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Machine Learning For Beginners Part 3

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This is a supervised learning sub categories. Regression is the process of predicting the value of discrete'yes / no' label, as long as it falls on a continuous spectrum of the input value. In the output variable regression problem is real value as the dollar, weights etc regression algorithm to answer questions such as "How much?" "How many?".


Save money on the Amazon Echo Spot, now 33 per cent off on Amazon

Daily Mail - Science & tech

July usually sees Amazon's incredibly popular Prime Day sales event. While this epic shopping day may be postponed until to later in the year, you can still grab some incredible discounts on the mega-site. If you're a fan of Amazon's family of devices then you are sure to love the Amazon Echo Spot Alarm Clock. What's more, the Amazon Echo Spot is now on sale on Amazon, reduced to only £79.99- that's a saving of 33 per cent. Get content in one glance- the Amazon Echo Spot allows you to watch video flash briefings, see music lyrics, weather forecasts, to-do and shopping lists- all for £79.99 Shaped like a futuristic alarm clock, the Amazon Echo Spot brings you everything you love about Alexa, in a stylish and compact design.


Lenovo discounts its Google Assistant-powered Smart Clock to $40

Engadget

Lenovo's excellent Smart Clock with the Google Assistant hit $40 today, which is 50 percent off its normal price. It's a great deal on the smart display that would make a good upgrade to your regular alarm clock with its sunrise alarm feature, ambient light sensor and minimalist design. You can buy it at the sale price on Lenovo's website, but bare in mind that only the charcoal model (not the gray model) is $40 when you use the code CMTABFDEALS1 at checkout. The Lenovo Smart Clock has fallen to $40 in the past and we recommend waiting for it to hit this price (or close to it) before buying it. It's a much easier buy at $40 than at $80, and it's arguably one of the best smart alarm clocks you can get.


Machines That Can Understand Human Speech: The Conversational Pattern Of AI

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Early on in the evolution of artificial intelligence, researchers realized the power and possibility of machines that are able to understand the meaning and nuances of human speech. Conversation and human language is a particularly challenging area for computers since words and communication is not precise. Human language is filled with nuance, context, cultural and societal depth, and imprecision that can lead to a wide range of interpretations. If computers can understand what we mean when we talk, and then communicate back to us in a way we can understand, then clearly we've accomplished a goal of artificial intelligence. This particular application of AI is so profound that it makes up one of the fundamental seven patterns of AI: the conversation and human interaction pattern.


Artificial Intelligence: It's Importance to the Internet

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The future the place individuals can delegate mundane duties to a machine is just not removed from taking place. From beginning the laundry down to cooking dinner after an extended day is about to be over. Artificial Intelligence has actually helped form our web at present. After all, we will already talk with digital assistants like Apple's Siri and Amazon's Alexa for small issues round the home, like calling Uber or ordering a pizza. Things that we solely see on sci-fi films could also be nearer than you suppose.


#TechFightsCOVID: 10 AI use cases to help retail enterprises amid COVID-19 - NASSCOM Community

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COVID-19 has had an unparalleled impact on the economy with a slowdown expected in most sectors including retail. In the short to mid-term, COVID-19 and subsequent nation-wide lockdown has further worsened the challenges faced by Indian retailers. With broken supply chains, it has led to a disconnected demand and supply making it difficult for retailers to cater to customer needs. It has also forced customers to rethink their purchase requirements and has led to a shift to contactless mode of deliveries, which is bound to become the new normal going forward. Establishing the right balance between demand and supply becomes key for retailers The Holy Grail for retailers is not only to identify the target customers and their real-time needs but also to proactively procure the right products to cater to the identified demand. This is even more critical amidst the COVID-19 pandemic, when due to broken supply chains there has been a massive demand supply mismatch. Digital enterprises that are utilising the data generated across the retail value chain and customer touchpoints to deploy AI-powered solutions have a significant edge over others. Here are my top 10 picks for AI use cases that can be a good starting point for retail enterprises (specifically amid the pandemic) in their journey towards becoming an intelligent enterprise. These use cases will definitely help retail enterprises survive the crisis and thrive in the long term. Customer Segmentation – Use of AI for creation of customer segments and personas based on real time transaction, demographic and behavioural data, enabling retailers with dynamic pricing for its products, predicting customer behaviour to target and personalise communication, and create cross-sell models. Demand forecasting – Using machine learning and leveraging contextual data to build models enabling retailers to optimise product availability, and gaining a better understanding of sales patterns and anomalies. Store Assortment Optimisation – Customers are restricting their store time with the fear of COVID-19 and that makes getting the right product assortment critical. AI helps store-level customisation of assortments based on store data (returns, purchases, and receipts data). This can also be done for online stores to help increase customer retention. Hyper Targeted Campaigns – It is critical for retailers to identify the right time to push a particular product to ensure maximum sales. AI-powered systems are helpful in suggesting the product and time slot in which it needs marketing. Personalised Marketing – For successful hyper-targeted campaigns it is also important for retailers to ensure the right marketing channel and the right message. Based on a customer’s past behaviour, AI-powered system picks the right way (channel, messaging, and discounts) of communication and sends personalised messages. Fraud Detection – The risk of potential frauds also increases amid these trying times, with a huge volume of online orders. AI-based system can predict potential frauds based on customer profiles and past purchase/returns data. On Time Delivery – With majority of customers opting for home delivery of products, it becomes critical for retailers to ensure on-time delivery. Predictive analytics and AI algorithms can help determine the most cost-effective and energy-efficient route to the destinations. Omni-Channel Customer Service – With restricted access to physical stores, consumers are opting for Omni-channel services. By connecting experiences across channels, building customer knowledge through data and creating discussions within user communities, AI platforms help brands acquire, retain and grow relationships with their customers. Customer Service Chat bot – The need for contactless deliveries has forced many consumers to opt for online purchases. The high volumes also result in larger volumes of queries and concerns. AI-powered chat bot can understand customer’s queries and respond. It can understand a customer’s emotion and can prioritise and alert human customer service agents to intervene. Visual Workforce Monitoring – AI system to detect safety compliance of the workers. This is specifically important in the current COVID-19 times when hygiene factors are critical. If the system detects any violation of safety norms, it can alert and share images for review. NASSCOM Research, NASSCOM CoE – DS&AI along with EY released a report titled “Indian Retail: AI Imperative to Data-Led Growth” focusing on AI opportunities in India’s retail sector. The report provides a unique periodic table of 100+ AI use cases across the retail value chain. The use cases identified in this article are also a part of the report. The report also highlights best practices across retail enterprises that have implemented these use cases. Download the report now: https://tinyurl.com/y9johts2


Explore the Gendering of AI Voice Assistants

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THINK PIECE 2 of I'd blush if I could, is the first in-depth UN examination of the gendering of AI technology. Using the example of digital voice assistants such as Amazon's Alexa and Apple's Siri technology, it explains how gender imbalances in the digital sector can be'hard-coded' into technology products.


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Artificial Intelligence seems to be a unique technology of making a machine, a robot fully autonomous. AI is an analysis of how the machine is thinking, studying, determining and functioning when it is trying to solve problems. These kind of problems are present in all fields, the most emerging ones in 2020 and even beyond. The aim of Artificial Intelligence is to enhance machine functions relating to human knowledge, such as reasoning, learning and problems along with the ability to manipulate things. For example, virtual assistants or chatbots offer expert advice.


Chatbots in Business Evolution

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In mathematics, a type of variation called direct variation describes'a simple relationship between two variables -- such that we observe an increase of one variable when the other increases, or a decrease of the same when the other reduces'. This law works in business as well, wherein the population of the workforce determines the productivity of the company. However, recent development in artificial intelligence defies this law. In 2020, a business could have only a team of essential workers with a couple of well-utilized computers and do more than a larger company which has the help of its thousands of workers but without digital intervention or its innovative implementation whatsoever. The usefulness of computer technology in business has been paced recently in such a way that most businesses will not need to hire more workers in the future.


The "Ultimate" AI Textbook

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In this section, we will talk about Artificial Intelligence, its history, applications, the different types of AI, and the programming languages that are used for AI. Note that I will not be talking about how to code AI but mainly focus on the various languages which support AI. No, don't close this tab!!! Ok fine, I'll start doing my job of explaining properly. "The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." In simple words, AI is the science of making machines that can think. It's a technique of getting machines to work and behave like humans which accomplishes this task by creating machines and robots.