PIBM offers MBA PGDM Courses. PGDM Program in Applied Business Analytics trains the students for the latest most in-demand skills required by the emerging industries. Visit https://bit.ly/3z6trov
San Francisco Hacker News - Machine Learning for HackersAdam Gibson
This was for the san francisco hacker news meetup in february at engineyard.
This was intended as a basic intro to machine learning for people who wanted to step in to the field.
Video coming shortly.
San Francisco Hacker News - Machine Learning for HackersAdam Gibson
This was for the san francisco hacker news meetup in february at engineyard.
This was intended as a basic intro to machine learning for people who wanted to step in to the field.
Video coming shortly.
Slide presentasi ini dibawakan oleh Imron Zuhri dalam acara Seminar & Workshop Pengenalan & Potensi Big Data & Machine Learning yang diselenggarakan oleh KUDO pada tanggal 14 Mei 2016.
Generative AI - The Future of Creation (Presentation by Aishwarya Ramesh)Aishwarya Ramesh
Hey people,
I'm Aishwarya, a Generative AI Educator and a Talent Acquisition Partner.
I'm an experienced Technical Recruiter with a deep-rooted passion for Generative AI, and I excel at the intersection of talent acquisition and cutting-edge technology.
I'm constantly sharpening my skills in identifying, attracting, and engaging top-tier talent, specializing in roles that push the boundaries of innovation and technology.
Let's Connect! Whether you're looking to explore new opportunities, seeking talent for your team, or simply wish to chat about the latest in AI and tech, I'm just a message away.
Anyway, welcome to my presentation on Generative AI, where we'll dive into the world of machine creativity. In this session, we'll explore how Generative AI is reshaping industries and driving innovation.
Discover how machines are learning to think creatively and produce original content in various forms, from art and music to writing and design. We'll discuss the underlying principles of Generative AI in simple terms, along with its real-world applications and implications.
Whether you're new to AI or an industry professional, this presentation will provide valuable insights into the exciting possibilities of Generative AI. Join us as we uncover the potential of machine creativity and its impact on the future of technology.
Feedback is welcome. If you would like customized content and reading material for this topic, please feel free to reach out to me on email.
findingash@outlook.com
Deep Learning Image Processing Applications in the EnterpriseGanesan Narayanasamy
The presentation has many use cases covering the following Image classification: "The process of identifying and detecting an object or a feature in a digital image or video," the report states. In retail, deep learning models "quickly scan and analyze in-store imagery to intuitively determine inventory movement."
Voice recognition: "The ability to receive and interpret dictation or to understand and carry out spoken commands. Models are able to convert captured voice commands to text and then use natural language processing to understand what is being said and in what context." In transportation, deep learning "uses voice commands to enable drivers to make phone calls and adjust internal controls - all without taking their hands off the steering wheel."
Anomaly detection: "Deep learning technique strives to recognize abnormal patterns which don't match the behaviors expected for a particular system, out of millions of different transactions. These applications can lead to the discovery of an attack on financial networks, fraud detection in insurance filings or credit card purchases, even isolating sensor data in industrial facilities signifying a safety issue."
Recommendation engines: "Analyze user actions in order to provide recommendations based on user behavior."
Sentiment analysis: "Leverages deep learning-heavy techniques such as natural language processing, text analysis, and computational linguistics to gain clear insight into customer opinion, understanding of consumer sentiment, and measuring the impact of marketing strategies."
Video analysis: "Process and evaluate vast streams of video footage for a range of tasks including threat detection, which can be used in airport security, banks, and sporting events."
A vision on collaborative computation of things for personalized analysesDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
This presentation gives you a broad overview of Artificial Intelligence. It explains briefly the technologies and concepts that fall under the domain of AI.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
大會主題演說 2: AI x 機器學習,無所不在!Ubiquity of AI and Machine Learning in our Everyday ...Amazon Web Services
大會主題演說 2: AI x 機器學習,無所不在!Ubiquity of AI and Machine Learning in our Everyday Life
Olivier Klein, Head of Emerging Technologies, APAC, AWS Solutions Architecture
This slide is more of basic introduction to Artificial intelligence and a course designed for the students who would like to start there career in Artificial Intelligence.
Advancements in Artificial Intelligence (AI) Infographic.pdfsmadake38
Advances in Artificial Intelligence: A Visual Exploration
Description:
Explore the cutting-edge developments in Artificial Intelligence with our informative infographic. From Natural Language Processing (NLP) to Explainable AI (XAI), this visual journey showcases six key advancements shaping the future of AI technology.
Natural Language Processing (NLP): Dive into the world of language processing as we unveil the capabilities of OpenAI's GPT-3 and the strides made in understanding and generating human-like text.
Machine Learning Algorithms: Witness the evolution of machine learning, empowering accurate predictions and decision-making through advanced algorithms and deep learning techniques.
Computer Vision: Uncover the magic behind machines' ability to interpret visual information, with breakthroughs in object detection, facial recognition, and real-time image classification.
Reinforcement Learning: Experience the trial and error learning process of reinforcement learning, showcasing its application in mastering complex tasks such as gaming and robotic control.
Generative Adversarial Networks (GANs): Peer into the fascinating world of GANs, where generators and discriminators collaborate to create realistic images, deepfakes, and synthetic data.
Explainable AI (XAI): Gain insights into the transparency of AI systems, as Explainable AI aims to make machine learning models more understandable and interpretable, fostering trust. blog linkhttps://www.slideshare.net/smadake38/unraveling-artificial-intelligence
Semantic Artificial Intelligence is the fusion of various types of AI, incl. symbolic AI, reasoning, and machine learning techniques like deep learning. At the same time, Semantic AI has a strong focus on data management and data governance. With the 'wedding' of various AI techniques new promises are made, but also fundamental approaches like 'Explainable AI (XAI)', knowledge graphs, or Linked Data are more strongly focused.
POTENTIAL IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE(AI) ON THE FINANCIAL I...IJCI JOURNAL
Presently, generative AI has taken center stage in the news media, educational institutions, and the world
at large. Machine learning has been a decades-old phenomenon, with little exposure to the average person
until very recently. In the natural world, the oldest and best example of a “generative” model is the human
being - one can close one’s eyes and imagine several plausible different endings to one’s favorite TV show.
This paper focuses on the impact of generative and machine learning AI on the financial industry.
Although generative AI is an amazing tool for a discriminant user, it also challenges us to think critically
about the ethical implications and societal impact of these powerful technologies on the financial industry.
It requires ethical considerations to guide decision-making, mitigate risks, and ensure that generative AI is
developed and used to align with ethical principles, social values, and in the best interests of communities.
Slide presentasi ini dibawakan oleh Imron Zuhri dalam acara Seminar & Workshop Pengenalan & Potensi Big Data & Machine Learning yang diselenggarakan oleh KUDO pada tanggal 14 Mei 2016.
Generative AI - The Future of Creation (Presentation by Aishwarya Ramesh)Aishwarya Ramesh
Hey people,
I'm Aishwarya, a Generative AI Educator and a Talent Acquisition Partner.
I'm an experienced Technical Recruiter with a deep-rooted passion for Generative AI, and I excel at the intersection of talent acquisition and cutting-edge technology.
I'm constantly sharpening my skills in identifying, attracting, and engaging top-tier talent, specializing in roles that push the boundaries of innovation and technology.
Let's Connect! Whether you're looking to explore new opportunities, seeking talent for your team, or simply wish to chat about the latest in AI and tech, I'm just a message away.
Anyway, welcome to my presentation on Generative AI, where we'll dive into the world of machine creativity. In this session, we'll explore how Generative AI is reshaping industries and driving innovation.
Discover how machines are learning to think creatively and produce original content in various forms, from art and music to writing and design. We'll discuss the underlying principles of Generative AI in simple terms, along with its real-world applications and implications.
Whether you're new to AI or an industry professional, this presentation will provide valuable insights into the exciting possibilities of Generative AI. Join us as we uncover the potential of machine creativity and its impact on the future of technology.
Feedback is welcome. If you would like customized content and reading material for this topic, please feel free to reach out to me on email.
findingash@outlook.com
Deep Learning Image Processing Applications in the EnterpriseGanesan Narayanasamy
The presentation has many use cases covering the following Image classification: "The process of identifying and detecting an object or a feature in a digital image or video," the report states. In retail, deep learning models "quickly scan and analyze in-store imagery to intuitively determine inventory movement."
Voice recognition: "The ability to receive and interpret dictation or to understand and carry out spoken commands. Models are able to convert captured voice commands to text and then use natural language processing to understand what is being said and in what context." In transportation, deep learning "uses voice commands to enable drivers to make phone calls and adjust internal controls - all without taking their hands off the steering wheel."
Anomaly detection: "Deep learning technique strives to recognize abnormal patterns which don't match the behaviors expected for a particular system, out of millions of different transactions. These applications can lead to the discovery of an attack on financial networks, fraud detection in insurance filings or credit card purchases, even isolating sensor data in industrial facilities signifying a safety issue."
Recommendation engines: "Analyze user actions in order to provide recommendations based on user behavior."
Sentiment analysis: "Leverages deep learning-heavy techniques such as natural language processing, text analysis, and computational linguistics to gain clear insight into customer opinion, understanding of consumer sentiment, and measuring the impact of marketing strategies."
Video analysis: "Process and evaluate vast streams of video footage for a range of tasks including threat detection, which can be used in airport security, banks, and sporting events."
A vision on collaborative computation of things for personalized analysesDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
This presentation gives you a broad overview of Artificial Intelligence. It explains briefly the technologies and concepts that fall under the domain of AI.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
大會主題演說 2: AI x 機器學習,無所不在!Ubiquity of AI and Machine Learning in our Everyday ...Amazon Web Services
大會主題演說 2: AI x 機器學習,無所不在!Ubiquity of AI and Machine Learning in our Everyday Life
Olivier Klein, Head of Emerging Technologies, APAC, AWS Solutions Architecture
This slide is more of basic introduction to Artificial intelligence and a course designed for the students who would like to start there career in Artificial Intelligence.
Advancements in Artificial Intelligence (AI) Infographic.pdfsmadake38
Advances in Artificial Intelligence: A Visual Exploration
Description:
Explore the cutting-edge developments in Artificial Intelligence with our informative infographic. From Natural Language Processing (NLP) to Explainable AI (XAI), this visual journey showcases six key advancements shaping the future of AI technology.
Natural Language Processing (NLP): Dive into the world of language processing as we unveil the capabilities of OpenAI's GPT-3 and the strides made in understanding and generating human-like text.
Machine Learning Algorithms: Witness the evolution of machine learning, empowering accurate predictions and decision-making through advanced algorithms and deep learning techniques.
Computer Vision: Uncover the magic behind machines' ability to interpret visual information, with breakthroughs in object detection, facial recognition, and real-time image classification.
Reinforcement Learning: Experience the trial and error learning process of reinforcement learning, showcasing its application in mastering complex tasks such as gaming and robotic control.
Generative Adversarial Networks (GANs): Peer into the fascinating world of GANs, where generators and discriminators collaborate to create realistic images, deepfakes, and synthetic data.
Explainable AI (XAI): Gain insights into the transparency of AI systems, as Explainable AI aims to make machine learning models more understandable and interpretable, fostering trust. blog linkhttps://www.slideshare.net/smadake38/unraveling-artificial-intelligence
Semantic Artificial Intelligence is the fusion of various types of AI, incl. symbolic AI, reasoning, and machine learning techniques like deep learning. At the same time, Semantic AI has a strong focus on data management and data governance. With the 'wedding' of various AI techniques new promises are made, but also fundamental approaches like 'Explainable AI (XAI)', knowledge graphs, or Linked Data are more strongly focused.
POTENTIAL IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE(AI) ON THE FINANCIAL I...IJCI JOURNAL
Presently, generative AI has taken center stage in the news media, educational institutions, and the world
at large. Machine learning has been a decades-old phenomenon, with little exposure to the average person
until very recently. In the natural world, the oldest and best example of a “generative” model is the human
being - one can close one’s eyes and imagine several plausible different endings to one’s favorite TV show.
This paper focuses on the impact of generative and machine learning AI on the financial industry.
Although generative AI is an amazing tool for a discriminant user, it also challenges us to think critically
about the ethical implications and societal impact of these powerful technologies on the financial industry.
It requires ethical considerations to guide decision-making, mitigate risks, and ensure that generative AI is
developed and used to align with ethical principles, social values, and in the best interests of communities.
Similar to PIBM - PGDM in Applied Business Analytics (20)
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
8. Image Processing:
Smoothing, De-noising, Histogram Equalization,
Multi-Scale Pyramids
Color Constancy
and De-mosaicing
Image Filtering
and Recognition
Scene Understanding,
Vision & Language
COMPUTER
VISION
15. DR. MANISH GODSE
Senior Professor
PIBM
DR. ASHUTOSH SHUKLA
Director - ML
ROYAL BANK OF SCOTLAND
DR. RANADHIR GHOSH
Director - ML
FIS GLOBAL
DR. RAJESH DEVASIA
Director - Applied AI
COURSE5 INTELLIGENCE
DR. PRASENJIT MUKHERJEE
Assistant Professor
PIBM
DR. MANIK HENDRE
Assistant Professor
PIBM
OUR
TRAINERS