As a developer, AI/ML has been a really lucrative and interesting field. For my 2021 years resolution, I am going to jump back into this field and focus on learning more and practicing. I have found a list of books that helped me so far, and I’m sure you’ll also find useful.
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Today the Topic is AI & ML. So Grab everything you need because it’s absolutely free.
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Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence and more precisely computer vision. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future, which I will definitely cover. Here are my top 10 of the most interesting research papers of the year in computer vision, in case you missed any of them.
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A reading guide for those serious about programming. There’s no single programming book that will make you a better programmer. The best books to learn to code can vary based on what language you’re pursuing, so the sections below didn’t just focus on one language but eleven. Without further ado, here are some of the books every programmer should read.
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eBooks are a good middleground between frivolous social media posts and dense research papers. They won’t take all your time — but they’ll bring value. If you want to stay on the cutting-edge of AI, then eBooks are a great tool.
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We present a curated list of 15 free eBooks compiled in a single location to close out the year. Among other articles highlighting such materials, I have written a series of posts since the pandemic erupted, in the case that more people spending more time at home may result in more time for reading.
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With the advancements in deep learning algorithms, computer vision and NLP have greatly evolved and done wonders around the world of AI. Along with this AutoML has also grown. This has led many industries to adopt AI smoothly and make efficient use of it in various use cases.
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So much happened in the world during 2020 that it may have been easy to miss the great progress in the world of AI. To catch you up quickly, check out this curated list of the latest breakthroughs in AI by release date, along with a video explanation, link to an in-depth article, and code.
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We all know that building content platforms is hard. You are constantly fighting misinformation, spam, and undesired ads—mostly from bots, the plague of the modern web. Some estimate that two-thirds of links posted on Twitter can come from bots.
So how can you fight them?
Synced has selected 10 AI-related podcasts for readers to check out over the holiday season.
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Face recognition, or facial recognition, is one of the largest areas of research within computer vision. We can now use face recognition to unlock our mobile phones, verify identification at security gates, and in some countries, make purchases. With the ability to make numerous processes more efficient, many companies invest into the research and development of facial recognition technology. This article will highlight some of that research and introduce five machine learning papers on face recognition.
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A playlist of 27 videos published on YouTube exploring the subject of Time Series and Time Series analysis using various methods and exploring a number of use cases.
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Much of the world may be on hold, but AI research is still booming. The volume of peer-reviewed AI papers has grown by more than 300 percent over the last two decades, and attendance at AI conferences continues to increase significantly, according to the Stanford AI Index.
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For the past year, we have looked at over 8,371 machine learning (ML) books [1], and we have picked what we consider to be the best paid and free books on ML in terms of technicality, ability to explain complex subjects, depth, and verified reviews.
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This week marks the beginning of the 34th annual Conference on Neural Information Processing Systems (NeurIPS 2020), the biggest machine learning conference of the year. Held virtually for the first time, this conference includes invited talks, demonstrations and presentations of some of the latest in machine learning research. As a Platinum Sponsor of NeurIPS 2020, Google will have a strong presence with more than 180 accepted papers, additionally contributing to and learning from the broader academic research community via talks, posters, workshops and tutorials.
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NeurIPS is the largest machine learning conference held every December. It brings together researchers in computational neuroscience, reinforcement learning, deep learning, and their applications such as computer vision, fairness and transparency, natural language processing, robotics, and more. Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas.
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Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas.
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Despite the challenges of 2020, the AI research community produced a number of meaningful technical breakthroughs. GPT-3 by OpenAI may be the most famous, but there are definitely many other research papers worth your attention.
Read MoreSubscribe to these Machine Learning YouTube channels today for AI, ML, and computer science tutorial videos. We recommend these YouTube channels regardless of your machine learning experience, whether you have a computer science degree or just a passing interest in AI. You’ll soon be on the way toward mastering the basics of AI, machine learning, and computer science in no time, through easy-to-follow demos and tutorial videos.
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Slack Groups for Data Scientists.
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