotlib contour plot. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Derivatives
In this video, we will cover vector derivatives. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Introduction to Mathematical Foundation of Feature Selection
In this video, we will cover an introduction to mathematical foundation of feature selection. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
APMonitor
Solve Linear Equations with Excel
Excel MMULT and MINVERSE functions are used to solve systems of linear equations such as A * x = b by inverting A and multiplying by the right hand side (x = A^-1 * b).
APMonitor
Solve Linear Equations with MATLAB
MATLAB is used to solve a set of linear equations (Ax=b) by inverting the matrix A and multiplying by the b vector. Three ways to solve A*x=b are: x = inv(A)*b % good x = A\b % better x = linsolve(A,b) % best See...
Curated Video
High Performance Scientific Computing with C 1.2: Introduction – Why Use Computers for Math?
Why is the history of computation so tied with mathematics? How are computers used today to solve mathematical problems? • Understand the need for computers to solve mathematical problems • Understand the problems for which computers are...
APMonitor
Python Basic Statistical Analysis
Python statistical functions such as average, maximum, minimum, standard deviation, and custom counting are demonstrated in an iPython notebook.
APMonitor
Data Analysis with Python for Excel Users
A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant...
APMonitor
Raoult's Law Vapor Liquid Equilibrium Solved with Excel
Microsoft Excel is used to calculate the liquid mole fraction and temperature of a mixture, using Raoult's law for vapor-liquid equilibrium. Excel solver is used to solve for 2 equations and 2 unknowns.
APMonitor
Generate Poisson Distribution and Histogram in Excel
Powerful statistical analysis tools are available in the Excel is add-in data analysis package. This is an example of generating a randomly sampled Poisson distribution (1000 values) and plotting the frequency of the result.
APMonitor
Euler's Method for ODEs in Excel
Euler's method can be used to simulate and optimize differential equations in Excel. This tutorial demonstrates the steps to set up the simulation and then match the response to data.
APMonitor
Microsoft Excel Solver for Engineering Optimization
Excel Solver is a powerful tool for engineering optimization. This tutorial shows how to solve a simple benchmark problem with an objective function, inequality constraint, and an equality constraint.
APMonitor
Arduino TCLab for Engineering Education
The Temperature Control Lab is a plug-and-play Arduino device to teach programming, heat transfer, machine learning, data science, process dynamics, and control with real data. Two heaters and an LED are adjusted with MATLAB or Python....
APMonitor
Introduction to Python Classes
Python classes are collections of variables and functions. Instances of the class can be initialized and customized to store properties, data, or use methods that belong to the class and instance. The tutorial concludes with an example...
APMonitor
Loops in Python
Loops such as "for" and "while" in Python are blocks of code that repeat a sequence of commands. They can be repeated a set number of times or repeatedly until a condition is met. The individual loop cycle can be skipped with a continue...
Bloomberg
Tribe AI: DeepSeek Will Speed Up AI Use
Jaclyn Rice Nelson, co-founder and CEO of Tribe AI, says DeepSeek is set to fast track AI use and adoption as the Chinese startup's impact continues to ripple through the tech sector. He joins Caroline Hyde and Mike Shepard on "Bloomberg...
Bloomberg
Quantum Computing Will Transform How Businesses Operate: D-Wave CEO
D-Wave Quantum Systems is a Canadian quantum computing company, and was the world's first company to sell computers to exploit quantum effects in their operation. D-Wave CEO Alan Baratz joins Ed Ludlow to discuss the future of quantum...
Bloomberg
Michael Andretti on F1 Bid, Zapata AI SPAC Deal
Andretti Global CEO Michael Andretti discusses the status of his firm's application to compete in Formula One, and Andretti Acquisition's merger with artificial intelligence startup Zapata AI. Zapata CEO Christopher Savoie also discusses...
Bloomberg
Roundhill Investments' Kanterman on Alphabet, Microsoft
Matthew Kanterman, Director of Research at Roundhill Investment, discusses the latest earnings from Alphabet and Microsoft. He speaks with Shery Ahn and Haidi Stroud-Watts on "Bloomberg Daybreak: Australia".