Forget coding, you can now solve your AI problems with Excel

  • “While I’ve been using Excel’s mathematical tools for years, I didn’t come to appreciate its use for learning and applying data science and machine learning until I picked up Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods by Hong Zhou.
  • There’s a chapter that delves into the meticulous creation of deep learning models. First, you’ll create a single layer artificial neural network with less than a dozen parameters. Then you’ll expand on the concept to create a deep learning model with hidden layers.
  • In the last chapter, you’ll create a rudimentary natural language processing (NLP) application, using Excel to create a sentiment analysis machine learning model. You’ll use formulas to create a “bag of words” model, preprocess and tokenize hotel reviews and classify them based on the density of positive and negative keywords.”

https://thenextweb.com/syndication/2021/01/16/forget-coding-you-can-now-solve-your-ai-problems-with-excel/?scid=lAWQQPRS8c&utm_content=socialchampbGaQ5eNNFl&utm_medium=social&utm_source=facebook.com&utm_campaign=socialchamp.io

3 tech trends that COVID-19 will accelerate in 2021

Image Credit: DKosig/Getty Images

“The question is, how should companies focus their resources in 2021 to prepare for this changed reality and the new technologies on the horizon? Here are three trends that I predict will see massive attention in 2021 and beyond.

  1. AI must become practical
  2. Solutions become more autonomous with deep learning
  3. Promise of curing future pandemics will accelerate research in quantum computing”

https://www.google.com/amp/s/venturebeat.com/2021/01/23/3-tech-trends-that-covid-19-will-accelerate-in-2021/amp/

How AI is Being Applied to Retail: Deep Learning Brings Superpowers to eCommerce with Companies like Wish and RTB House Leading the Charge

  • “Optimizing Post Sales Support – Macy’s is piloting chatbot-guided shopper assistance that uses natural language processing technology co-developed by IBM Watson and Satisfi Labs. Other retailers have rolled out more operational-focused uses such as how Amazon and Walmart use A.I. to optimize their supply chains, delivery routes or checkouts.
  • Visual Search and Building New Online Experiences – Wayfair launched a visual search tool that lets customers take photos of products they like and find visually similar ones on its website or mobile app. Those search requests can be tricky when shoppers are asking to make a room more “bohemian” vs. “nautical” vs. “minimalist” via search terms they input. But advanced algorithms and computer vision make it possible for Wayfair to deliver just that.”

How AI is Being Applied to Retail: Deep Learning Brings Superpowers to eCommerce with Companies like Wish and RTB House Leading the Charge

The Differences Between AI, Deep Learning, Machine Learning & NLP

  • “Artificial intelligence is a technology or computer system designed to function in a way that simulates how the human brain thinks.
  • Machine learning is a subset of AI which involves ‘training’ machines to ‘learn’ from sets of data, enabling them to draw insights and make predictive decisions. It automates tasks and finds patterns or anomalies, learns from them and creates new rules for next time.
  • Deep learning is currently the most advanced subset of machine learning, and thereby a subset of AI, which intends to bring machines as close as possible to human levels of thinking. According to MIT Technology Review, “The software learns, in a very real sense, to recognize patterns in digital representations of sounds, images, and other data” by creating an artificial neural network.
  • Natural Language Processing (NLP) is an element of deep learning that involves translating text or human ways of speaking so that a computer is able to categorize and make sense of it.”

https://towardsdatascience.com/the-differences-between-ai-deep-learning-machine-learning-nlp-caac2dfafbd

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