Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. There is also concern that attackers are using AI and ML technology to launch smarter, more advanced attacks.

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Pickl AI

APRIL 17, 2023

How can a DevOps team take advantage of Artificial Intelligence (AI)? The application of Artificial Intelligence (AI) in DevOps in recent years has increasingly become more popularised because of its ability to automate processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. The data-driven world will be in full swing. With the growth of big data and artificial intelligence, it is important that you have the right tools to help you achieve your goals.

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Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

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Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They are the driving force behind the artificial intelligence revolution, creating new opportunities and possibilities that were once the stuff of science fiction.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. 12, 2014. [3] 16, 2020. [4]

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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ODSC - Open Data Science

MARCH 13, 2023

As you know, ODSC East brings together some of the best and brightest minds in data science and AI. They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. Dr. Jon Krohn Chief Data Scientist | Nebula.io

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Heartbeat

JUNE 5, 2023

However, managing machine learning projects can be challenging, especially as the size and complexity of the data and models increase. Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. This is where Comet comes in.

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Mlearning.ai

JULY 17, 2023

In today’s data-driven world, machine learning (ML) has become an indispensable tool for extracting valuable insights and making data-driven decisions. As a data scientist, staying ahead of the curve and continuously improving your skills is essential to tackle complex challenges in the field of ML.

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ODSC - Open Data Science

JUNE 6, 2023

He’ll posit that StarAI and Probabilistic Logic form an ideal basis for developing neuro-symbolic artificial intelligence techniques. And use the deep probabilistic logic programming languages DeepProbLog and DeepStochLog to illustrate his point. From Correlation to Causality in AI Dr.

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Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape.

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Towards AI

JULY 20, 2023

medium.com Talking about PyTorch… Basic Tutorials An awesome introduction to PyTorch showing an end-to-end ML pipeline from loading your data all the way to saving a trained model, includes a Colab notebook: Learn the Basics – PyTorch Tutorials 1.8.0 ethanjperez/rda Rissanen Data Analysis (RDA) is a method to […]

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phData

MARCH 4, 2024

The Snowflake Data Cloud has become a game-changer for businesses leveraging data analytics, but did you know it also packs a serious punch when it comes to Artificial Intelligence (AI)? Leveraging Snowpark ML, users can employ well-known Python frameworks for preprocessing, feature engineering, and training tasks.

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Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. With more companies shifting towards data-driven decision-making, understanding financial data and leveraging AI’s power has never been more crucial.

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Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

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AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Import the interactions data to Amazon Personalize from Amazon Simple Storage Service (Amazon S3). Choose Create solution.

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Dataconomy

FEBRUARY 22, 2023

This flaw in the deep-learning systems that underpin today’s most advanced AI means that they can be vulnerable to “adversarial attacks,” where humans can exploit unknown vulnerabilities to defeat them. This has important implications for drug discovery and other areas of biomedical research.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

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Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? Unsupervised ML: The Basics.

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Dataconomy

AUGUST 9, 2023

By scrutinizing data packets that constitute network traffic, NTA aims to establish baselines of normal behavior, detect deviations, and take appropriate actions. This is where the power of machine learning (ML) comes into play. How could machine learning be used in network traffic analysis?

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IBM Journey to AI blog

AUGUST 11, 2023

Both computer scientists and business leaders have taken note of the potential of the data. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps is the next evolution of data analysis and deep learning.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. As MLOps become more relevant to ML demand for strong software architecture skills will increase as well.

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ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

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Pickl AI

JANUARY 3, 2024

Google, a tech powerhouse, offers insights into the upper echelons of ML salaries in the United States. As the market evolves, continuous learning and adaptability are crucial for success in this dynamic field. In 2024, the significance of Machine Learning (ML) cannot be overstated. billion in 2023 to an impressive $225.91

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ODSC - Open Data Science

FEBRUARY 8, 2024

Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras. Register soon!

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Heartbeat

OCTOBER 23, 2023

We will examine real-life applications where health informatics has outperformed traditional methods, discuss recent advances in the field, and highlight machine learning tools such as time series analysis with ARIMA and ARTXP that are transforming health informatics.

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AssemblyAI

SEPTEMBER 12, 2023

Automatic Speech Recognition, or ASR, is the use of Machine Learning or Artificial Intelligence (AI) technology to process human speech into readable text. In 2014, Baidu published the paper, Deep Speech: Scaling up end-to-end speech recognition. The data does not need to be force-aligned.

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IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

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Data Science Dojo

AUGUST 28, 2023

The scope of LLMOps within machine learning projects can vary widely, tailored to the specific needs of each project. Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Why is LLMOps Essential?

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ODSC - Open Data Science

SEPTEMBER 27, 2023

Get ready for 300+ hours of hands-on training sessions, workshops, and talks on Generative AI, LLMs, MLOps, Machine Learning, Deep Learning, and more. By the end of this session, you will be equipped with the knowledge and practical tools you need to manage your ML models in the real world.

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ODSC - Open Data Science

APRIL 10, 2023

Deep Learning with PyTorch and TensorFlow part 1 and 2 Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn | Chief Data Scientist | Nebula.io Topics covered include Pandas interoperability, categorical data, parameter tuning, and model evaluation.

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ODSC - Open Data Science

AUGUST 9, 2023

This article delves into the transformative power of artificial intelligence (AI) across a broad spectrum of industries, including retail, e-commerce, fintech, and power systems. As seen in Google Ads, advertising uses AI for data analysis to create targeted and personalized ads, increasing consumer engagement and ROI.

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Mlearning.ai

AUGUST 1, 2023

Introduction During the past decade Artificial intelligence knows a strong growth thank to important technological advances changing industrial, economic and societal environments. Outline What is Synthetic Data? The Advantages of Synthetic Data How can we evaluate the quality of Synthetic Data?

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ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

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