• Building Accurate Predictive Models with Machine Learning

    Rachel Metzgar (left), a graduate student in psychology, discusses the applications of machine learning to her own research with Sarah-Jane Leslie (right), the Class of 1943 Professor of Philosophy, who offered a course this spring on deep learning. The stumbling block is the time and effect required to sift through thousands of daily interactions to determine which design, copy and placement resonates the most. Now, with artificial intelligence (AI) and machine learning (ML), we’re seeing a much simpler path to accelerating these processes and reaping the rewards. All the same, there exists a tension between the explicitly AGI-seeking goals of AI companies and the fears of machine learning experts —…

  • Explaining the Unexplained: Techniques for Interpreting Machine Learning

    Machine learning can be an abstract concept, so get to grips with it by exploring these different algorithms. The rise of data, ML and AI is one of the most fundamental trends in our generation. Its importance goes well beyond the purely technical, with a deep impact on society, politics, geopolitics and ethics. “I am impressed by how well this approach has performed on the search for extraterrestrial intelligence,” Cherry Ng, a co-author on the research and an astronomer also at the University of Toronto, said in the same statement. “With the help of artificial intelligence, I’m optimistic that we’ll be able to better quantify the likelihood of the presence…

  • Handling Imbalanced Data in Predictive Modeling with Machine Learning

    “He was clearly grappling with the responsibility he faced but, like many in the field, seemed pulled along by the rapidity of progress.” A serial artificial intelligence investor is raising alarm bells about the dogged pursuit of increasingly-smart machines, which he believes may soon advance to the degree of divinity. This week we met with Workday at the company’s annual Innovation Summit and I walked away very impressed. Not only is Workday clear-eyed and definitive about its AI product strategy, the company is entering one of its strongest product cycles in years. We found that these negative values were due to a bug in timezone conversion, so we fixed it…

  • Machine Learning Interpretability: Shedding Light on Predictive Decisions

    As the world becomes increasingly digital, businesses are finding new ways to connect with their customers and provide a more personalized experience. An exciting development in this area is the use of artificial intelligence (AI) and machine learning to derive personalized customer experiences. AI-powered personalization involves collecting and analyzing vast amounts of customers’ data, from their browsing and purchasing history to social media interactions and demographic information. This information is used to learn the specific needs and preferences of each individual customer. The ConvLSTM neural network is a fully connected LSTM network with a convolutional structure inside the LSTM cell, which does well in predicting data with temporal correlation. AI…

  • Model Transparency: Enhancing Trust in Machine Learning Systems

    Early applications of AI, theorized around 50 years or so ago, were extremely basic by today’s standards. A chess game where you play against computer-controlled opponents, for instance, could once be considered revolutionary. It’s easy to see why — the ability to solve problems based on a set of rules can qualify as basic “intelligence”, after all. These days, however, we’d consider such a system extremely rudimentary as it lacks experience — a key component of human intelligence. Machine learning and statistical classification of birdsong link vocal … – Nature.com Machine learning and statistical classification of birdsong link vocal …. Posted: Mon, 01 May 2023 07:00:00 GMT [source] This flexibility…

  • Interpretable Machine Learning Algorithms: Unveiling the Inner Workings

    They then calculate what they call an earnings yield by dividing the discounted earnings forecast by the company’s total enterprise value. There are subsequent steps that look to weed out so-called “Value Traps”, or those names that have depressed valuations for good reason. Since OpenAI released the generative AI application ChatGPT, conversation about this technology’s impact on the legal profession has been nonstop. And speculation only increased when GPT-4, the world’s most advanced large language model (LLM) (which powers the subscription service ChatGPT Plus), was unveiled in March. In machine learning, Training is a term used for getting used to all the values and biases of our target examples. For…