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…
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Top 10 most popular and best deep learning framework 2021
Today I’ll be sharing with you some of the most popular and best deep learning frameworks and their unique features. So let’s get started.
Read MoreThe 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 MoreNatural Language Processing-Based Quantification of the Mental State of Psychiatric Patients
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 MoreQuickstart 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 MoreApproaching (almost) any Machine Learning problem
Approaching (Almost) Any Machine Learning Problem. There are a growing number of works out there addressing how to approach machine learning problems, many of them quite good. But how many of them are written by a 4x Kaggle Grandmaster?
Read MoreThe 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 More10 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 More10 resources for data science self-study
10 resources for data science self-study. There are two basic pathways to data science, the traditional college degree pathway and the self-study pathway.
Read MoreLearn 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 More82 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 MoreThe 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 More3,086 Machine Learning Datasets
List of 3,086 Machine Learning Datasets, shared with the community. This list is continually growing.
Read MoreTop 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 MoreAAAI 2021 best Papers announced
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 MoreGetting 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 MoreSuperhuman Innovation: Transforming business with Artificial Intelligence
Superhuman Innovation: Transforming Business with Artificial Intelligence by Chris DuffeyKiranmayi GFeb 3
Read MoreAll 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 MorePaper – 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 More5 best Programming languages to learn
Over the last decade or two, learning a programming language is no longer a secondary skill but a necessity for working in the IT industry. In fact, most IT jobs require a solid understanding of the top programming languages.
So, if you’re looking to advance in the software industry, or you’re just starting, choosing the right programming language is key.