Data Science Insider: April 21st, 2023

In This Week’s SuperDataScience Newsletter: AI-generated Photograph Wins Sony World Photography Award. Best Practices for ML Algorithms. GPT-4 Era Demands Advanced Skills from Data Scientists. Top 10 Data Visualization Tools of 2023. Drake and The Weeknd AI Song Causes Controversy. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [AI-generated Photograph Wins Sony World Photography Award]( brief: The winner of a prestigious photography competition has admitted that the image was actually generated by AI. The photograph was submitted under a pseudonym and was chosen by a panel of judges as the winning entry. Boris Eldagsen, the artist behind the work, has now come forward and revealed that the image was created using a computer algorithm. The incident raises important questions about the definition of art and the role of technology in creative expression. It also highlights the increasing sophistication of AI and its potential to disrupt traditional creative industries. While some argue that AI-generated art should not be considered true art, others believe that it represents a new form of creativity that should be celebrated. Why this is important: The debate over AI and its role in the art world is one that we’ve frequently covered here at SuperDataScience, although opinions are divided the duplicitous way that Eldagsen made his point may prove not be the best way to win over naysayers. [Click here to learn more!]( [Best Practices for ML Algorithms]( brief: In this Data Science Central article, Anastasiia Molodoria shares her experience of working on commercial AI projects and offers some best practices for selecting the right ML algorithms for different types of business tasks. Molodoria begins with regression, a well-known ML algorithm for predicting a numerical value based on historical data. They describe building a reliable regression model using polynomial regression with California Housing data, which is a more complex model capable of capturing nonlinear relationships. The author then discusses classification, used for categorizing unstructured and structured data - illustrating how it can be used to create a multi-label classification model for a customer service department that receives thousands of requests per day. It concludes with a discussion of clustering. Why this is important: Choosing the correct algorithm for your project will allow things to work more effectively and satisfy your clients. However, it is important to remember that the quality of your data should be your primary concern. [Click here to read on!]( [GPT-4 Era Demands Advanced Skills from Data Scientists]( In brief: In the era of GPT-4, data scientists need to stay ahead of the curve to land their dream jobs. To get hired, they should focus on developing advanced skills in natural language processing, computer vision, and generative models. Additionally, they should possess excellent communication skills to explain their findings to non-technical stakeholders. Having experience with big data platforms, cloud technologies, and programming languages such as Python, R, and SQL is also highly desirable. It is crucial to demonstrate a strong portfolio of past projects and constantly update one's knowledge through attending workshops, participating in online forums, and contributing to open-source projects. With these strategies, data scientists can stand out in a highly competitive job market. Why this is important: We all dream of landing our perfect data science role and with the pointers in this article combined with the tools and expertise that SuperDataScience offers, you’ll be well prepared to land your ideal job! . [Click here to discover more!]( [Top 10 Data Visualization Tools of 2023]( In brief: As we saw in last week’s SuperDataScience newsletter, data visualization is becoming increasingly popular due to its critical role in helping businesses make informed decisions. Currently, in 2023, there is a multitude of tools available to choose from. According to this article from Analytics Insight the top 10 data visualization tools for this year are: Tableau, Power BI, JupyteR, Zoho Reports, Google Charts, Visual.ly, RAW, IBM Watson, and Sisense. Tableau is a leader in the space, offering a comprehensive suite of features for data preparation, analysis, and visualization with Power BI standing out for offering a user-friendly interface and integration with other Microsoft products. This article also helpfully discusses how other tools offer unique advantages for specific use cases. Why this is important: By ensuring that they have a good working knowledge of the available visualization tools and their pros and cons, businesses can easily transform complex data sets into actionable insights. [Click here to see the full picture!]( [Drake and The Weeknd AI Song Causes Controversy]( In brief: Universal Music Group (UMG) has created an AI tool that can write songs in the style of specific artists, including ‘Heart on My Sleeve’ by Drake and The Weeknd which went viral last weekend. The AI system, called "Ghostwriter," uses ML to analyse an artist's musical style and lyrics and then generates new songs that are stylistically similar. While the system is designed to assist human songwriters, some critics have raised concerns about the ethical implications of using AI to create music. Others have questioned whether the songs generated by the AI system should be subject to copyright law. These controversies have led to Apple Music, Spotify, Deezer, and Tidal pulling the song from their platforms. Why this is important: The development of AI-generated music highlights the growing role of technology in creative industries and the need for ethical guidelines to govern its use. [Click here to find out more!]( [Super Data Science podcast]( this week's Super Data Science Podcast, Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career. [Click here to find out more!]( --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! Know someone who would benefit from getting The Data Science Insider? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia