In this course the student will learn the theory of time series analysis and forecasting. Time series analysis is part of artificial intelligence (AI) and is used by many companies to make predictions on sales, temperature, energy consumption, stock prices, etcetera. Time series analysis involves looking at the time series and making judgements based on the look of the time series. The time series may need to be changed in an attempt to analyse it, and these changes could involve resampling or transforming in some fashion. Time series forecasting involves making predictions on the time series.

Learn to build a shallow neural network to perfectly classify the mnist dataset... a digit dataset using TensorFlow 2.0...

Ironically, the impact on jobs – although widely uncertain – is the part that people professionals are probably already well placed to handle. They will be all too familiar with changes to staffing requirements caused by global shocks, new products and opportunities, or the behaviour of competitors. They will therefore find they can deal with the most talked about bit of AI – the robo-apocalypse on jobs – in their stride. There are, however, a host of other, less well-discussed, challenges that business leaders will need to think about in order to harness the potential that artificial intelligence has to make organisations more efficient and more effective. Artificial intelligence (AI) is an umbrella term for a suite of technologies that performs tasks usually associated with human intelligence.

The impact of AI on education is not a new concept. From online education to the increase in building edtech, AI has been transforming education at various levels. Some AI-powered chatbots act like personal tutors for students, capable of answering common questions and doubts at their disposal. Using NLP, these bots are designed to address child's queries as and when they arise, learning to better understand and clarify concepts. AI also offers customized lessons based on the aptitude of every child.

The last two years saw a major rise in home deliveries. Around 60% of the global population will live in cities by 2030 and last-mile deliveries are expected to grow further by 78%, according to the World Economic Forum. Currently, the global last-mile delivery market size stands at $130 billion, with 4160 parcels shipped every second. The number comes to about 150 billion annually -- a number that is always rising owing to ecommerce growth and changing consumer behavior -- according to Pitney Bowes' Parcel Shipping Index. All major organizations like McDonald's, Starbucks, Walmart and UPS are investing heavily to focus on home deliveries and provide the best digital delivery experience.

Researchers are striving to ascertain how fresh Artificial intelligence technologies can be applied to boost healthcare in the wake of their development. Recently, a team from the Brigham and Women's Hospital Mahmood Lab found that the use of an AI model may leverage information from patient histories, pathology, and genomic sequencing to stay ahead of cancer activity. This concrete evidence model uses artificial intelligence (AI) to aggregate various sorts of data from many sources and predicts patient outcomes for 14 different types of cancer. The results highlight the necessity for developing computational pathology prognostic models with significantly larger datasets and subsequent clinical trials to demonstrate efficacy. Although it has long been known that predicting outcomes in cancer patients requires taking into account a variety of factors, including patient history, genetics, and disease pathology, doctors still find it difficult to integrate this data when deciding how best to treat their patients.

As Tesla closes in on fully autonomous vehicles, more people wonder how the Robotaxi system will work. Elon Musk talked about the Robotaxi system during the 2022 Shareholders Meeting. Based on Elon Musk's projections, the Tesla Robotaxi fleet could shake up the rideshare and hospitality industry. He noted that Tesla's autonomous Robotaxi network would function like Uber and Airbnb together. Musk elaborated that Tesla customers would have the option of owning a Robotaxi in the fleet.

Shortly after the game's PC release, a modder going by the handle Mike Hawk (probably don't try saying it out loud) released a mod called "Non-Newtownian New York." According to its creator, the mod replaced "Newton's Prism's artifacts with the stars and stripes." This was a roundabout way of saying it turned Pride flags into United States flags. As many have pointed out, "Spider-Man" already includes a plethora of U.S. flags even without mods, and Spider-Man -- given his habit of standing up for the oppressed -- has frequently been associated with progressive causes.

Google is tweaking its search results in an effort to prioritise "content by people, for people" and fight back against the scourge of clickbait, the company says. "We know people don't find content helpful if it seems like it was designed to attract clicks rather than inform readers," Danny Sullivan, from Google, said in a blog post. "Many of us have experienced the frustration of visiting a webpage that seems like it has what we're looking for, but doesn't live up to our expectations. The content might not have the insights you want, or it may not even seem like it was created for, or even by, a person." So-called "SEO spam", content written explicitly for the purposes of appearing high up on the results pages of search engines, has long been a thorn in the side of companies like Google.

Waterdrop Inc. ("Waterdrop", the "Company" or "we") (NYSE: WDH), a leading technology platform dedicated to insurance and healthcare service with a positive social impact, recently announced that it officially launched its first digital employee "Waterdrop Assistant". "Waterdrop Assistant" is a human-like virtual employee that was developed based on Waterdrop's business processes and is powered by multiple technologies, including robotic process automation (RPA) and artificial intelligence (AI). "Waterdrop Assistant" can help the online insurance service team with numerous tasks, including data processing and analysis, online user management, and customer services, thus improving the response time, quality, and scope of the Company's customer service team. Mr. Mingxing Huang, Head of AI at Waterdrop, commented, "The introduction of digital employees is our latest exploration to continue promoting the digital transformation of the insurance industry, to reduce operating costs, and improve the efficiency of insurance services. Specifically in our case, 'Waterdrop Assistant' has helped shorten the response time, lower operating costs, and unleash the potential of our staff. Our analysis shows that since its launch, 'Waterdrop Assistant' has processed 86% of the user sessions with a 97% accuracy rate for intention recognition, helping free up 37% of the customer service manpower and effectively increase the policy renewal rate. Currently, 'Waterdrop Assistant' is responsible for highly repetitive and labor-intensive tasks, however, it has also undergone constant system iterations and architecture upgrades through ongoing machine learning. For example, in the fourth quarter of 2021, Waterdrop Assistant completed 20-plus system iterations and 3 architecture upgrades accumulatively. Our next goal is to enable'Waterdrop Assistant' to independently complete tasks for more complex and interactive scenarios and play a bigger role in the process of sales inquiry, underwriting review, risk control, and claim settlement."