Tag: Machine learning
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How to use GPT to analyze large datasets
Posted on October 30, 2024, Level intermediate Resource Length medium
Absorbing and then summarizing very large quantities of content in just a few seconds truly is a big deal. As an example, a while back I received a link to the recording of an important 90 minute business video conference that I'd missed a few hours before. By David Clinton.
Tags big-data machine-learning apis ai azure database cloud
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Qualcomm: Generative AI and impressive diversification signal a new era of growth
Posted on June 22, 2024, Level beginner Resource Length short
QCOM's entry into the AI chips market seems promising, with MSFT endorsing the ARM-based Snapdragon X Elite CPU chips as the "fastest, most AI-ready PC ever built." By Juxtaposed Ideas.
Tags infosec management ai cio machine-learning
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Shift left vs shift right: A DevOps mystery solved
Posted on June 19, 2024, Level beginner Resource Length short
Shift left and shift right are core testing concepts of the agile DevOps methodology, which speeds up application development by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift left and shift right principles to ensure software quality in these dynamic environments. By Saif Gunja.
Tags devops machine-learning tdd docker containers
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How IBM is helping accelerate AI adoption and application centric connectivity
Posted on March 19, 2024, Level beginner Resource Length short
Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address. Top of mind for me are three key challenges, and opportunities, to which we must all pay attention, should we expect our industry to remain healthy. By Andrew Coward.
Tags ibm ai cio management big-data machine-learning
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Mastering Python for Data Science: Beyond the basics
Posted on March 18, 2024, Level beginner Resource Length medium
Python reigns supreme in the data science world, yet many aspiring (and even veteran) data scientists only scratch the surface of its true capabilities. To truly master data analysis with Python, you must venture beyond the basics and use advanced techniques tailored for efficient data manipulation, parallel processing, and leveraging specialized libraries. By Nahla Davies.
Tags python app-development web-development big-data machine-learning
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How to use low-code to enable machine learning
Posted on January 26, 2024, Level beginner Resource Length medium
Can low-code enable machine learning? Certainly. In fact, it's an excellent method for simplifying and accelerating the use of machine learning–and enabling developers without data science backgrounds to build software powered by machine learning. In this blog, I make the case for using low-code to develop machine learning apps. By Forsyth Alexander.
Tags robotics cio miscellaneous machine-learning
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Intel dives deeper into AI with new mobile and server processors
Posted on January 18, 2024, Level beginner Resource Length medium
Intel's momentus "AI Everywhere" campaign to show it is a strong competitor in the AI chip arena moved into high gear Thursday. CEO Pat Gelsinger and top executives argued the company can help customers with AI training and inference jobs across huge data centers as well as aboard AI PCs and even on smaller mobile devices. By Matt Hamblen.
Tags cloud gcp servers machine-learning ai performance miscellaneous
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FinOps sketchnotes: Introducing cloud FinOps
Posted on January 17, 2024, Level intermediate Resource Length medium
Transitioning to the cloud means more than just migrating your workloads or building innovative new apps. While it's a great first step for your organization, it's just the beginning. To truly maximize the value of your cloud investments requires a fundamental shift in mindset and culture to rethink how your organization operates when imbued with technology. By Eric Lam and Pathik Sharma.
Tags cloud gcp machine-learning big-data performance cio
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Everything you need to know about Arduino shields
Posted on January 16, 2024, Level intermediate Resource Length medium
Arduino is a popular open-source electronics platform that has revolutionised the world of DIY projects. With its powerful microcontrollers and versatile programming environment, Arduino allows enthusiasts and professionals alike to bring their creative ideas to life. One of the key features that make Arduino even more powerful is the availability of shields. By Jack Portley.
Tags iot how-to machine-learning big-data performance robotics
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ARM Blackhawk CPU: Can Cortex-X5 help Android beat Apple chipset performance?
Posted on January 13, 2024, Level beginner Resource Length short
It's no secret that Android processors, whether Qualcomm or MediaTek, have consistently lagged behind Apple in terms of raw performance. However, a recent report from Moor Insights and Strategy suggests that after decades of trailing, ARM could narrow the gap and potentially surpass Apple's offerings with the upcoming Cortex X5 CPU core. By Hisan Kidwai.
Tags miscellaneous machine-learning android performance cio
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Privacy, security, accuracy: How AI chatbots are handling your deepest data concerns
Posted on January 12, 2024, Level beginner Resource Length medium
ChatGPT is an amazing tool – millions of people are using it to do everything from writing essays and researching holidays to preparing workout programs and even creating apps. The potential of generative AI feels endless. By Niamh O'Connor.
Tags ai machine-learning app-development bots
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TOPS AI vs. real world performance
Posted on January 10, 2024, Level beginner Resource Length short
Burgeoning machine learning and AI emerging use cases promise to create significant value for industries via accelerated information processing and increased accuracy of decision-making. But machine learning models are compute-intensive, demand high-frequency, and real-time AI analysis scenarios, which has led enterprises to lean on performance guidance using the metric Trillions of Operations Per Second (TOPS). TOPS captures "how many mathematical operations can an accelerator deliver in one second?" to compare and identify the best accelerator for a given inference task. By Rehan Hameed.
Tags ai how-to machine-learning big-data performance