Best of Machine LearningMarch 2023

  1. 1
    Article
    Avatar of communityCommunity Picks·3y

    GPT-4

    GPT-4 is a highly advanced AI model that excels in creative and collaborative tasks, including writing, image analysis, and reasoning. It surpasses ChatGPT in multiple aspects and has been used by various organizations for innovative projects.

  2. 2
    Article
    Avatar of taiTowards AI·3y

    The Complete Guide to Machine Learning

    A comprehensive guide to machine learning, covering topics such as exploratory data analysis, feature engineering, statistical modeling, and machine learning algorithms.

  3. 3
    Article
    Avatar of kdnuggetsKDnuggets·3y

    5 Advance Projects for Data Science Portfolio

    5 Advance Projects for Data Science Portfolio. Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects. Recycled Energy Saved in Singapore will analyze how much Singapore is saving energy per year by recycling plastics, paper, glass and ferrous and non-ferrous metals.

  4. 4
    Article
    Avatar of apiumhubApiumhub·3y

    Software Development Frameworks: A Guide to 2023

    Software Development Frameworks: A Guide to 2023 - Apiumhub. The software development process takes an enormous amount of time and effort, which is variable, of course, based on its complexity, size, and other factors. Frameworks provide a structure for developing software and ensure that code is written consistently and logically.

  5. 5
    Article
    Avatar of kdnuggetsKDnuggets·3y

    Top 15 YouTube Channels to Level Up Your Machine Learning Skills

    Top 15 YouTube Channels to Level Up Your Machine Learning Skills Skills - KDnuggets. Top 15 channels to learn machine learning in 2023: 1.1.2M, Videos:1,234, Views: 107M, Sentdex Harrison Kinsley creates a wide range of programming tutorials about machine learning, Python, Finance, Data Analysis and Robotics.

  6. 6
    Article
    Avatar of medium_jsMedium·3y

    Building a Full-Stack Machine Learning Web Application: Integrating FastAPI, Streamlit

    Learn how to build a Full-Stack Machine Learning Web Application using FastAPI and Streamlit. The application integrates Front-End, Back-End, and Machine Learning algorithms. Discover the process of selecting machine learning algorithms, entering parameters, and obtaining results. Explore the technologies used and the benefits of using FastAPI and Streamlit. Start your Full-Stack Machine Learning project now!

  7. 7
    Article
    Avatar of mlnewsMachine Learning News·3y

    Generative AI Now Powers Shutterstock’s Creative Platform: Making Visual Content Creation Effortless

    With over 2 million contributors, Shutterstock uploads hundreds of thousands of new photos every week, resulting in a vast library of more than 424 million images and 27 million video clips. Shutterstock’s extensive library offers high-quality, licensed media in a variety of forms, including pictures, vectors, drawings, 3D models, films and music.

  8. 8
    Article
    Avatar of phProduct Hunt·3y

    Cradl AI - Product Information, Latest Updates, and Reviews 2024

    Cradl AI is a tool that allows developers to train deep learning models for document parsing and integrate them into their own apps using RESTful APIs. It requires no ML experience.

  9. 9
    Article
    Avatar of kdnuggetsKDnuggets·3y

    Fear not, for AI coding is here to help you!

    The author presents challenging regex puzzles and compares the solutions given by AI assistants with traditional human-made solutions. The book provides insights into integrating AI-generated coding suggestions.

  10. 10
    Article
    Avatar of serokellSerokell·3y

    Top 15 Machine Learning Libraries in 2023

    This post provides an overview of the top machine learning libraries in 2023, including NumPy, Pandas, scikit-learn, and more. It explains the difference between libraries and frameworks and highlights the features and benefits of each library. The post also mentions the best ML libraries for scientific and technical computing, C & Python data science, neural networks, and graphics and visualization.