Data Science Dojo

JANUARY 23, 2023

Thus, one thing led to another, and soon enough, I was practicing algorithms and data-structures, learning about the basic “trouble-trio” of web-development–i.e., Feynman, 2013 ). No, dear reader; please do not be fooled by that “ OmG, AI is replacing us (!) ” fallacy. Five years after earning the Ph.D.,

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Dataconomy

NOVEMBER 20, 2023

in computer science in 2013 under the guidance of Geoffrey Hinton. His fingerprints are also on the AlphaGo paper, showcasing his knack for staying ahead in the ever-evolving AI landscape. His work on the sequence-to-sequence learning algorithm and contributions to TensorFlow underscore his commitment to pushing AI’s boundaries.

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Dataconomy

AUGUST 25, 2023

Face detection algorithms based on geometric models, such as the Haar cascades model, or machine learning-based approaches, such as convolutional neural networks (CNNs), have been used to perform this task. Algorithms such as fiducial landmark detection and shape vector representation have been employed to extract these descriptors.

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Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Chittal Patel Originally published on Towards AI. Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification.

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ODSC - Open Data Science

MAY 25, 2023

We’re always looking for new algorithms to be hosted, these are owned by their author and maintained together with us. How to maintain it in a private code base, or contribute to sktime’s algorithm library. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Something else?

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AWS Machine Learning Blog

MARCH 15, 2024

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. He entered the big data space in 2013 and continues to explore that area. These facilitate the development and deployment of FL solutions.

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AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Source: Equifax) Part 1 of this series discusses the most common challenges associated with the manual lending process.

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Smart Data Collective

OCTOBER 13, 2021

Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. Tools like this use complex data-driven algorithms to come up with the best deck examples for aspiring screenwriters. You can use data-driven design tools that leverage AI technology to help create your opening page.

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Smart Data Collective

DECEMBER 11, 2019

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data.

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Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Using AI, AutoLink automatically identified and suggested potential matches.

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ODSC - Open Data Science

FEBRUARY 29, 2024

There are a lot of amazing research labs that are pushing the envelope of research when it comes to AI. If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. Another project, SynthID , helps to identify and watermark AI-generated images.

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Towards AI

APRIL 8, 2024

Author(s): Jimmy Jarjoura Originally published on Towards AI. Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems.

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phData

MAY 17, 2024

The forecasting algorithm uses gradient boosting to model data and the rolling average of historical data to help predict trends. Head on over to the AI & ML section of your Snowflake UI. Explore phData's Generative AI Services Today! Both are for the data we just loaded: historical and future. First, let’s name our model.

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Pickl AI

JULY 12, 2023

The Matrix is mainly a world simulated for creating and controlling machines, which use data and algorithms to maintain the illusion of reality. 2. Ex Machina (2014): “Ex Machina” is a science fiction film that delves into the concept of artificial intelligence (AI) and the ethical implications surrounding it.

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Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. WRITER at MLearning.ai // Control AI Video ? imagine AI 3D Models Mlearning.ai

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AWS Machine Learning Blog

JUNE 23, 2023

The dataset includes credit card transactions in September 2013 made by European cardholders. To understand more about PCA and dimensionality reduction, refer to Principal Component Analysis (PCA) Algorithm. For Training method and algorithms , select Auto. Choose Add step. Choose Dimensionality Reduction.

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Heartbeat

DECEMBER 14, 2023

Empowering Conversational AI with Contextual Recall Photo by Fredy Jacob on Unsplash Memory in Agents Memory in Agents is an important feature that allows them to retain information from previous interactions and use it to provide more accurate and context-aware responses. Hinton is viewed as a leading figure in the deep learning community.

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Heartbeat

DECEMBER 8, 2023

A Guide to Enhancing AI with Strategic Decision-Making and Tool Integration Photo by julien Tromeur on Unsplash Agents in LangChain Agents in LangChain are systems that use a language model to interact with other tools. This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms.

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Mlearning.ai

JULY 31, 2023

The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility. Dosovitskiy, A., Kolesnikov, A.,

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Snorkel AI

FEBRUARY 6, 2024

The pair explored the challenges and impact of AI in the enterprise—particularly in the insurance world—and the importance of amplifying subject matter experts in the loop. I’ll start by asking a little bit about what you see with your QBE hat on as the opportunity for AI. We view that as critical. What has your experience here been?

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Snorkel AI

FEBRUARY 6, 2024

The pair explored the challenges and impact of AI in the enterprise—particularly in the insurance world—and the importance of amplifying subject matter experts in the loop. I’ll start by asking a little bit about what you see with your QBE hat on as the opportunity for AI. We view that as critical. What has your experience here been?

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Pickl AI

NOVEMBER 12, 2024

Here are some more important articles related to Excel: Unlock Productivity: How to Use AI in Excel for Smart Solutions. For Excel 2013 and earlier: Click on the File tab or the Office button (depending on the version). Evolutionary Solver uses a genetic algorithm, iterating over generations to find increasingly better solutions.

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ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. This partial disintegration of some research silos, or the encouragement of greater interdisciplinary work using AI-tools and techniques, follows on from our remarks about the combinatorial nature of knowledge.

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ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score.

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Heartbeat

DECEMBER 27, 2023

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). catboost is the machine learning algorithm for model building.

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Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. High Demand for Data Scientists: Data Science roles have grown over 250% since 2013, with salaries reaching $153k/year. AI and Machine Learning Integration: AI-driven Data Science powers industries like healthcare, e-commerce, and entertainment34.

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FlowingData

MARCH 15, 2024

For the past few years, Laurie Anderson has been using an AI chatbot to talk her husband who died in 2013. A decade after his death, the resulting algorithm lets Anderson type in prompts before an AI Reed begins “riffing” written responses back to her, in prose and verse.

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O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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ML Review

MARCH 5, 2019

At MTank, we work towards two goals: (1) Model and distil knowledge within AI. (2) We built a web-app at ai-distillery.io Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space.

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Hacker News

MARCH 18, 2025

And so were in a position to compare the results of human effort (aided, in many cases, by systematic search) with what we can automatically do by the algorithmic process of adaptive evolution. Butas was actually already realized in the mid-1990sits still possible to use algorithmic methods to fill in pieces of patterns.

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Hacker News

FEBRUARY 24, 2024

E In a 2013 study, Sandberg and his colleague Stuart Armstrong suggested deploying automated self-replicating robots on Mercury to build a Dyson swarm. Nobody was even studying it anymore except a few AIs, and we were sucking up all the resources they might have used to experiment.” You know we won’t shut you down. Martin snorted.

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Flipboard

JANUARY 20, 2025

Last year AIM Research honored Anands efforts to transform the retail industry with its AI100 award , which recognizes the 100 most influential AI leaders in the United States. He created AI and mathematical models for financial transactions such as pricing cash and credit instruments, including credit default swaps.

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DrivenData Labs

DECEMBER 7, 2023

The four solutions that won overall prizes each used different approaches and tools, including ChatGPT, Text2Text Generation, FAISS (Facebook AI Similarity Search), and DBSCAN clustering. However, it wasn't the use of sophisticated tools alone that made for strong submissions. What motivated you to participate? :

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Towards AI

MAY 12, 2025

Author(s): Parth Saxena Originally published on Towards AI. A Brief History of Static Embeddings The concept of static embeddings gained popularity with the introduction of Word2Vec by researchers at Google in 2013. Photo by Joshua Hoehne on Unsplash 1.

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Pickl AI

FEBRUARY 23, 2025

These tools leverage advanced algorithms and methodologies to process large datasets, uncovering valuable insights that can drive strategic decision-making. uses Hadoop to process over 24 petabytes of data daily, enabling them to improve their search algorithms and ad targeting. Use Cases : Yahoo!

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