Hands-On Guide to PyTorch Geometric (with Python code)

Released under MIT license, built on PyTorch, PyTorch Geometric(PyG) is a python framework for deep learning on irregular structures like graphs, point clouds and manifolds, a.k.a Geometric Deep Learning and contains much relational learning and 3D data processing methods. Graph Neural Network(GNN) is one of the widely used representations learning methods but the implementation of…

Read More

The 10 Algorithms Machine Learning engineers need to know

A data scientist or a machine learning enthusiast allow students of top private engineering colleges in Rajasthan to use these techniques to create functional Machine Learning projects. There are certain types of Machine Learning techniques including supervised learning, unsupervised learning, and reinforcement learning. All these techniques are used in this list of common Machine Learning Algorithms. Some of them are as follows:

Read More

Natural Language Processing-Based Quantification of the Mental State of Psychiatric Patients

ML Psychiatry

Psychiatric practice routinely uses semistructured and/or unstructured free text to record the behavior and mental state of patients. Many of these data are unstructured, lack standardization, and are difficult to use for analysis. Thus, it is difficult to quantitatively analyze a patient’s illness trajectory over time and his or her responsiveness to treatment, and it is also difficult to compare different patients quantitatively. In this article, experts in the field of psychiatry, along with machine learning models, have …

Read More

Quickstart Guide to Auto-Sklearn (AutoML) for Machine Learning Practitioners

Using AutoML frameworks in the real world is becoming a regular thing for machine learning practitioners. People often ask: does automated machine learning (AutoML) replace data scientists? Not really. If you’re eager to find out what AutoML is and how it works, join me in this article. I’m going to show you auto-sklearn, a state-of-the-art and open-source AutoML framework.

Read More

The best 5 + 1 podcasts for Machine Learning Learners and Practitioners

Podcasts are a great way to learn about novel fields and tools, as well as keeping yourself updated with the fields that you care about. I also believe that podcasts which are mainly centered around interviews are a great way to learn about the rockstars and superheroes of the AI world. You get a glimpse of how they think, what are they working on, and they solved a particular problem. In this post, I am not going into the details of why I think podcasts are great and Machine Learning learners and practitioners should listen to them.

Read More

10 best books on Data Science to boost your Career

Data Science has become one of the highest-paid and hottest fields in the contemporary market. In the future, data science will continue to grow beyond all the challenges. For now, almost every company has at least a data science position opened. That means, now is the best time to become a data scientist. It’s a crucial time for you to stay updated to stay ahead in the competition and level up your skill to get more senior positions. Since this profession is in high demand, keep educating yourself through the books on data science to get a hold of your data-skills and make it a solid career.

Read More

Learn Data Science in 2021: Books, Blogs, YouTube channels & more

As a curious person and practitioner in the field of AI, ML, and Data Science, I never stop my research, and I see myriads of blogs everyday. So, I decided to gather the most insightful and valuable stuff (as I see it) in one place to help others in their growth. You will not find mainstream stuff here or something everyone already knows. Here are my top picks of fresh material and content you can read, watch, or listen to. So let’s start our adventure!

Read More

82 Python projects with source code

82 Python Projects with Source Code solved and explained for free. Python is one of the best programming languages. Due to its readability and beginner-friendly nature, it has been accepted by industries around the world. So to master Python for any field you have to work on projects. In this article, I will introduce you to 82 Python projects with source code.

Read More

The importance of being prepared with Artificial Intelligence at Biomedical Engineering

Book/eBook: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by Jorge Garza-Ulloa- Academic Press(R) -Elsevier 2021Classically, a “physician” is defined as a professional who possesses special knowledge and skills derived from rigorous education, training, and experience, in other words “medical education remains based on information acquisition and application”.

Read More

Top Machine Learning books to read in 2021

Machine Learning is on the raise with big businesses implementing AI in every single business domain. If you want to jump in, or you’re already in trying to learn more, here’s the list of top machine learning books you can find in 2021. Whether you’re an absolute beginner and haven’t heard of Python before (it’s not a snake!), or you’ve dozens of CNNs in PyTorch, you’ll find something for you. Read on.

Read More

AAAI 2021 best Papers announced

Best Papers

The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) kicked off today as a virtual conference. The organizing committee announced the Best Paper Awards and Runners Up during this morning’s opening ceremony. Three papers received Best Paper Awards and three were recognized as Runners Up. The total of 9,034 submissions to AAAI 2021 marked another record high, surpassing last year’s 8800. Submissions from China (3,319) almost doubled the number of papers from the United States (1,822). Out of 7,911 papers that went to review, a total of 1,692 papers made it. This year’s acceptance rate was 21 percent, slightly higher than last year’s 20.6 percent.

Read More

Getting started with 5 essential Natural Language Processing libraries

This article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.

Read More

All the Mathematics you need for Artificial Intelligence

A Compiled List of Essential Math topics to supercharge your journey into AI. A week back, I wrote an article on How to Get into Data Science in 2021 and since then I’ve received quite a few emails asking me just how much math is required in Artificial Intelligence. This guide is an absolute life-saver for beginners, so you can study the topics that matter most, and an even better resource for practitioners, such as myself, who require a quick breeze-through on these concepts.

Read More

Paper – Ethical Management of Artificial Intelligence

With artificial intelligence (AI) becoming increasingly capable of handling highly complex tasks, many AI-enabled products and services are granted a higher autonomy of decision-making, potentially exercising diverse influences on individuals and societies. While organizations and researchers have repeatedly shown the blessings of AI for humanity, serious AI-related abuses and incidents have raised pressing ethical concerns.

Read More
1 2 3 4