Search results for Programming Generative Adversarial Networks

    Found 25 documents, 5925 searched:

  • Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

    The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

    https://www.kdnuggets.com/2023/07/synthetic-data-platforms-unlocking-power-generative-ai-structured-data.html

  • Machine learning adversarial attacks are a ticking time bomb

    Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.

    https://www.kdnuggets.com/2021/01/machine-learning-adversarial-attacks.html

  • Generative Adversarial Networks – Key Milestones and State of the Art

    We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.

    https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html

  • 5 Free Books to Master Data Science

    Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

    https://www.kdnuggets.com/5-free-books-to-master-data-science

  • Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

    The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

    https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

  • Ten Years of AI in Review

    From image classification to chatbot therapy.

    https://www.kdnuggets.com/2023/06/ten-years-ai-review.html

  • HuggingFace Has Launched a Free Deep Reinforcement Learning Course

    Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

    https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

  • Learn Machine Learning 4X Faster by Participating in Competitions

    Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

    https://www.kdnuggets.com/2022/01/learn-machine-learning-4x-faster-participating-competitions.html

  • Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

    So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.

    https://www.kdnuggets.com/2021/12/data-labeling-ml-overview-and-tools.html

  • 10 Amazing Machine Learning Projects of 2020">Silver Blog10 Amazing Machine Learning Projects of 2020

    So much progress in AI and machine learning happened in 2020, especially in the areas of AI-generating creativity and low-to-no-code frameworks. Check out these trending and popular machine learning projects released last year, and let them inspire your work throughout 2021.

    https://www.kdnuggets.com/2021/03/10-amazing-machine-learning-projects-2020.html

  • 2020: A Year Full of Amazing AI Papers — A Review

    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.

    https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

  • I Designed My Own Machine Learning and AI Degree

    With so many pioneering online resources for open education, check out this organized collection of courses you can follow to become a well-rounded machine learning and AI engineer.

    https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html

  • Dive Into Deep Learning: The Free eBook

    This freely available text on deep learning is fully interactive and incredibly thorough. Check out "Dive Into Deep Learning" now and increase your neural networks theoretical understanding and practical implementation skills.

    https://www.kdnuggets.com/2020/04/dive-deep-learning-book.html

  • 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)">Gold Blog20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)

    2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.

    https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html

  • 10 Free Must-read Books on AI">Gold Blog10 Free Must-read Books on AI

    Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

    https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html

  • 12 Deep Learning Researchers and Leaders">Silver Blog12 Deep Learning Researchers and Leaders

    Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

    https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html

  • Platinum BlogAnother 10 Free Must-See Courses for Machine Learning and Data Science">Platinum BlogPlatinum BlogAnother 10 Free Must-See Courses for Machine Learning and Data Science

    Check out another follow-up collection of free machine learning and data science courses to give you some spring study ideas.

    https://www.kdnuggets.com/2019/04/another-10-free-must-see-courses-machine-learning-data-science.html

  • Deep Learning for the Masses (… and The Semantic Layer)

    Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.

    https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html

  • AI Knowledge Map: How To Classify AI Technologies">Silver BlogAI Knowledge Map: How To Classify AI Technologies

    What follows is then an effort to draw an architecture to access knowledge on AI and follow emergent dynamics, a gateway of pre-existing knowledge on the topic that will allow you to scout around for additional information and eventually create new knowledge on AI.

    https://www.kdnuggets.com/2018/08/ai-knowledge-map-classify-ai-technologies.html

  • How to Organize Data Labeling for Machine Learning: Approaches and Tools

    The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.

    https://www.kdnuggets.com/2018/05/data-labeling-machine-learning.html

  • A “Weird” Introduction to Deep Learning">Silver BlogA “Weird” Introduction to Deep Learning

    There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

    https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html

  • First Steps of Learning Deep Learning: Image Classification in Keras

    Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!

    https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html

  • How To Stay Competitive In Machine Learning Business

    To stay competitive in machine learning business, you have to be superior than your rivals and not the best possible – says one of the leading machine learning expert. Simple rules are defined here to make that happen. Let’s see how.

    https://www.kdnuggets.com/2017/01/stay-competitive-machine-learning-business.html

  • Deep Learning Research Review: Reinforcement Learning

    This edition of Deep Learning Research Review explains recent research papers in Reinforcement Learning (RL). If you don't have the time to read the top papers yourself, or need an overview of RL in general, this post has you covered.

    https://www.kdnuggets.com/2016/11/deep-learning-research-review-reinforcement-learning.html

  • The 10 Algorithms Machine Learning Engineers Need to Know">2016 Gold BlogThe 10 Algorithms Machine Learning Engineers Need to Know

    Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

    https://www.kdnuggets.com/2016/08/10-algorithms-machine-learning-engineers.html

Refine your search here:

No, thanks!