Best of Deep Learning — 2022
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The New Stack·4y
Brain.js Brings Deep Learning to the Browser and Node.js
Brain.js is a JavaScript library for deploying a neural network in the browser or on Node.js. It uses a computer’s GPU (graphics processing unit) for calculations, or pure JavaScript when GPU isn’t available. A lot of deep learning projects will continue to use the likes of TensorFlow or big company platforms like IBM Watson Studio or Google Cloud AI Platform.
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Python in Plain English·3y
15 Completely Free Machine Learning and Deep Learning Books
Think Stats is a beginner friendly introduction to Statistics and Probability. Deep Learning for Coders with Fastai & PyTorch by Jeremy Howard and Sylvain Gugger is designed to start with your deep learning journey. Bayesian Methods for Hackers by Adel El-Shahat is a great choice.
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Towards AI·4y
10 AI Websites That Will Excite You to The Core! Part:2
Part 1 of this series is a series of interesting artificial intelligence-based websites. Replika combines a sophisticated neural network machine learning model and scripted dialogue content. Quick, Draw! is an online game developed by Google that challenges players to draw a picture of an object and then uses a neural network artificial intelligence to guess what the drawings represent.
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KDnuggets·3y
3 Free Machine Learning Courses for Beginners
There are many low-quality free courses and YouTube courses that provide no help in building strong machine learning fundamentals. You can also learn a lot from interactive free courses by Udacty, Coursera, and Fast AI. These courses cover fundamentals and introduce you to supervised, unsupervised, and deep learning algorithms.
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Machine Learning Mastery·4y
365 Data Science courses free until November 21
365 Data Science courses free until November 21 until November 3, 2022. The #21DaysFREE campaign provides 100% free unlimited access to all content for three weeks. The program has helped over 2 million students worldwide to learn data science and expand their job prospects.
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Changelog·4y
microsoft/AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!
Microsoft Learn is a 12-week, 24-lesson curriculum all about Artificial Intelligence. You will learn: Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning. There are also Labs available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem. Each lesson contains some pre-reading material.
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24 Best (and Free) Books To Understand Machine Learning
Machine Learning Engineer was voted one of the best jobs in the U.S. in 2019. We have compiled a list of best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field. There is no doubt that Machine Learning has become a popular topic nowadays.
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Hacker News·3y
I Taught ChatGPT to Invent a Language
I Taught ChatGPT to Invent a Language in whichChatGPT and I invent a fictional language spoken by slime-people Introduction I’ve been playing with OpenAI’s chatGPT model. This is so far beyond anything I would expect from a model trained to complete text prompts from the user. It understands subordinate clauses.
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15 Free Machine Learning and Deep Learning Books
If you’re looking to have a career in machine learning or a data scientist, below is a list of FREE e-books to help you achieve this. The list includes an Introduction to Machine Learning Interpretability by Patrick Hall and Navdeep Gill. If you have an interest in Natural Language Processing and you are proficient in Python - this book is for you.
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freeCodeCamp·4y
Learn PyTorch for Deep Learning – Free 25-Hour Course
Learn PyTorch for Deep Learning: Zero to Mastery course is available online for free at learnpytorch.io. The course is comprised of 5 modules, best taken sequentially (but feel free to jump around) The focus of the course is code, code, and a willingness to learn. The magic of machine learning is building algorithms to find patterns in your own custom data.
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7 Machine Learning Portfolio Projects to Boost the Resume
There is a high demand for machine learning engineer jobs, but the hiring process is tough to crack. For a newbie or fresh graduate, there are only a few ways to showcase skills and experience. Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
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The Complete Data Science Study Roadmap
The Complete Data Science Study Roadmap will map out the things you need to do to become a Data Scientist. This article will help you fill in those gaps so that you don’t have to feel imposter syndrome or lack of confidence on your data science journey.
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Learn Data Science From These GitHub Repositories
Learn Data Science from these curated GitHub repositories to start your data science career with these curated repositories. GitHub is a code-hosting platform for version control and collaboration. GitHub also has a community which helps to support all users on GitHub with questions, problems and their overall educational journey.
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15 More Free Machine Learning and Deep Learning Books
Free Machine Learning and Deep Learning ebooks are available for free. Check out this second list of 15 FREE ebooks for learning machine learning and deep learning ebooks. Click here to read 15 free ebooks to help you learn about deep learning and machine learning.
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5 Python Projects for Data Science Portfolio
5 Python Projects for Data Science Portfolio will help you develop problem-solving habits. Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects. In the five projects, we will learn to: Scrape live yahoo stock prices, perform time series analysis and forecasting.
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Dark Reading·4y
Most Attackers Need Less Than 10 Hours to Find Weaknesses
The average ethical hacker can find a vulnerability that allows the breach of the network perimeter and then exploit the environment in less than 10 hours. Nearly three-quarters of ethical hackers think most organizations lack the necessary detection and response capabilities to stop attacks.
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The Complete Machine Learning Study Roadmap
The Complete Machine Learning Study Roadmap shows what you need to do to start your Machine Learning journey. The field is a bit more specific than Data Science and Data Engineering which naturally include Machine Learning in the mix. Here are some resources that can help you get a more in-depth understanding of the field.
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Graphs: The natural way to understand data
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Graphs reveal the relationships in your data. Tracking these connections reveals new insights and influences and lets you analyze each data point as part of a larger whole.
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Geekflare·4y
Difference Between AI, Machine Learning, and Deep Learning
Artificial Intelligence (AI) is a “smart” way to create intelligent machines. Machine learning (ML) helps in building AI-driven applications. Deep Learning is a part of machine learning that trains a model with complex algorithms and vast data volumes. Most people confuse Artificial Intelligence, machine learning, and deep learning.
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Community Picks·4y
Top Innovative Artificial Intelligence (AI) Powered Startups Based in Canada (2022)
Top Innovative Artificial Intelligence (AI) Powered Startups based in Canada (2022) Artificial intelligence is transforming the innovation landscape around the world. Hopper has created several innovative fintech solutions that assist users in making financial savings and improving their travel experiences. AcuityAds offers marketers an all-in-one omnichannel digital advertising solution.
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This is How I Deep Faked Myself At Every Office Meeting
Deepfake is a type of fake image or video created with artificial intelligence. It is created with the use of deep learning and AI to detect the original facial recognition of the targeted individual and match it while putting on bogus photos or videos. It aims to uncover defects in the counterfeit, which will lead to improvements in the forgery.
