Sat.Dec 10, 2022 - Fri.Dec 16, 2022

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How To Overcome The Fear of Math and Learn Math For Data Science

KDnuggets

Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".

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Meta-Reinforcement Learning in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning. Supervised machine learning is a type of machine learning that is the easiest and less complex type or branch of data science. […].

professionals

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The rise of integrated photonics: How light is changing the face of computing?

Dataconomy

Optical computing is a revolutionary technology that has the potential to change the way we think about computation. Unlike traditional computers, which use electrical signals to perform calculations, optical computing uses light. This allows for a much higher frequency of data processing, making it possible to run large and complex.

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Another Block In The Wall, No-Code Software With ‘Composable’ Architecture

Adrian Bridgwater for Forbes

The whole world of low-code no-code is getting more controlled, more automated and (it’s tough to argue against it) more interesting. No-code is the new yes-code, wait for the branding slogan soon.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Top 5 NLP Cheat Sheets for Beginners to Professional

KDnuggets

The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.

Algorithm 400
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Machine Learning with Limited Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].

More Trending

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What Cloud Modernization Means

Adrian Bridgwater for Forbes

We now move to so-called ‘modern cloud’, a state of being where we can tap into new optimizations and automations being brought to market by the major hyperscalers (AWS, Google Cloud Platform & Microsoft Azure, obviously) and the contenders edging for a space at the group-of-three’s big table.

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Free Intermediate Python Programming Crash Course

KDnuggets

Master the basics of python with this free crash course.

Python 400
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Streamlining Machine Learning Workflows with MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].

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Transforming your business with data observability in the era of digitization

Dataconomy

Data observability is a critical concept in today’s fast-paced and data-driven world. It refers to the ability of teams to proactively review and discover insights from their data in real time without experiencing significant data downtime. This is made possible by powerful engines that are designed to ingest and process.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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8 Ways AI Contributes to Ecommerce Business Scalability

Smart Data Collective

Artificial intelligence has offered a plethora of benefits for businesses in every sector. The ecommerce industry is among those most benefiting from advances in AI. Therefore, it is no surprise that the market for AI-enabled ecommerce services is projected to be worth nearly $17 billion by 2030. Ecommerce giants like Amazon are finding creative ways to leverage AI.

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The Complete MLOps Study Roadmap

KDnuggets

Kickstart your career as an MLOps Engineer with this study roadmap.

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Know about Zero Shot, One Shot and Few Shot Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning. Having challenges, in recent advances, Machine learning has come up with new […].

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Unlocking the secrets of the blockchain nonce

Dataconomy

The blockchain nonce, one of the most important parts of blockchain encryption, has been kept under wraps for a while. Only glossaries and a few brief explanations of the nonce’s function contain descriptions of them. You may learn more about nonce in blockchain and how it relates to cryptography in.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient. However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance.

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5 Python Projects for Data Science Portfolio

KDnuggets

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

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ChatGPT: Unlocking the Potential of Artificial Intelligence for Human-Like Conversation

Analytics Vidhya

Introduction ‘Hey, Siri, ‘Hey, Google,’ and ‘Alexa’ are some common voice assistants we use on an everyday basis. These fascinating conversational bots use Natural Language Understanding to understand the inputs. NLU is a subset of Natural Language Processing that enables the machine to understand the natural language (text/audio). NLU is a critical component in most […].

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Apple will be safer than ever with iOS 16.2

Dataconomy

Apple rolls out new security features with iOS 16.2. such as advanced data protection for iCloud, iMessage Contact Key Verification, and Security Keys for Apple ID. These new tools will protect your most sensitive data and communications. But one of them was wanted for a long time; advanced data protection.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Horizontal Hold, What Is A Vertical Application?

Adrian Bridgwater for Forbes

We are at that watershed tipping inflexion point where the enterprise software industry has produced a weight of product that now enables us to start looking after more specialized, vertically aligned use cases.

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Markdown Cheatsheet

KDnuggets

Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!

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Introduction to HyperLedger Fabric in Blockchain Network

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction HyperLedger Fabric is a permissioned blockchain infrastructure initially developed by IBM and Digital Asset. It is used for providing a modular architecture with a delineation of roles between the nodes in the infrastructure. It is also used in the execution of various Smart […].

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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market. Big data is large chunks of information that cannot be dealt with by traditional data processing software. It needs to be analyzed with premium tech tools to deduce insights germane to user experience as well as scaling businesses.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Generative AI that Creates Video and Animation from Text Prompts

What's The Big Data?

The first multimodal generative AI video platform to combine text, image and animation in one interface.

AI 130
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Zero-shot Learning, Explained

KDnuggets

How you can train a model to learn and predict unseen data?

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Understand the ACID and BASE in Morden Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […]. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.

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Building a Cybersecurity Lakehouse for CrowdStrike Falcon Events Part III

databricks

In Part I of this series, we walked through the process of setting up a Cybersecurity Lakehouse that allowed us to collect and.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery

DrivenData Labs

How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery ¶ Welcome to the benchmark notebook for the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge ! If you are just getting starting, we recommended reading the competition homepage first. The goal of this benchmark is to: Demonstrate how to explore and work with the data Provide a basic framework for building a model Demonstrate how to package your work correctly for submission You can either expand on and improve

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Tuning Adam Optimizer Parameters in PyTorch

KDnuggets

Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

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CRUD Operations in MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MongoDB is a type of NoSQL Database, that stores data in document format(bson or binary json format). Its advantage over traditional SQL Databases includes the flexibility of schema-design, relaxation of its ACID properties and its distributed data storage capability thus performing better for […].

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Accelerating SIEM Migrations With the SPL to PySpark Transpiler

databricks

In this blog post, we introduce transpiler, a Databricks Labs open-source project that automates the translation of Splunk Search Processing Language (SPL) queries.

ML 130
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!