Machine learning is a vast field. Thanks to the internet, there are plenty of resources available to get your hands on it -- from books to blogs to vlogs. Analytics India Magazine has been compiling learning resources for the ML community for quite some time now. In this article, we list down top machine learning books for those who want to get practical with algorithms. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.
"Machine intelligence is that last invention that humanity will ever need to make." – Nick Bostrom Machine Learning (ML) is on a roll right now. The world is now understanding the significance of ML and how best suited it is for a technically driven society. Machine Learning that is prevalent today is totally focussed on innovative computing advancements based on pattern recognition. It has been driving technology stalwarts like Google, Facebook, YouTube, Uber Eats, Apple's Siri, Amazon's Alexa and many more. "Machine Learning will automate jobs that most people thought could only be done by people."
Dublin, July 28, 2020 (GLOBE NEWSWIRE) -- The "Global Video Surveillance Market: Focus on Ecosystem, Application (Infrastructure, Commercial Residential, Industrial, Institutional, Others), and Region - Analysis and Forecast, 2020-2025" report has been added to ResearchAndMarkets.com's offering. The video surveillance industry analysis projects the market to grow at a significant CAGR of 10.06% on the basis of value during the forecast period from 2020 to 2025. Asia-Pacific region dominated the global video surveillance with a share of 58.12% in 2019. The constantly expanding infrastructure in China and India has been a significant driver in promoting the growth of video surveillance in these countries. The decline in the costs of the overall CCTV-based security system packages due to the reduction in the prices of video cameras has hiked the price competitiveness of these surveillance systems, especially in the Chinese, Indian, and South Korean markets.
"Whenever you compete, you have to accept simple rules – someone wins, someone loses, and usually the winner takes it all." For this week's ML practitioner's series, Analytics India Magazine got in touch with Oleg Yaroshevskiy from Ukraine. In this interview, he shares his experiences from his journey to the top 20 in one of the toughest data science competitions in the world. Oleg majored in maths and statistics from Cybernetics Faculty of Taras Shevchenko National University of Kyiv, which was co-founded by Victor Glushkov, one of the cybernetics pioneers who played a key role in the advancement of theoretical computer science, including artificial intelligence. Oleg had a formal introduction to machine learning (ML) during his graduation days where he had studied neural networks along with the popular Andrew NG's course on Coursera back in 2013.
The recent development of Artificial Intelligence has transformed the way multiple industries integrate and evaluate data, and implement the resulting insights to improve decision making. Applications of AI have infiltrated in everyday scenarios, making it the most demanding technology. Every business these days is pouring huge capital to harness the power of this tech and stay ahead of innovation. This is why a career in artificial intelligence has grown exponentially as companies need the right and qualified talent to meet their demands. Here we have accumulated top AI salaries, with highly-demanded job positions and biggest paydays in India in July 2020. An AI engineer is someone who has the ability to build AI models using machine learning algorithms and deep learning neural networks to draw business insights.
In this article, we will look at toxic speech detection, the problem of text moderation and understand the different challenges that one might encounter trying to automate the process. We look at several NLP and deep learning approaches to solve the problem and finally implement a toxic speech classifier using BERT embeddings. As of June 2019 there are now over 4.4 billion internet users. According to the latest Domo Data Never Sleeps report, Twitter users send 511,200 tweets per minute. While that happens, TikTok gets banned in Indonesia, Discord sees an increasing number of neo-Nazi posts, tech and film celebrity accounts get hacked so hackers can spurt out several racist slurs and hate speech volumes rise in India on facebook due to the controversial Citizenship Amendment Act (CAA). Social media continues to be used by several to incite violence, spread hate and target minorities based on religion, sex, race and disabilities.
The challenges in the real world get more complex and competing than an online competition. Hackathon might not paint the exact picture, and the success at these competitions should not be mistaken for expertise at the industry level. However, Kaggle, one of the world's finest platforms for data scientists, gives aspirants the best possible introduction into the tricky world of data. Analytics India Magazine has been exclusively covering the stories of top Kagglers, and today we compile a few nuggets of wisdom from those interviews that can guide an aspirant. "A right proportion of hard work, dedication, persistence, never giving up attitude and luck are the most important ingredients that helped me," said Abhishek Thakur when asked about his Kaggle success and what made him the world's first 4x grandmaster. When asked about what it takes to get to the top, Darragh, a Kaggle grandmaster, recollecting Jermey Howard, said that the best practitioners in machine learning all share one particular trait in common; they're very, very tenacious.
IIT-Ropar, one of the eight new IITs established by the Ministry of Human Resource Development (MHRD), Government of India, and TSW, the executive education division of Times Professional Learning (a part of The Times of India Group), have launched a Post Graduate Certificate Programme in Artificial Intelligence & Deep Learning. The programme will be coordinated by The Indo-Taiwan Joint Research Centre (ITJRC) on Artificial Intelligence (AI) and Machine Learning (ML), at IIT-Ropar. Supported by the Ministry of Science and Technology, Taiwan, ITJRC is a bilateral centre for collaborative research in disruptive technologies like AI and ML. The programme, with its focus on Artificial Intelligence and Deep Learning, has an eligibility criterion of a minimum of 2 years of work experience in the IT industry. Though an engineering degree is a desirable prerequisite for this programme, one does not need a coding or mathematics background to be eligible.
The system, outlined May 14 in The Lancet: Digital Health, utilizes data from multiple institutions across Europe and was validated using scans from more than 500 patients in India. Compared with manual assessment, the CNN produced similarly accurate measurements, allowing clinicians to quantify lesion burden and progression.
A Bengaluru-based Artificial Intelligence (AI) firm has come up with "designs" of several chemical molecules that may help stop SARS-CoV2 virus, which causes Covid-19 infection from multiplying in an infected person. The firm, which used deep learning technology to identify structures of molecules that would inhibit a critical enzyme of the virus – called 3CLpro, is already in talks with an Indian pharma company, which could synthesise the molecules for testing, if the deal materialises. "We are not in a position to disclose the name of the pharma firm yet," said Vikram Jha, CEO of Pucho Technology Information Limited, the five-year-old firm. The firm, which has office in Bengaluru has been involved in developing an AI platform that offers search and information services to people who have otherwise access to the Internet in languages they are comfortable with when the lockdown happened. "We were ready with our platform but could not launch because of the lockdown. So, we decided to direct our energies towards the Covid-19 fight in a meaningful way using our expertise in AI. That was when two of our engineers specialising in deep learning suggested they could use neural network technology to look for generating potential lead compounds that can target the viral enzyme, 3CLpro," said Jha.