What is a Variational Quantum-Classical Algorithm and why do we need it?
… Variational Quantum-Classical Algorithms have become a popular way to think about quantum algorithms for near-term quantum devices. In these algorithms, classical computers perform the overall machine learning task on information they acquire from running certain hard-to-compute calculations on a quantum computer.
The quantum algorithm produces information based on a set of parameters provided by the classical algorithm. Therefore, they are called Parameterized Quantum Circuits (PQCs). Read More
Get the book: Hands-On Quantum Machine Learning With Python.
Tag Archives: Machine Learning
Forget coding, you can now solve your AI problems with Excel
Machine learning and deep learning have become an important part of many applications we use every day. There are few domains that the fast expansion of machine learning hasn’t touched. …But mastering machine learning is a difficult process. You need to start with a solid knowledge of linear algebra and calculus, master a programming language such as Python, and become proficient with data science and machine learning libraries such as Numpy, Scikit-learn, TensorFlow, and PyTorch. And if you want to create machine learning systems that integrate and scale, you’ll have to learn cloud platforms such as Amazon AWS, Microsoft Azure, and Google Cloud.
… To most people, MS Excel is a spreadsheet application that stores data in tabular format and performs very basic mathematical operations. But in reality, Excel is a powerful computation tool that can solve complicated problems. Excel also has many features that allow you to create machine learning models directly into your workbooks. Read More
4 Intersecting Domains That You Can Easily Confuse with Artificial Intelligence
Once you start consuming machine learning content such as books, articles, video courses, and blog posts, you will often see the terms like artificial intelligence, machine learning, deep learning, big data, and data science being used interchangeably. These terms represent several closely related areas within the field of artificial intelligence. They are usually used interchangeably without adequate attention paid to their scopes. It’s not entirely the authors’ fault since there is a slight ambiguity about these terms’ differences. With this post, we will put an end to this ambiguity and clarify their scopes, covering: Artificial Intelligence, Machine Learning. Deep Learning, Data Science, and Big Data. Read More
Machine Learning 2020 summary: 84 interesting papers/articles
This article presents a total of 84 papers and articles published in 2020 that the author found particularly interesting. For the sake of clarity, he divides them into 12 sections, including a personal summary:
1.Image/video classification tasks
2.Unsupervised learning / self-supervised learning
3.Natural language processing
4.Sparse model / Model compression / inference speedup
5.Optimization/ loss function/ data augmentations
6.Deep fake
7.Generative models
8.Machine learning with natural sciences
9.Analysis of deep learning
10.Other research
11.Real world applications
Read More
Top 20 Websites for Machine Learning and Data Science in 2020
Data science is booming exponentially in almost all parts of the world. Data scientists are highly sought after because they seem to have the “magical” ability to create value from data for data-driven companies and organizations.
Here is a list of the best websites for ML and data science to follow for valuable resources and news.
1 — Machine Learning Mastery
2 — Elite data science
3 — KDnuggets
4 — Kaggle
5 — Reddit — r/datascience
6 — Towards Data Science
7 — Analytics Vidhya
8 — Data Science Dojo
9 — Data Science 101
10 — Geeks for Geeks — Machine Learning
11 — Google News — Data Science
12 — Datafloq
13 — Domino Data Science Blog
14 — data36
15 — Revolutions
16 — Edwin Chen
17 — Pete Warden’s Blog
18 — InsideBIGDATA
19 — Google AI Blog
20 — Nature
Read More
AlphaFold: a solution to a 50-year-old grand challenge in biology
Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein folding problem”, and has stood as a grand challenge in biology for the past 50 years. In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP). This breakthrough demonstrates the impact AI can have on scientific discovery and its potential to dramatically accelerate progress in some of the most fundamental fields that explain and shape our world. Read More
Analysis of crimes in Mexico during 2017 with Machine Learning techniques (Cluster Analysis): Comparison Elbow Method and Silhouette Method
Using Machine Learning to identify problematic regions in Mexico.
Crime issues always has been a delicate topic of great interest in Mexico. Some people believe that there is a relationship between the number and the type of crime with the country’s region, that’s why in the following work an analysis will be made with the data from the National Survey of Victimization and Perception of Public Security ( ENVIPE ) 2018 (which aim to estimate the number of crimes committed during 2017) in order to be compared to Peace Index Mexico ( IPM) 2018 Read More
Machine learning cheat sheet
This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas on machine learning.
The cheat sheet will also appeal to someone who is preparing for a job interview related to machine learning. Read More (PDF Version Here)
Do the math with Steve Brunton, a UW professor whose YouTube popularity keeps adding up
There’s online teaching and then there’s cool YouTube-style teaching with a lightboard, neon-colored markers, a black backdrop and a Steve Jobs-worthy wardrobe on the instructor.
Steve Brunton is doing the latter.
…. His YouTube channel has attracted more than 95,000 subscribers and four million views. Read More
AI has cracked a key mathematical puzzle for understanding our world
Partial differential equations can describe everything from planetary motion to plate tectonics, but they’re notoriously hard to solve.
… But partial differential equations, or PDEs, are also kind of magical. They’re a category of math equations that are really good at describing change over space and time, and thus very handy for describing the physical phenomena in our universe. … The catch is PDEs are notoriously hard to solve.
… Now researchers at Caltech have introduced a new deep-learning technique for solving PDEs that is dramatically more accurate than deep-learning methods developed previously. Read More
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