DATA VISUALIZATION AND INTERPRETATION USING MACHINE LEARNING

Anjan Kumar Reddy Ayyadapu · Niyati Bhat · Dr. Anil Kumar · Dr. S A Sivasankari

ມ.ສ. 2024 · Xoffencerpublication

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Among the various definitions of artificial intelligence, "machine-made intelligence" and "an artificial embodiment of some or all of the intellectual abilities possessed by humans" are two examples of what is meant by the term. Among the different explanations of artificial intelligence, the following are some essential points: "machines endowed with human-level intellect that can comprehend human-level reasoning, conduct, and thought processes." It is commonly believed that the ability to "apply prior knowledge and experience to achieve challenging new tasks" is what distinguishes a person as intelligent. One may make the case that this is a reference to the inherent wisdom that people possess in the end. In addition to being connected to the capacity for learning, this ability can be leveraged to respond in a flexible manner to a variety of situations and obstacles. A person's learning ability can be defined as their capability to learn new things in a short amount of time and in a comprehensive manner, or to acquire the same information in a more sophisticated manner. There is a correlation between prior knowledge and academic achievement, intellectual reasoning, and behavior; hence, intelligence may be molded via the process of being exposed to new material and training. It is for this reason that "the ability to solve problems" is frequently considered to be the starting point and ultimate definition of intelligence. When it comes to addressing a wide variety of problems, we require individuals who possess a high level of intelligence. Consider the game of chess as an illustration. You'll need to draw on knowledge from a broad variety of sources, such as books, internet resources, and other players, in order to make accurate guesses and put them into action. In order to carry out these acts, a high level of cognitive capacity is required, and it is via intelligencebased learning that new ways of thinking are developed. "Thought" is defined as "consciousness" in scientific contexts, which in turn characterize it as "experience" of an object in its whole.

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Anjan Kumar Reddy Ayyadapu is a Big data Solutions Architect leading Edge to AI Platform Solutions at Cloudera. He held several roles in Accelerating Digital Transformation for world’s largest enterprises delivering Modern Innovative Solutions on hybrid data platform using the Power of Generative AI and Secure Data Management. He is a certified AI, Machine Learning Engineer from Stanford University, Google Cloud and Amazon Web Services Solution Architect with Cyber Security Administration on Private & Public clouds like AWS, GCP. Anjan earned Master of Science from University of South Alabama and Bachelor of Technology from Jawaharlal Nehru Technological University.

Niyati Bhat is an accomplished researcher specializing in Artificial Intelligence, Machine Learning, and Deep Learning. Niyati earned her Master's in Computer Science from California State University-Long Beach in 2017, building on her foundation in computer engineering obtained in 2014 from the University of Mumbai. In recognition of her significant contributions, she received the "YOUNG RESEARCHER AWARD" in 2024 for her work in AI. Niyati has also co-authored technical papers featured in reputable international journals like IEEE, showcasing her commitment to advancing these fields.

Dr. Anil Kumar stands out as a remarkable figure in the realm of Chemistry, blending 16 years of teaching and research excellence with significant contributions to education and innovation. As Head of the Department, his leadership extends beyond academia, embracing administrative prowess and a commitment to creating a nurturing educational environment. His creation of the ACMI model demonstrates a dedicated effort to bridge theoretical chemistry with practical applications, particularly in the microbial study of complexes. Through his YouTube channel, "HOTSPOT CHEMISTRY BY DR ANIL KUMAR," he significantly expands the reach of his expertise, democratizing education for a wider audience. Dr. Kumar's proficiency with advanced analytical instruments and his exploration of AI and IoT signify a progressive approach to scientific research. His prolific output includes over 80 publications, authorship of pivotal texts in chemistry, and the guidance of numerous scholars, highlighting his role as a beacon of knowledge and innovation. Through his active participation in various committees and coordination roles, he has made notable contributions to the academic community, receiving national and international recognition. Dr. Kumar's work exemplifies a synergistic blend of leadership, research, and a dedication to education, positioning him as a key figure in advancing the field of chemistry and its application in solving global challenges.

Dr. S A Sivasankari is a Assistant professor in Vignan Foundation for science technology and research. She joined in this university in the department of electronics and communication engineering. Her research and teaching continues more than one decades at various Universities and affiliated colleges. She is the author and co-author of 2 books on block chain technology and deep learning technology. As a teacher her potential is best in all electronic basic subjects. She is the author and co-author of over 30 Research papers and her contribution have been published in high impact factor journals . Her current research interests are in the areas in Low power VLSI, IoT, telecommunication, machine learning and Artificial intelligence. She holds her B.E(ECE), MTech (VLSI DESIGN), PhD from SIMATS and Post-Doctoral Fellowship from UNISINOS (BRAZIL)

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