AutoML and the emerging approach of declarative ML help simplify the process of creating and refining ML models.
Published at:
https://www.eckerson.com/articles/automl-and-declarative-machine-learning-comparing-use-cases

AutoML And Declarative Machine Learning: Comparing Use Cases - Audio Blog

Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session.

This episode is brought to you by Oracle NetSuite business software (https://netsuite.com/superdata), and by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Why Zerve IDE is so sorely needed [04:50]
• Pypelines: AutoML open-source in python [30:00]
• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]
• How AutoML will impact the role of the data scientist [53:21]
• Greg's background as a pastor and working at DataRobot [1:03:40]
• How to develop impressive communication and storytelling skills [1:16:16]

Additional materials: www.superdatascience.com/753

The Super Data Science Podcast: Machine Learning | AI | Success

753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson

Welcome to another episode of "AI with Shaily!" 🎉 Your host, Shailendra Kumar, is here to guide you through the exciting world of artificial intelligence. Today, we're diving into the intriguing concept of Automated Machine Learning, or AutoML. This area is full of innovation and potential, making it a hot topic in the tech world.

Imagine being at a lively tech expo, where every booth is showcasing flashy technology and jargon. In the midst of all that, there's a simple stand promising machine learning without the need for complex coding. That's the essence of AutoML! 🚀 The market for AutoML is booming, with projections estimating it will reach an impressive $3.13 billion by 2025, growing at an astonishing rate of 47.9%. Shaily humorously compares this excitement to the moment when his neighbor's dog learned to fetch slippers!

So, what’s driving this growth? One significant advancement is bilevel optimization, which brings together tasks like meta-feature learning and hyperparameter tuning. This approach enhances the efficiency and power of AutoML models, akin to having a personal trainer for your algorithms, ensuring they perform at their best. 💪

Leading companies like AND Solutions are at the forefront of this revolution, creating user-friendly platforms like NIKO AutoML that allow individuals to build machine learning models without writing a single line of code. Just imagine a tool that’s as approachable as a golden retriever but as versatile as a Swiss Army knife! 🐶🔧

Shaily also touches on the impact of major AI advancements from OpenAI's GPT-5 and Google's Gemini Advanced. While these aren’t strictly AutoML, they serve as powerful influences, enhancing AutoML tools with their sophisticated capabilities, much like having an experienced chef in your kitchen. 👨‍🍳

Reflecting on his own journey in AI, Shaily recalls a time when accessible AI tools were scarce. Now, AutoML is democratizing artificial intelligence, making it accessible to those who may not be well-versed in technical jargon. It's a game-changer! 🌍

For those interested in exploring AutoML further, Shaily advises keeping an eye on platforms that incorporate cutting-edge AI technology. This is akin to adding a jetpack to your regular bicycle—an exciting enhancement! 🚴‍♂️💨

As we look toward the future of AutoML, Shaily shares a thought-provoking quote: "Automation does not need to be our enemy. I think machines can make life easier for men if men do not let the machines dominate them." This sentiment emphasizes the importance of balance in our relationship with technology. ⚖️

Before wrapping up, Shaily encourages viewers to engage in the conversation. He invites everyone to follow him on YouTube, Twitter, LinkedIn, and Medium for more insights on their AI journey. He wants to hear your thoughts on what AutoML's greatest contribution to AI will be—so don’t hesitate to share in the comments! 💬

Stay tuned for more thrilling explorations of the AI universe, and remember to subscribe, stay curious, and continue learning. Until next time, keep pondering and embracing the wonders of this new world! 🌟

AutoML Unleashed: The Future of Machine Learning Without the Code

In this engaging episode of "AI with Shaily," host Shailendra Kumar dives into the fascinating world of AutoML, exploring its rising significance across various industries and the ongoing debate about its potential to replace data scientists. 🎙️✨

Shailendra opens the discussion by highlighting the current buzz surrounding AutoML, particularly its transformative impact on sectors like finance and healthcare. He paints a vivid picture of banks and hospitals, once bogged down by extensive paperwork, now thriving with AI-driven decision-making processes. This sets the stage for a thought-provoking question: Could AutoML make data scientists obsolete? 🤔

The conversation takes a lively turn as Shailendra compares the debate over AutoML's role in the workforce to the lighthearted controversy of pineapple on pizza. He emphasizes that while AutoML can automate tedious tasks such as data preprocessing and hyperparameter tuning, it cannot replace the creative and strategic insights that human data scientists bring to the table. The unique qualities of human intuition and oversight remain irreplaceable in the realm of data science. 🧠💡

Shailendra also showcases the latest AutoML tools, likening them to Swiss Army knives packed with features that simplify complex processes like hyperparameter optimization and neural architecture search. However, he doesn't shy away from addressing the ethical challenges that accompany this technological advancement. Questions about bias in automated models and the future of AI governance are raised, emphasizing the importance of these issues in the ongoing discourse among tech enthusiasts on platforms like Reddit and Twitter. ⚖️💻

Sharing a personal anecdote, Shailendra reflects on his journey into AI, recalling how the concept of machines automating model crafting once felt like a scene from a science fiction movie. Now, he acknowledges that this reality is upon us, encouraging listeners to view algorithms not merely as rules but as the very rhythm of the digital age. 🎶🚀

As the episode draws to a close, Shailendra offers a valuable tip for staying updated on AutoML trends. He suggests utilizing tools like Google Trends and exploring hashtags on TikTok and YouTube to keep one's AI knowledge sharp. 📈🔍

In a motivational quote, he reminds listeners that "Technology is best when it brings people together," inviting them to consider how AutoML can harmonize human creativity with machine efficiency. Before signing off, Shailendra encourages engagement on social media, inviting listeners to connect with him on platforms like YouTube, Twitter, LinkedIn, and Medium. He prompts them to share their opinions on AutoML and whether it can truly take on the role of a data scientist, inviting comments and discussions. 💬🌐

With a cheerful farewell, Shailendra Kumar leaves his audience with a reminder to stay curious and keep innovating in the world of AI, signing off from "AI with Shaily." Happy innovating! 🎉

AutoML Unleashed: Will It Replace Data Scientists?

This article breaks down the evolving landscape of AI/ML platforms, from AutoML to full-stack AI workbenches, and provides a structured tool evaluation framework to cut through vendor ambiguity.
Published at:
https://www.eckerson.com/articles/the-ai-ml-tool-evaluation-template-a-guide-to-smarter-selection

The AI/ML Tool Evaluation Template: A Guide to Smarter Selection - Audio Blog

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #AutoML