Computer Science, Editorial, Programming
An introduction to genetic algorithms, optimization, and implementations with code examples in Python
Author(s): Sujan Shirol, Roberto Iriondo
This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will also explore the different methods involved in each step diagrammatically. As always, we are including code for reproducibility purposes. We have split the code when required while exploring the different steps involved during our implementation.
Make sure to check the full implementation from this tutorial on either Google Colab or Github.
What is a Genetic Algorithm?
A genetic algorithm belongs to a class of evolutionary algorithms that is broadly inspired by biological evolution. We are all aware of biological evolution [1] — it is a selection of parents, reproduction, and mutation of offsprings. The main aim of evolution is to reproduce offsprings that are biologically better than their parents. …
Deep Learning, Editorial
Diving into “what is deep learning” while providing an exciting and straightforward introduction to deep learning, how it works, and some example implementations
Author(s): Saniya Parveez, Roberto Iriondo
This tutorial’s code is available on Github and its full implementation as well on Google Colab.
Introduction
The use of deep learning in real-life applications and research has become crucial during the last decade, for example, with the advancements in image recognition, transfer learning, computer vision, recommendation systems, language understanding, healthcare, machine intelligence, and so on [2] [9].
For example, if you have ever used Facebook to post photos, you may have witnessed how their tech can recognize people in photos. These can be your friends or friends of friends, and in most cases, even if the photo is not clear and blurred, their image recognition software has a high accuracy rate on recognizing the people in them and auto-tagging them [1]. …
News, Newsletter
What is new in the AI world, an exciting Hackathon with over $ 5000.00 in prizes, our official community’s launch, and our monthly editorial picks.
If you have trouble reading this email, see it on a web browser.
Happy Monday, folks! We genuinely hope you had a lovely Holiday season next to your beloved ones and a Happy New Year. In this edition of our monthly newsletter, we present:
Expert.ai Natural Language and Text Analytics API Hackathon: Create or enhance an existing app by embedding deep Natural Language Processing, word meaning, and sentiment analysis. Expert.ai empowers organizations to transform data into knowledge and insight through its deep understanding of complex language. The expert.ai Natural Language API is a cloud-based software service that provides a comprehensive set of natural language understanding capabilities based on expert.ai technology. Test your development skills and build (or update) a functioning application that uses an expert.ai API. The First Prize is $ 5,000 USD. …
News
Last updated January 12, 2021
Towards AI is proud to announce our official community focused on artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, best practices, and more!
We are an online community that will support, encourage, and hold each other accountable to achieve our goals and strive for greatness. Whether you are just getting started in AI and tech or you are a seasoned tech-vet. If you are looking for a place to find like-minded tech go-getters, join us.
By becoming a member, you will not only be supporting Towards AI, but you will have access to communicate directly with our team, connect with our community, ask questions, obtain feedback, have early access to our projects, code, beta products, books, and others, along with being an instrumental part of our growth. …
Machine Learning, Editorial
Keep up with the best and the latest machine learning (ML) research blogs through reliable sources.
Last updated, January 7, 2021
Author(s): Roberto Iriondo
🤖 Towards AI is a community that discusses artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, and more! Join us🤖
From researchers to students, industry experts, and machine learning (ML) enthusiasts — keeping up with the best and the latest machine learning research is a matter of finding reliable sources of scientific work.
While blogs usually update in a more informal and conversational style, we have found that the sources in this list are accurate, resourceful, and reliable sources of machine learning research. …
Data Science, Editorial, Programming
Why are random numbers crucial in machine learning and data science? How do we build a random number generator for our projects?
Author(s): Sujan Shirol, Roberto Iriondo
This tutorial’s code is available on Github and its full implementation as well on Google Colab.
🤖 Towards AI is a community that discusses artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, and more! Join us🤖
Random numbers are everywhere in our lives, whether roulette in the Casino, cryptography, statistical sampling, or as simple as throwing a die gives us a random number between 1 to 6.
In this tutorial, we will dive into what pseudorandomness is, its importance in machine learning and data science, and how to create a random number generator to generate pseudorandom numbers in Python using popular libraries. …
Data Science, Editorial, Programming
A tutorial diving into the gradient descent algorithm for machine learning (ML) with Python
Last updated, January 7, 2021
Author(s): Saniya Parveez, Roberto Iriondo
This tutorial’s code is available on Github and its full implementation as well on Google Colab.
🤖 Towards AI is a community that discusses artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, and more! Join us🤖
Table of Contents
- What is Gradient Descent?
- Cost function
- Gradients
- Python Implementation
- Learning Rate
- Convergence
- Convex Function
- Batch Gradient Descent
- Stochastic Gradient Descent
- Mini-Batch Gradient Descent
- Conclusion
- Resources
- References
📚 Check out our convolutional neural networks tutorial. 📚
What is Gradient Descent?
Careers, Education, News, Machine Learning
These are the best universities to pursue a master’s degree in machine learning, with research rankings in AI and machine learning research.
Last updated, January 7, 2021
Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help you in your choosing process. This article is most suited for individuals who’d like to pursue a master’s degree with a focus on machine learning and need some guidance on their decision making.
Feel free to jump to the end if you are only looking for the university names.
Note: The universities mentioned below are in no particular order.
Careers, Education, News, Machine Learning
These are the best universities to pursue a Ph.D. in machine learning, with research rankings in AI and machine learning research.
Last updated, January 8, 2021
🤖 Towards AI is a community that discusses artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, and more! Join us🤖
Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help prospective students choose. This article is most suited for individuals who would like to pursue a Ph.D. …
Natural Language Processing, Editorial, Programming
An in-depth NLP tutorial diving into sentiment analysis (opinion mining) with Python
Last updated, January 8, 2021
Author(s): Saniya Parveez, Roberto Iriondo
This tutorial’s code is available on Github and its full implementation as well on Google Colab.
🤖 Towards AI is a community that discusses artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, related news, robotics, self-driving cars, programming, technology, and more! Join us🤖
Table of Contents
- Introduction
- What is Sentiment Analysis?
- Types of Sentiment Analysis
- Sentiment Analysis Architecture
- Polarity
- Methods for Sentiment Analysis
- Baseline Machine Learning Algorithms for the Sentiment Analysis
- Challenges and Problems in Sentiment Analysis
- Data Preprocessing for Sentiment Analysis
- Use-case: Sentiment Analysis for Fashion, Python…
