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GitHub - kandarpkakkad/Machine-Learning-A-to-Z: Machine Learning A-Z (Udemy)

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The objective of this course is to learn Machine Learning concepts and be handy with coding of machine learning. Here I have the solutions and codes of "Machine Learning A to Z" course of Udemy.


Data Engineer (Java)

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As part of the data practice, we are focused on creating a modern architecture and software development practice that can deliver cloud, digital and agile transformations to our clients. The ideal candidate will have a strong software engineering background, will have worked in large teams and will be comfortable in a client-facing role. You will also be willing and able to contribute to the 6point6 internal data practice strategy and thought leadership. At 6point6, we drive the right change in every organisation through the positive impact of technology. Leading with strategy, architecture, and design, we connect cloud, data, and cyber to engineer and deliver large-scale, complex transformations across public and private sectors.


AI may be searching you for guns the next time you go out in public

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When Peter George saw news of the racially motivated mass-shooting at the Tops supermarket in Buffalo last weekend, he had a thought he's often had after such tragedies. "Could our system have stopped it?" he said. But I think we could democratize security so that someone planning on hurting people can't easily go into an unsuspecting place." George is chief executive of Evolv Technology, an AI-based system meant to flag weapons, "democratizing security" so that weapons can be kept out of public places without elaborate checkpoints. As U.S. gun violence like the kind seen in Buffalo increases -- firearms sales reached record heights in 2020 and 2021 while the Gun Violence Archive reports 198 mass shootings since January -- Evolv has become increasingly popular, used at schools, stadiums, stores and other gathering spots. To its supporters, the system is a more effective and less obtrusive alternative to the age-old metal detector, making events both safer and more pleasant to attend. To its critics, however, Evolv's effectiveness has hardly been proved. And it opens up a Pandora's box of ethical issues in which convenience is paid for with RoboCop surveillance. "The idea of a kinder, gentler metal detector is a nice solution in theory to these terrible shootings," said Jay Stanley, senior policy analyst for the American Civil Liberties Union's project on speech, privacy, and technology. "But do we really want to create more ways for security to invade our privacy?


Top 10 AI graduate degree programs

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Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. U.S. News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. Here are the top 10 programs that made the list as having the best AI graduate programs in the US.


The 6 Python Machine Learning Tools Every Data Scientist Should Know About - KDnuggets

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Machine learning is rapidly evolving and the crucial focus of the software development industry. The infusion of artificial intelligence with machine learning has been a game-changer. More and more businesses are focusing on wide-scale research and implementation of this domain. Machine learning provides enormous advantages. It can quickly identify patterns and trends and the concept of automation comes to reality through ML.


CS Student Uses TikTok Dance Videos and AI to Generate 3D Avatars

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Each video in the dataset depicts dynamic movements of a single person while lacking 3D ground truth geometry. University of Minnesota computer science Ph.D. student Yasamin Jafarian has been using TikTok dance videos as food for a computer algorithm that uses the frame-by-frame data to construct lifelike 3D avatars of real people. Jafarian needed a large dataset of videos to "train" the algorithm. TikTok dance videos -- which often feature one person showing the full length of their body in multiple poses -- provided the perfect solution. She used 340 videos in her dataset, each one 10-to-15 seconds long.


6 business risks of shortchanging AI ethics and governance

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Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it's not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj, an AI research and advisory company, 14% of AI researchers said that AI was an "existential threat" to humanity. Even if the AI apocalypse doesn't come to pass, shortchanging AI ethics poses big risks to society -- and to the enterprises that deploy those AI systems. Central to these risks are factors inherent to the technology -- for example, how a particular AI system arrives at a given conclusion, known as its "explainability" -- and those endemic to an enterprise's use of AI, including reliance on biased data sets or deploying AI without adequate governance in place.


Classify small images accurately using little memory and CPU with ImageSig

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Classify small images accurately using little memory and CPU with ImageSig ImageSig: A signature transform for ultra-lightweight image recognition arXiv paper abstract https://arxiv.org/abs/2205.06929v1 arXiv PDF paper https://arxiv.org/pdf/2205.06929v1.pdf This paper introduces a new lightweight method for image recognition. ImageSig is based on computing signatures and does not require a convolutional structure or an attention-based encoder. ... achieves: a) an accuracy for 64 X 64 RGB images


The role of AI and machine learning in revolutionizing clinical research - MedCity News

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Advanced technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) have become a cornerstone of successful modern clinical trials, integrated into many of the technologies enabling the transformation of clinical development. The health and life sciences industry's dramatic leap forward into the digital age in recent years has been a game-changer with innovations and scientific breakthroughs that are improving patient outcomes and population health. Consequently, embracing digital transformation is no longer an option but an industry standard. Let's explore what that truly means for clinical development. Over the years, technology has equipped clinical leaders to successfully reduce costs while accelerating stages of research and development.


Unleashing the power of machine learning models in banking through explainable artificial intelligence (XAI)

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The "black-box" conundrum is one of the biggest roadblocks preventing banks from executing their artificial intelligence (AI) strategies. It's easy to see why: Picture a large bank known for its technology prowess designing a new neural network model that predicts creditworthiness among the underserved community more accurately than any other algorithm in the marketplace. This model processes dozens of variables as inputs, including never-before-used alternative data. The developers are thrilled, senior management is happy that they can expand their services to the underserved market, and business executives believe they now have a competitive differentiator. But there is one pesky problem: The developers who built the model cannot explain how it arrives at the credit outcomes, let alone identify which factors had the biggest influence on them.