Goto

Collaborating Authors

Gujarat


Descriptive Statistics for Data-driven Decision Making with Python

#artificialintelligence

“Data is like garbage! You’d better know what you’re going to do with it before you collect it.” ~ Mark TwainThis is not a typical reference book for descriptive statistics. Instead, we take an in-depth look at what methods you would be foolish not to use in data science or machine learning. In this book, we dive into descriptive statistics with Python and an overview of what is crucial to know to obtain the most advantage of what we show you. Descriptive statistics is essential for decision making based on data. Using descriptive statistics will give you a way to make straightforward decisions on your decision making without complex methodology. Descriptive statistics form the fundamental platform for every quantitative data analysis."Diving into Descriptive Statistics with Python" is a book by Pratik Shukla and Roberto Iriondo. Between us, we have worked together for the past year to create this material and prepare you for straightforward, data-driven decision making. Please know that this is an experience-based, opinionated book. We only cover topics that will help you make the most out of using descriptive statistics for data-driven decision making.Book Sample:You can access a sample of this book through this article or this PDF. No email address needed.Contents:Population and SampleProbability Sampling TechniquesSimple Random SamplingSystematic SamplingStratified SamplingClustered SamplingNon-probability Sampling TechniqueConvenience SamplingQuota SamplingJudgemental SamplingSnowball SamplingWhat is Statistics?Importance of Statistics In Data-science and Machine LearningTypes of StatisticsMeasure of Central TendencyArithmetic MeanWeighted MeanMean of Categorical DataGeometric MeanHarmonic MeanMedianModeMeasure of Spread/DispersionQuantilesPercentile in DetailRangeInterquartile Range(IQR)Box and Whisker PlotVarianceStandard DeviationDegree of FreedomMean DeviationCoefficient of VariationSkewnessKurtosisCovariance and CorrelationMomentsStandard ErrorConfidence IntervalStem and Leaf diagramDot PlotsFrequency DistributionRelative FrequencyCumulative Relative FrequencyAbout the Authors:Pratik Shukla is a machine learning engineer with Towards AI. He is pursuing his master's degree in computer science in the US starting in 2021. His current goals are motivated by the purpose of learning something new and remarkable every day. His research interests lie in machine learning and its applications, especially in astronomy and astrophysics. Previously, he received his B.Tech. from Gujarat Technological University, and his work has been featured in many places, from KDNuggets, Nightingale, and others. Roberto Iriondo is the founder of Towards AI, a globally recognized publication and software company, and a front-end engineer at Carnegie Mellon University. As a builder and strategist by heart, his work has helped several companies to achieve their business goals and needs, from Anyscale, Superb AI, Determined AI, Lambda, Udacity, and many others.FAQ:What's the refund policy?We thank you for supporting Towards AI. If what you see is not what you expected, please reply to the download email within 30 days, and you'll get a full refund.Can I share this book with my team?This version is for individual use only, but we are working on a team license to share with your team, class, or organization.Resources:Google Colab. Github.DISCLAIMER: The views expressed in this book are those of the author(s) and do not represent the views of any company (directly or indirectly) associated with the author(s). This book does not intend to be a final product, yet rather a reflection of current thinking along with being a catalyst for discussion and improvement.


'Video games are a great place for politics': meet India's modern magical realists

The Guardian

In Gujarat, a tiny independent studio is drawing on India's rich literary history to create surreal games that flow like visual poems, evoking decades of colonial literature and folk theatre to draw attention to the politics of today. Through fantastical environments where buildings and oversized monuments are made of rubber sandals and toothpaste tubes, Studio Oleomingus – made up of writer/artist Dhruv Jani and programmer Sushant Chakraborty, with help from another programmer, Vivek Savsaiya – crafts interactive stories that cast a playful light on India's complicated past and present. "We find video games to be excellent spaces for political discourse," Jani tells me over Skype. "The government is hardly bothered about something as'trivial' as video games, and they also give you a lot of room to think and ponder complex ideas." The studio's short, experimental games, drenched in vibrant colours and otherworldly imagery, pay homage to the magical realist, nonsense literature that defined many Indian childhoods.


AI-based facial recognition to strengthen law enforcement in Gujarat

#artificialintelligence

The Vadodara City Police has reported having successfully tested an Artificial Intelligence (AI) based Facial Recognition System (FRS) to track missing offenders. According to the Vadodara City police, this system will help the city strengthen its law enforcement system as well as curb crime.


ITIHAS tracks Covid cases using mobile network, artificial intelligence algorithm

#artificialintelligence

Five months after the first Covid-19 case was reported from Gujarat, the government is largely relying on data collected via ITIHAS (IT-enabled lntegrated Hotspot Analysis System) developed by an IIT-Madras professor, for surveillance and containment strategies, apart from manual contact tracing. ITIHAS is a predictive, back-end tool to fine-tune Aarogya Setu data "strictly for surveillance purposes", according to Ahmedabad Municipal Corporation (AMC) officials. In Gujarat, it was first used in Ahmedabad from May 23, and is now expanded to Surat, Vadodara, Rajkot and Navsari districts, while also being used for state-wide prediction of emerging hotspots. According to the Gujarat health department, as of August 19, there are 883 emerging hotspots across the state. This tool takes data via two channels once a patient tests positive -- one from ICMR, the nodal agency which is notified of positive cases tested in labs, or via Aarogya Setu application depending on the declaration and self assessment by the user.


Companies bet on AI cameras to track social distancing, limit liability - Reuters

#artificialintelligence

Several companies told Reuters the software will be crucial to staying open as concerns about COVID-19, the respiratory illness caused by the virus, persist around the world. It will allow them to show not only workers and customers, but also insurers and regulators, that they are monitoring and enforcing safe practices. "The last thing we want is for the governor to shut all our projects down because no one is behaving," said Jen Suerth, vice president at Chicago-based Pepper Construction, which introduced software from SmartVid.io Samarth Diamond plans to deploy AI from Glimpse Analytics as soon as its polishing factory re-opens in Gujarat, India, while two Michigan shopping centers owned by RPT Realty will have distancing tracking from RE Insight in two weeks. Buyers expect the technology will work because they already have used similar tools to profile shoppers entering stores and find helmet scofflaws on construction sites.


Companies bet on AI cameras to track social distancing and limit liability

The Japan Times

Oakland, California – Stores and workplaces eager to avoid spreading the novel coronavirus are equipping existing security cameras with artificial intelligence software that can track compliance with health guidelines including social distancing and mask-wearing. Several companies said the software will be crucial to staying open as concerns about COVID-19, the respiratory illness caused by the virus, persist around the world. It will allow them to show not only workers and customers, but also insurers and regulators, that they are monitoring and enforcing safe practices. "The last thing we want is for the governor to shut all our projects down because no one is behaving," said Jen Suerth, vice president at Chicago-based Pepper Construction, which introduced software from SmartVid.io Samarth Diamond plans to deploy AI from Glimpse Analytics as soon as its polishing factory re-opens in Gujarat, India, while two Michigan shopping centers owned by RPT Realty will have distancing tracking from RE Insight in two weeks.


Human beings are unable to connect with artificial intelligence: Pranav Mistry - ETtech

#artificialintelligence

Neon, the artificial human prototype conceptualized by computer scientist and inventor Pranav Mistry, created waves recently. The President and CEO of Samsung's STAR Labs told ET in an exclusive interview that he created Neon because human beings are unable to connect with artificial intelligence (AI) assistants such as Apple's Siri. The Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. The 38-year-old also spoke about the dangers posed by AI,echoing Google parent Alphabet Inc's chief Sundar Pichai who recently called upon governments to regulate AI. Edited Excerpts: When you started thinking about Neon, what was the problem you were trying to solve?


How technology can help India cope with natural disasters - Express Computer

#artificialintelligence

The year 2019 has been one of the worst years in the history for India when it comes to natural disasters. More than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years. More than 1,600 people have been killed with millions of people losing their homes and their livelihood. While this year has been devastating, every year, the same pattern repeats itself.


Can technology help in dealing with natural disasters? - Express Computer

#artificialintelligence

Every year during the monsoon period, India faces a deluge of floods. Almost every year, it is common to see one or two Indian states being badly affected by floods. Most recently, in Bihar, more than 1,400 villages in 15 districts were marooned due to flooding. In 2019 alone, more than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years.


Can technology help in dealing with natural disasters? - Express Computer

#artificialintelligence

Every year during the monsoon period, India faces a deluge of floods. Almost every year, it is common to see one or two Indian states being badly affected by floods. Most recently, in Bihar, more than 1,400 villages in 15 districts were marooned due to flooding. In 2019 alone, more than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years.