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The Data Wizard's Spellbook: Enchanting Python Incantations for Machine Learning

  This blog post covers following four intermediate Python features commonly used in machine learning and data science in a story telling fun way which the  reader would definitely enjoy and appreciate : 1.       List Comprehensions 2.       Lambda Functions 3.       Decorators 4.       Generators Each topic is explained with a practical example relevant to data science tasks, complete with code snippets and their corresponding outputs. Let's begin the story. In the mystical land of Pythonia, there lived a young data wizard named Lyra. She had mastered the basic spells of data manipulation but yearned to unlock more powerful incantations for her machine learning quests. One moonlit night, as she pored over ancient tomes in her tower, a shimmering book appeared on her desk: "The Intermediate Pythonist's Grimoire." As Lyra opened its pages, she was transported into a realm where code and magic intertwined. Join Lyra as she discovers four powerful spells that e
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NLP (Natural Language Processing) and LLM (Large language models) key terminology primer

With the dawn of transformer architecture based on self attention mechanism paper published in 2017 and  OpenAI's introduction of the  first LLM in the world, " chatGPT " in late 2022,which is designed to generate human-like coherent text response based on input prompts provided by the end user, the LLM technology has taken the world by storm and it has become the most popular technology being used in the world in a very short period of time having a lot of applications in various domains and industries. Now-a-days everyone wants to learn about NLP and LLM technologies in depth. But NLP has its own technical jargon and there are  some  key terminologies which must be understood first before  diving deeper into the actual NLP and LLM understanding. This post, to start with, attempts to provide a good ,beginner friendly explanation with suitable examples, aiming for a good clarity about NLP and LLM technology's common key technical  terms, i.e., vector, vector database
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The Future is Above Us: Exploring Next-Generation Non-Terrestrial Networks

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  Introduction Imagine a world where every person, no matter wherever located, has access to fast, reliable internet. Whether one is in the heart of a bustling city, sailing in the middle of the ocean, or exploring the depths of a remote forest, he/she is always connected. This isn’t a scene from a science fiction movie but a glimpse into the future powered by non-terrestrial networks ( NTNs ),an important next generation communication technology. As we stand on the brink of the next generation of communication technology, let's dive deep into what NTNs are, their incredible potential, and what the future holds.                                                            Fig:--Illustration of Non Terrestrial Networks Understanding Non-Terrestrial Networks Non-terrestrial networks, as the name suggests, are networks that rely on platforms beyond the earth's surface to provide communication services. Unlike traditional terrestrial networks, which depend on ground-based infrastruc
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The Future Unfolds: Exploring the Marvels of 6G and Digital Twins

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  In a world that is advancing at lightning speed, have you ever wondered what the next big leap in technology will be? Brace yourselves, because the future is here, and it’s being shaped by 6G and digital twins. Let's embark on a journey to understand these ground-breaking technologies, their transformative potential, and what lies ahead in 2024 and beyond. What is 6G? Before we dive into digital twins, let's discuss about 6G. If you think 5G is fast, prepare to be amazed. 6G, the sixth generation of wireless technology, is set to deliver speeds up to 1000 times faster than 5G,to the order of Terabits per second, which can make the downloads of long HD movies in fractions of seconds, to give an example. One can imagine 6G as a superhighway of information. But it is not just about speed. 6G promises ultra-low latency, enhanced reliability, and the ability to connect an unimaginable number of devices simultaneously, all of which will revolutionize how we connect, interact, and e
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  Best wishes to all of my community members for a grand new year,2022 in every aspect of life.  Please expect regular great c ontent on the blog in 2022 on a variety of topics.
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Scope of machine learning techniques for 5G wireless communication

  5G Introduction: -- Radio access network technology for 5G (5 th generation of wireless networks) is coined as 5G NR (new radio). It was introduced within the release 15 version of the 3GPP specifications. 5G 3GPP specifications are based on following three key use cases. enhanced Mobile Broadband (eMBB) Main goals: 1.        10-20 Gbps peak throughput (100 Mbps guaranteed) 2.        Support for high mobility (500 km/h speeds) 3.        Network energy saving by a factor of 100. Ultra-Reliable and Low Latency Communications (URLLC) Main goals: 1.        Ultra-responsive (5 msec end-to-end latency) 2.        Ultra-reliable and always available (99.9999%) 3.        Low to medium data rates (50 kbps - 10 Mbps) 4.        High speed mobility Massive Machine Type Communications (mMTC) Main goals: 1.        High density of devices (2x10^5 – 10^6 /square km) 2.        Long range   3.        Low data rates (1 - 100 kbps) 4.        Ultra-low cost 5.     
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Best wishes of Gudhi Padwa and Ugadi to everyone. On this auspicious day, I have decided to start penning down my musings over a variety of topics of my concern and interest periodically.
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