Smart Data Collective

OCTOBER 13, 2021

It has been very useful in countless industries, including financial trading. When thinking about your budget for the next quarter, it’s a good idea to leave some money aside for data. Alternatively, you could consider low cost unsecured funding as a short-term solution that will have long term results.

Internet of Things 122

Internet of Things Data Visualization Tableau Analytics 122

Data Science Dojo

MARCH 18, 2024

Symptoms of Parkinson’s disease – Source: Neuro2go GPT’s response to inquiry about Parkinson’s disease These scenarios precisely illustrate the problem: a language model might generate text relevant to a past context or data but falls short when current or specialized knowledge is required.

Database 369

Database AI AI Natural Language Processing 369

O'Reilly Media

SEPTEMBER 12, 2023

Anyone who works in programming has seen the source code for some project evolve from something short, sweet, and clean to a seething mass of bits. Minimizing lines of code sometimes leads to simplicity, but just as often leads to complex incantations that pack multiple ideas onto the same line, often relying on undocumented side effects.

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Smart Data Collective

JULY 13, 2022

For knowing how you can earn potential profit with bitcoin trading you need to explore the immediate edge. Bukele had first proposed the idea in early June and it received broad support from both sides of the aisle. Overall Risks in Bitcoin Trading. How to Mitigate Risks in Bitcoin Trading.

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IBM Journey to AI blog

APRIL 18, 2024

Here are 7 critical skills that current AI struggles with and AGI would need to master: Visual perception: While computer vision has overcome significant hurdles in facial recognition and object detection, it falls far short of human capabilities. Creating new ideas, concepts or solutions is a hallmark of human creativity.

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AI AI Computer Science Computer Science 95

Iguazio

OCTOBER 24, 2023

We chose them because they provide practical information that can be implemented today in your environments and organizations, along with a forward-thinking approach that discusses ideas, considerations and opportunities for the future. Track Keynote: Implementing Gen AI in Practice Wed., Read the full abstract here.

Machine Learning 52

Machine Learning Machine Learning Data Scientist AI 52

Hacker News

FEBRUARY 12, 2023

I really enjoyed reading Algorithmic Trading: A Practitioner’s Guide by Jeffrey M. Before starting, I imagined it would cover various strategies for trading in the markets, along the lines of “buy on this condition, sell on this condition” But that is not what this book covers. If not, they will not trade with you.

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Algorithm 181

Smart Data Collective

NOVEMBER 12, 2021

In-house employees can direct full attention to sharpening the skills that sparked your business idea and contributed to your growth. Employees can develop specialties rather than shift between unrelated tasks and attempt to be “jacks of all trades.” Farming out non-core business functions also gives in-house staff added flexibility.

Big Data 104

Big Data Big Data Data Mining Data Mining 104

Mlearning.ai

FEBRUARY 15, 2024

In short, RPA in banking includes solutions that aim to automate monotonous, high-volume, routine business procedures and enable banks to save time, expenses, and resources. Thus, RPA in banking automates jobs associated with issuing, managing, and closing letters of credit, which are popular trade finance tools.

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AI AI Artificial Intelligence Artificial Intelligence 52

Smart Data Collective

APRIL 21, 2020

Technical innovations and the rapidly evolving new trading paradigm continue to attract large crowds, but this also includes several scammers. Check the exchange on which the coin is indicated – Does it have a significant trading volume? ” How it works: The fraudster addresses users with a Bitcoin trading offer.

Database 96

Database 96

IBM Journey to AI blog

JULY 26, 2023

Pyhrr introduced the idea of starting the budgeting process from a “zero base,” meaning that every expense had to be justified from scratch. This enables informed decision-making, as leaders have a clearer understanding of the trade-offs involved and can make strategic choices based on reliable data.

Analytics 60

Analytics Analytics Data Visualization AI 60

Applied Data Science

OCTOBER 25, 2021

This path aims towards two, equally important objectives: getting the skills most desired in the foreseeable future (which is rather short in data science) and developing the abilities necessary to become independent and evolvable enough to adjust to changes that may come your way (with probability 99%).

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AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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AWS AI AI ML 123

Tableau

FEBRUARY 3, 2022

Not all of the NGBs are mature in their data journeys, and it was important that we were able to meet them where they are, and offer realistic ideas based on each organization's facility with data. . Identifying and managing trade-offs. Flexibility and setting expectations was key. From data collection to dashboard.

Tableau 104

Tableau Analytics Analytics Data Analysis 104

Tableau

FEBRUARY 3, 2022

Not all of the NGBs are mature in their data journeys, and it was important that we were able to meet them where they are, and offer realistic ideas based on each organization's facility with data. . Identifying and managing trade-offs. Flexibility and setting expectations was key. From data collection to dashboard.

Tableau 98

Tableau Analytics Analytics Data Analysis 98

Hacker News

MAY 3, 2023

In this article we give a comprehensive overview of what’s really going on in the world of Language Models, building from the foundational ideas, all the way to the latest advancements. The core idea of RLHF revolves around training a reward model. What is the learning process of a language model?

Supervised Learning 181

Supervised Learning Natural Language Processing AI AI 181

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. Solution overview Electricity markets enable trading power and energy to balance power supply and demand in the electric grid and to cover different electric grid reliability needs.

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AWS Machine Learning Machine Learning Analytics 73

Flipboard

MARCH 3, 2023

The project, which was inspired by Patrick Zeinali’s YouTube short “ Robot Vs Human Bake Off ,” was born earlier this year after Meng was laid off from her job as a software engineer. Megan Ulu-Lani Boyanton reports on the business beat at the Denver Post , and previously covered agriculture and trade policy for Bloomberg Government.

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AI AI Artificial Intelligence Artificial Intelligence 123

ML @ CMU

MAY 12, 2023

In short, this says that the (k)-th data silo may set its own ((varepsilon_k, delta_k)) example-level DP target for any learning algorithm with respect to its local dataset. As we discuss below, this alternate privacy granularity affects how we consider modeling federated data to improve privacy/utility trade-offs.

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Hacker News

DECEMBER 15, 2023

It was Viola Grae , and he convinced her to trade him embroidery lessons for pattern cuttings. Really, you just mirror them with your ideas, and the things that they feel, who they are. His Mexican influence really comes through, in those short jackets.” He had to know who’d crafted the grandeur cascading from the riders.

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PyImageSearch

AUGUST 28, 2023

The Dataset The Problem Mismatch Between Training and Test Data Data Corruption Uncertainty Quantification Corruption-Specific Training Data Augmentation Trade-Off Between Accuracy, Robustness, and Uncertainty The Solution: AugMix How AugMix Works AugMix Results on ImageNet Why Is AugMix Important? All that said, are you: Short on time?

Machine Learning 90

Machine Learning Machine Learning Deep Learning Deep Learning 90

AWS Machine Learning Blog

MARCH 14, 2024

The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply. It involves the use of prompts, which are short pieces of text that guide the model to generate more accurate and relevant responses. The retrieved information provides useful context and ideas.

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AWS AI AI ML 105

Hacker News

FEBRUARY 3, 2023

But it is only now—with ideas that have emerged from our Physics Project —that I think I can pull all the pieces together and finally be able to construct a proper framework to explain why—and to what extent—the Second Law is true. Later on there came the somewhat more abstract statement “Entropy tends to increase”.

Computer Science 172

Computer Science Computer Science Algorithm Machine Learning 172

Data Science Dojo

AUGUST 24, 2023

One notable area where MLflow falls short is its need for an integrated, built-in pipeline orchestration and execution feature, such as those provided by TFX or Kubeflow Pipelines. While MLflow is a versatile and modular tool for managing various aspects of the ML lifecycle, it has some limitations compared to other MLOps platforms.

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Machine Learning Machine Learning ML ML 195

AWS Machine Learning Blog

SEPTEMBER 28, 2023

The delicate balance of oversupply and undersupply If manufacturers produce too few parts or finished goods, the resulting undersupply can cause them to make tough choices of rationing available resources among their trading partners or business units. As a result, purchase orders may have lower acceptance rates with fewer profits realized.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. If you make too many calls to Amazon Textract in a short period of time, it throttles your calls and sends a ProvisionedThroughputExceededExceptionerror in the operation response.

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AWS ML ML Machine Learning 81

AWS Machine Learning Blog

FEBRUARY 1, 2023

Evaluation dataset To evaluate both solutions, we use a sample dataset consisting of 200 short-form videos. It’s important to note that there will be a trade-off between cost and accuracy. Although these results are averages achieved during testing and by some of our customers, they should give you ideas to balance the use of each API.

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AWS ML ML Natural Language Processing 66

The MLOps Blog

DECEMBER 7, 2022

Those were the questions that the guys at CTF Capital —a trading fund— had. At that time, we received a message from a friend and colleague of ours working at a crypto trading fund: “ I managed to assemble an amazing data team, but we lack direction and focus ”.

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ML ML AWS ETL 52

AWS Machine Learning Blog

MARCH 28, 2024

Despite facing skepticism and short-term headwinds, AWS continued to innovate, attract new customers, and migrate active customers, offering benefits such as agility, innovation, cost-efficiency, and security. Parent document retriever chain Let’s look at a more advanced RAG option with the help of ParentDocumentRetriever.

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AWS Machine Learning Machine Learning AI 112

Mlearning.ai

SEPTEMBER 4, 2023

Short-termism: AI budgets are increasing, but much of that spending is taken from other business areas. These dynamics create short-termism, resulting in companies making rash decisions focusing on immediate results to the detriment of long-term growth. Short-termism is technical debt. 27] Second, Gudibande et al.

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Dataconomy

AUGUST 8, 2023

Image credit ) The rise of altcoins The journey of altcoins began shortly after Bitcoin’s inception, with pioneers like Namecoin and Peercoin introducing novel ideas like decentralized domain registration and proof-of-stake consensus mechanisms.

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AI AI 170

PyImageSearch

OCTOBER 2, 2023

They extended the idea of autoencoders to learn useful data distributions. All that said, are you: Short on time? Adjusting this factor can influence the trade-off between the fidelity of the reconstructions and the regularity of the latent space. VAEs were introduced in 2013 by Diederik et al.

Deep Learning 120

Deep Learning Deep Learning Clustering Computer Science 120

Explosion

DECEMBER 17, 2013

If you’re confused about the idea of extracting features and scoring them with a linear model, you should review that post. We’re going to trade away accuracy in favour of efficiency and simplicity. I find the dynamic oracle idea much more conceptually clear. I can imagine having no idea what the program might even do.

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Python Algorithm Natural Language Processing 45

Mlearning.ai

JUNE 16, 2023

Top 17 Generative AI-based Programming Tools (For Developers) Why ChatGPT Won’t Replace Coders Just Yet Lack of critical thinking (think from goal perspective and even challenge requestor) and idea generation ChatGPT struggles to generate long bodies of text coherently. ChatGPT codes like an expert beginner.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

We are also making it easier for any customer to access highly sought-after GPU compute capacity for generative AI with Amazon EC2 Capacity Blocks for ML—the first and only consumption model in the industry that lets customers reserve GPUs for future use (up to 500 deployed in EC2 UltraClusters) for short duration ML workloads.

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AWS AI AI ML 126

Flipboard

AUGUST 1, 2023

Independent regulators like the Federal Trade Commission have been going public to outline how they plan to approach the technology. Santiago/Getty Images Federal Trade Commission chair Lina Khan stands poised to be a leading figure in regulation concerning the near-term implications of AI. I hear you loud and clear.”

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