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Artificial Intelligence Education

Harnessing Large-Scale Power

One of the core aspirations in artificial intelligence is to develop algorithms and techniques that endow computers with an ability to synthesize the observed...

How to Introduce Debugging to Kids

When it comes to teaching kids problem-solving, few methods are as powerful as learning to debug code. The process of finding bugs and implementing...

Creating Long-Range Modeling

The success of convolutional neural networks (CNNs) mainly comes from two properties of convolution: translation equivariance and locality. Translation equivariance, although not exact, ensures that the model functions well for objects...

Increaseing Performance of React Applications Via Array JavaScripts

We know the array methods of javascript. We used it in simple programming, right? But today we will see how to use it in...

Top 7 Computer Science Basics All Kids Should Learn

Establish Learning Goals One of the most important aspects of being an educator is establishing learning goals. Once you’ve decided that kids should learn how...

The Importance of Algorithms for Kids

The Importance of Algorithms for Kids Algorithms are used by both computers and humans to make interconnected decisions throughout our world. Google's search algorithm sorts...

Making AI learn without data

“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on. Machine learning typically requires...

AutoML Libraries for Python

  AutoML provides tools to automatically discover good machine learning model pipelines for a dataset with very little user intervention. It is ideal for domain experts...

Best Programming Languages for Kids

Kids Coding Languages Coding for kids can be hard to navigate — especially when it comes to choosing a first coding language to learn. With...

A 5-Step Guide to Teaching Kids Coding

Getting Started There are several reasons why every kid should learn to code — for instance, coding fosters creativity and enhances problem-solving skills. Fortunately, teaching...

Scaling Up Fundamental Quantum Chemistry Simulations

Accurate computational prediction of chemical processes from the quantum mechanical laws that govern them is a tool that can unlock new frontiers in chemistry,...

Using RigL to improve Sparse Training

Modern deep neural network architectures are often highly redundant , making it possible to remove a significant fraction of connections without harming performance. The...
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Introductory Guide on XCFramework and Swift Package

In WWDC 2019, Apple announced a brand new feature for Xcode 11; the capability to create a new kind of binary frameworks with a special format...

Understanding Self Service Data Management

https://dts.podtrac.com/redirect.mp3/www.dataengineeringpodcast.com/podlove/file/704/s/webplayer/c/episode/Episode-159-Isima.mp3 Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often...

Understanding Machine Learning Data Preparation Techniques

Predictive modeling machine learning projects, such as classification and regression, always involve some form of data preparation. The specific data preparation required for a dataset...

Java and Python in Top List of Self taught Languages

Here's a report for the times: Specops Software sifted data from Ahrefs.com using its Google and YouTube search analytics tool to surface a list of the programming languages people most...
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