Data Science Dojo

SEPTEMBER 8, 2023

Read more –> Data Science vs AI – What is 2023 demand for? It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Streamline operations.

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Google Research AI blog

MARCH 30, 2023

Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. Each step can introduce issues and biases.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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ML @ CMU

MARCH 31, 2023

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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Data Science Dojo

JANUARY 18, 2023

Despite major layoffs in 2022, there are many optimistic fintech trends to look out for in 2023. In this blog, let’s see what the future holds for fintech trends in 2023. Fintech trends 2023 – Data Science Dojo With increasing reluctance from investors, lack of funding, and fewer jobs, 2023 might seem like a glum year ahead.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Ivan Reznikov Originally published on Towards AI. When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. Around ten years ago, I remember creating an algorithm to catch chess cheaters.

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ML @ CMU

MARCH 30, 2023

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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Analytics Vidhya

JANUARY 1, 2023

The post Step-by-Step Guide to Become a Data Scientist in 2023 appeared first on Analytics Vidhya. Despite facing many challenges and setbacks, they never gave up on their dream. Eventually, their hard work and determination paid off, as they landed […].

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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! Primarily known for its tree-based model training algorithm, XGBoost prioritizes optimizing performance and is especially potent […]

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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Key takeaways Data Science lays the groundwork for Machine Learning, providing curated datasets for ML algorithms to learn and make predictions. Data Science enhances ML accuracy through preprocessing and feature engineering expertise.

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Mlearning.ai

AUGUST 11, 2023

ML Implementation — 00 I do not know how I will be proceeding with this project(s) but I plan to document it to some extent. I gained a couple of badges and a lot of skills while doing these, but still, the goal was to have a proper implementation of the Machine Learning Algorithm. Part 01 of ML Implementation. Until net time.

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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Everybody knows you need to clean your data to get good ML performance. How does cleanlab work?

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Towards AI

JULY 17, 2023

Last Updated on July 18, 2023 by Editorial Team Author(s): Muttineni Sai Rohith Originally published on Towards AI. Pyspark MLlib | Classification using Pyspark ML In the previous sections, we discussed about RDD, Dataframes, and Pyspark concepts. In this article, we will discuss about Pyspark MLlib and Spark ML.

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

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Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. They investigate the most suitable algorithms, identify the best weights and hyperparameters, and might even collaborate with fellow data scientists in the community to develop an effective strategy.

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ODSC - Open Data Science

APRIL 28, 2023

Editor’s note: Tendü Yoğurtçu, PhD is a speaker for ODSC East 2023 this May 9th-11th. Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! That’s why any discussion about AI/ML is also a discussion about data integrity. How does this all tie into AI/ML?

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Towards AI

MARCH 5, 2023

Last Updated on March 5, 2023 by Editorial Team Source: Image generated with generative AI via Midjourney. Last updated March 5, 2023 Are you tired of endlessly scouring the internet for the perfect laptop to power your machine learning, deep learning, and data science projects? Well, search no further!

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Dataconomy

MAY 16, 2023

Their expertise lies in designing algorithms, optimizing models, and integrating them into real-world applications. They possess a deep understanding of machine learning algorithms, data structures, and programming languages.

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ODSC - Open Data Science

APRIL 18, 2023

Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Finance and algorithmic trading aren’t just up to numbers, as the market fluctuates based on news and trends in social media.

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Towards AI

AUGUST 6, 2023

Last Updated on August 7, 2023 by Editorial Team Author(s): Hasib Zunair Originally published on Towards AI. Motivation Recent updates in machine learning (ML) and computer vision (CV) are a mouthful, from Stable Diffusion for generative artificial intelligence (AI) to Segment Anything as foundation models. for recent papers in ML.

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. This will lead to algorithm development for any machine or deep learning processes.

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Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

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Towards AI

OCTOBER 11, 2023

Last Updated on October 12, 2023 by Editorial Team Author(s): Lorenzo Pastore Originally published on Towards AI. Last Updated on October 12, 2023 by Editorial Team Author(s): Lorenzo Pastore Originally published on Towards AI.

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ODSC - Open Data Science

AUGUST 18, 2023

With ODSC APAC 2023 just around the corner on August 22nd and 23rd, we couldn’t be more excited to announce our keynote speakers, Eve Psalti, Alison Cossette, and Radhakrishnan G (Krish). These luminaries have extensive experience in both leading teams and successfully driving AI initiatives. Get your free or paid pass here.

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Google Research AI blog

APRIL 23, 2023

Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. Jatho , Joshua A.

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ODSC - Open Data Science

MARCH 15, 2023

We’re excited to announce some of the incredible and totally new sessions we have coming to ODSC East May 9th — 11th, 2023 in Boston and online. You’ll also explore centrality metrics, networking density, various layout algorithms, and strategies for interpreting and communicating graph data. Register for ODSC East 2023 now.

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Google Research AI blog

APRIL 30, 2023

Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.

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Towards AI

JULY 17, 2023

Last Updated on July 18, 2023 by Editorial Team Author(s): OneByyTwo Originally published on Towards AI. Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. We used the Apriori algorithm on python to conduct the Market Basket Analysis separately for Apple and Samsung.

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ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML. Revolution of AI: Will ChatGPT Replace Search Engines in 2023?

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Ocean Protocol

JANUARY 23, 2024

We are excited to announce the winners of our 2023 Data Challenge Championship and end-of-season rewards! 2023 Season Highlights: - 17 Unique data science competitions hosted in Web3 guardrails. - 2023 was the second year of Ocean-sponsored Data Challenges and the first year of the leaderboard & championship season (1/23–12/23).

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ODSC - Open Data Science

MARCH 27, 2023

Learn about the flow, difficulties, and tools for performing ML clustering at scale Ori Nakar | Principal Engineer, Threat Research | Imperva Given that there are billions of daily botnet attacks from millions of different IPs, the most difficult challenge of botnet detection is choosing the most relevant data.

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ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free. Get the deal here!

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Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. As such, my intention with this blog is not to duplicate those definitions but rather to encourage you to question and evaluate your current ML strategy. Source: Image by the author. Source: Image by the author.

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ODSC - Open Data Science

MARCH 22, 2023

To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC East 2023 and let the experts via their topics guide us toward building better machine learning. As a bonus, we’ll look into boosting your ML performance with smart upsampling.

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Towards AI

JULY 24, 2023

Last Updated on July 25, 2023 by Editorial Team Author(s): Suyang Li Originally published on Towards AI. Well, it turns out machines and ML models face the same challenge: forgetting counterproductive or harmful memories isn’t always as smooth and easy as a simple click on “delete”. So, what is this field that helps machines forget?

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ODSC - Open Data Science

APRIL 13, 2023

How to Use Machine Learning for Algorithmic Trading Machine learning has proven to be a huge boon to the finance industry. Here, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Final ODSC East 2023 Schedule Released!

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