​ A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to… Read More »Handwritten Digit Recognition with LeNet5 Model in PyTorch Adrian Tam MachineLearningMastery.com

​ This post was co-authored by Richard Tso, Director of Product Marketing, Azure AI Open-source technologies have had a profound impact on the world of AI and machine learning, enabling developers, data scientists, and organizations to collaborate, innovate, and build better AI solutions. As large… Read More »Exploring open-source capabilities in Azure AI Takuto Higuchi Microsoft Azure Blog > Machine Learning

​ Recent breakthroughs in artificial intelligence and machine learning have completely changed how people live and opened up many new business ventures. One of the most significant examples of this is OpenAI’s ChatGPT which took the world by storm by attracting the interest of practically… Read More »Quora POE: A Free Alternative To ChatGPT Pro With Frontend That Supports Claude And The ChatGPT Interface Runs Smooth Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ A general-purpose interface for various natural language activities has been successfully implemented using large language models (LLMs) by a team of Microsoft researchers. An LLM-based interface may be customized for a task as long as the input and output can be converted into text.… Read More »Microsoft Introduces Kosmos-1: A Multimodal Large Language Model That Can Perceive General Modalities, Follow Instructions, And Perform In-Context Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In Spark/Pyspark, the filtering DataFrame using values from a list is a transformation operation that is used to select a subset of rows based on a specific condition. The function returns a new DataFrame that contains only the rows that satisfy the condition. In… Read More »Filter Spark DataFrame using Values from a List rimmalapudi Spark By {Examples}

​ Labeled data is essential for training supervised machine learning models, but mistakes made by data annotators can impact the model’s accuracy. It is common to collect multiple annotations per data point to reduce annotation errors to establish a more reliable consensus label, but this… Read More »Cleanlab Open-Sources ActiveLab: A Novel Active Learning Method For Data Labeling To Improve Machine Learning Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In this article, we shall discuss how to use different spark configurations while creating PySpark Session, and validate the Configurations. Spark Session is the entry point to any Spark functionality. Table of contents 1. Create Spark Session With Configuration2. Configuring Spark Session in Pyspark3.… Read More »Spark Session configuration in PySpark. rimmalapudi Spark By {Examples}

​ An empty tuple in Python is a tuple that contains no elements. Tuple is represented by a pair of parentheses with nothing inside, like this, () or the built-in function tuple(). You can check whether a tuple is empty or not by finding its… Read More »Python Empty Tuple with Example Malli Spark By {Examples}

​ How to slice a tuple in Python? To slice a tuple, use the slice() built-in function with the desired start, stop, and step values. The result will be a new tuple containing the sliced elements from the original tuple. In this article, I will… Read More »Python Tuple Slice with Examples Malli Spark By {Examples}

​ Are there any replacements of switch statements in Python? Switch statements allow you to handle multiple cases with concise and readable code. Python does not have a built-in switch statement, We can implement switch-like structures in our code, using different ways. In this article,… Read More »Replacement of switch statement in Python? AlixaProDev Spark By {Examples}