Complete Understanding of Python from Scratch CREATE your own Programs and Applications Python for Data Science and Machine Learning If-else statement, For loop and While loop Functions and Lambdas Expressions Master Object Oriented Programming (OOP) in Python 3 Graphical User Interface (GUI) in Python Data Analysis with NumPy Data Analysis with Pandas Matplotlib for Data Visualization NumPy Array, NumPy Operations DataFrames, Pandas Series, Pandas Matrix Write your own Decorators and higher order functions Create your own Generators and other Iterators Build Games with Python Error and Exceptions Handling Write your own Custom Modules Requirements Access to a Computer with an Internet Connection No Prior Knowledge or Experience Needed, Only a Passion to Learn Hello Everyone, Welcome to "Python Programming Bible: Hands-On Python 3 with 10 Projects" Be a Professional Python Programmer and Learn the Most Demanding Skill in the Job Market...

The UAE has set up an artificial intelligence university, claimed to be the first in the world, in Abu Dhabi. The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) was inaugurated on October 17 and it offers courses for undergraduate students. It is also accepting applications for its first masters and PhD programmes this month, with classes scheduled to begin on September 20 next year. All admitted students will be given full scholarship plus benefits such as a monthly allowance, health insurance and accommodation. "AI is already changing the world, but we can achieve so much more if we allow the limitless imagination of the human mind to fully explore it. The university will bring the discipline of AI into the forefront, moulding and empowering creative pioneers who can lead us to a new AI-empowered era," said Sultan Ahmed Al Jaber, UAE Minister of State, who has been appointed Chair of the MBZUAI Board of Trustees and is spearheading the university's establishment.

Companies are increasingly discovering the beneficial link between machine learning and risk assessment. Machine learning can analyze variables faster than humans, helping businesses identify threats and address them. Successful applications exist in industries ranging from finance to health care. Risk management occurs when businesses forecast the things that could adversely affect their finances and assess how to minimize those threats. When companies excel at risk management, they're better able to plan for what could happen and determine how to respond if those situations occur. A growing body of evidence suggests machine learning and risk management is a smart combination.

HYDERABAD: Data acquisition, Python and neutral networks are few topics that students of classes 8 and 9 will be exposed to as part of the artificial intelligence (AI) curriculum, which many Central Board of Secondary Education (CBSE)-affiliated city schools are set to adopt from academic year 2020-21. Early this year, the CBSE had proposed to offer AI as a skill-set to keep up with the changing technology. Following this, the CBSE recently released the AI curriculum facilitator's handbook, which details various topics such as AI ethics, problem scoping, data acquisition, exploration and modelling. Curated by Intel, the curriculum will not only make students inquisitive but will also teach them basic tools that are required to develop AI-based solutions. For example, in Unit 1, students will be asked to prepare a dream smart home by including any gadgets or devices that they think will make their homes unique.

Programmers and developers can tap into a variety of languages to build applications, websites, and other programs. Ultimately, your preferred language is going to be the one with which you're most comfortable and that gets the job done most effectively. But one particular language emerged as the top choice in a study released in September by the IEEE, and that's Python. To gauge the popularity of different languages, the IEEE's study ranked 11 data points from eight different sources: CareerBuilder, Google, GitHub, Hacker News, the IEEE, Reddit, Stack Overflow, and Twitter. Depending on the source, the IEEE looked at such factors as searches, new repositories, posts mentioning each language, and job postings made within the last 30 days.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them--software engineers--are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness?

One of the most common misperceptions I hear about bias is "If I don't use age, gender or race, or similar factors in my model, it's not biased." Even though the same people holding this opinion know that machine learning can learn relationships between data, they don't understand that there are proxies to biased data types in other features that are captured. These proxies are called confounding variables and, as the term indicates, unintended variables can confuse the model into producing biased results. For example, if a model includes the brand and version of an individual's mobile phones, that data can be related to the ability to afford an expensive cell phone -- a characteristic that can impute income. If income is not a factor desired to use directly in the decision, imputing that information from data, such as the type of phone or the size of the purchases that the individual makes, introduces bias into the model.

Our Machine Learning models gives organizations the room to strategize their business decisions based on insights derived from programs that iteratively learn and develop to make more accurate decisions. Our algorithms help in data-driven decisions that define the retailers' success. Machine learning facilitates the continuous advancement of computing by exposing the models to new situations, testing and adapting, through pattern and trend detections for making improved decisions in future but not identical scenarios. Our focus area is the ability to easily analyze and create prediction models based on huge sets of master data that is business information shared across your entire organization. This includes data sets about the infrastructure including network, storage, and more.

Abu Dhabi has announced that it has established the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) the first graduate level, research-based artificial intelligence university in the world. MBZUAI will enable graduate students, businesses, and governments to advance in the AI field, and will introduce a new model of academia and research to the field of AI. This will provide students and faculty access to some of the world's most advanced AI systems to unleash its potential for economic and societal development, it said. Dr Sultan Ahmed Al Jaber, Minister of State, who has been appointed Chair of the MBZUAI Board of Trustees and is spearheading the establishment of the University, said the university aligns with the vision of the UAE leadership and is based on sustainable development and finding practical solutions based on innovation and state-of-the-art technology. The University will offer Master of Science, MSc, and PhD level programmes in key areas of AI – Machine Learning, Computer Vision, and Natural Language Processing – while also engaging policymakers and businesses around the world so that AI is harnessed responsibly as a force for positive transformation. MBZUAI has partnered with the Abu Dhabi-based Inception Institute of Artificial Intelligence (IIAI), a global force in excellence and leadership of AI research, for the supervision of PhD students and curriculum development.

Abu Dhabi announced the establishment of the Mohamed bin Zayed University of Artificial Intelligence, which will enable graduate students, businesses, and governments to advance the artificial intelligence field. The University will introduce a new model of academia and research to the field of AI, providing students and faculty access to some of the world's most advanced AI systems to unleash its potential for economic and societal development. Dr. Sultan Ahmed Al Jaber, Minister of State, who has been appointed Chair of the MBZUAI Board of Trustees and is spearheading the establishment of the University, said, "Mohamed bin Zayed University of Artificial Intelligence aligns with the vision of the UAE leadership that is based on sustainable development, progress and the overall well-being of humanity. Experts from around the world have been selected for the University's Board of Trustees, WAM reported. They include MBZUAI Interim President, Professor Sir Michael Brady, professor of Oncological Imaging at the University of Oxford, UK; Professor Anil K. Jain, a University Distinguished Professor at Michigan State University, USA; Professor Andrew Chi-Chih Yao, Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University, Beijing, China; Dr. Kai-Fu Lee, a technology executive and venture capitalist based in Beijing, China; Professor Daniela Rus, Director of Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, USA, and Peng Xiao, CEO of Group 42. The Board of Trustees will be supported by an Advisory Board, chaired by Omar bin Sultan Al Olama, Minister of State for Artificial Intelligence, and will include Sarah bint Yousif Al Amiri, Minister of State for Advanced Sciences; Dr. Ahmad bin Abdullah Humaid Belhoul Al Falasi, Minister of State for Higher Education and Advanced Skills; Jassim Al Zaabi, Chairman of the Department of Finance, and Dr. Wan Li Min, Chief Machine Intelligence Scientist at Alibaba. Over the next decade, AI is set to have a transformational impact on the global economy, with experts estimating that, by 2030, AI could contribute nearly US$16 trillion to the global economy. Al Jaber added, "The invention of electricity, the railroad, smartphones all transformed the world as we knew it.