KDnuggets

MARCH 30, 2023

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

Natural Language Processing 440

Natural Language Processing Data Science Machine Learning Machine Learning 440

KDnuggets

MARCH 2, 2023

Learn Data Science in 2023 for FREE with these online courses.

Data Science 400

Data Science 400

insideBIGDATA

MARCH 9, 2023

In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system. While this can be a costly investment, there's no reason that even a startup can't be a part of the data transformation that is affecting almost every industry sector today.

Analytics 525

Analytics Analytics AI AI 525

Data Science Dojo

MARCH 8, 2023

Python has become a popular programming language in the data science community due to its simplicity, flexibility, and wide range of libraries and tools. With its powerful data manipulation and analysis capabilities, Python has emerged as the language of choice for data scientists, machine learning engineers, and analysts.     By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.

Data Science 497

Data Science Python Machine Learning Machine Learning 497

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Machine Learning Mastery

MARCH 9, 2023

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent neural network (RNN) that expects the input in the form of a sequence of features. It is useful for data such as time series or string of text. In this post, you will learn about […] The post LSTM for Time Series Prediction in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 363

Deep Learning Deep Learning 363

Analytics Vidhya

MARCH 2, 2023

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

Python 371

Python Analytics Analytics Data Science 371

KDnuggets

MARCH 21, 2023

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

Data Science 400

Data Science Business Intelligence Business Intelligence SQL 400

insideBIGDATA

MARCH 7, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

Deep Learning 515

Deep Learning Deep Learning Big Data Big Data 515

Cassie Kozyrkov

MARCH 16, 2023

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

Data Science 328

Data Science 328

Machine Learning Mastery

MARCH 2, 2023

PyTorch is a deep learning library. You can build very sophisticated deep learning models with PyTorch. However, there are times you want to have a graphical representation of your model architecture. In this post, you will learn: How to save your PyTorch model in an exchange format How to use Netron to create a graphical […] The post Visualizing a PyTorch Model appeared first on MachineLearningMastery.com.

Deep Learning 363

Deep Learning Deep Learning 363

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Analytics Vidhya

MARCH 2, 2023

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

Deep Learning 351

Deep Learning Deep Learning Machine Learning Machine Learning 351

databricks

MARCH 6, 2023

ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are.

ML 287

ML ML 287

KDnuggets

MARCH 29, 2023

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Natural Language Processing 400

Natural Language Processing Data Science Deep Learning Deep Learning 400

insideBIGDATA

MARCH 30, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 495

Big Data Big Data Cloud Data Database 495

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Dataconomy

MARCH 21, 2023

What can Runway AI Gen-2 do for you? Let me explain; imagine you need a video that contains a hiker through a jungle brush. What are the options for this that come to mind first? A) Going for a walk in the woods and shooting that video.

AI 203

AI AI Artificial Intelligence Artificial Intelligence 203

Machine Learning Mastery

MARCH 7, 2023

A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to develop a deep learning model to achieve near state-of-the-art performance on […] The post Handwritten Digit Recognition with LeNet5 Model in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 305

Deep Learning Deep Learning Machine Learning Machine Learning 305

Analytics Vidhya

MARCH 23, 2023

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

Data Visualization 344

Data Visualization Data Analysis Data Analysis Machine Learning 344

Flipboard

MARCH 26, 2023

The US chip-maker Nvidia has said cryptocurrencies do not “bring anything useful for society” despite the company’s powerful processors selling in huge quantities to the sector.

Artificial Intelligence 181

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 181

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

MARCH 28, 2023

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

AI 348

AI AI Artificial Intelligence Artificial Intelligence 348

insideBIGDATA

MARCH 18, 2023

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy. Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field.

Analytics 493

Analytics Analytics Data Analysis Data Analysis 493

Dataconomy

MARCH 6, 2023

Do you wish there was a way to search the internet for all your images simultaneously? PimEyes does exactly that. Pimeyes is an AI-powered face recognition search engine that can discover images of a specific face on the web.

AI 199

AI AI Artificial Intelligence Artificial Intelligence 199

Hacker News

MARCH 29, 2023

Google's Threat Analysis Group (TAG) discovered several exploit chains using Android, iOS, and Chrome zero-day and n-day vulnerabilities to install commercial spyware and malicious apps on targets' devices. [.

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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

Analytics Vidhya

MARCH 28, 2023

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

AI 343

AI AI ML ML 343

Flipboard

MARCH 30, 2023

The Federal Trade Commission (FTC) received a new complaint today from the Center for AI and Digital Policy (CAIDP), which calls for an investigation of OpenAI and its product GPT-4.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

KDnuggets

MARCH 8, 2023

The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.

AI 394

AI AI Artificial Intelligence Artificial Intelligence 394

insideBIGDATA

MARCH 13, 2023

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

Data Science 447

Data Science Database Deep Learning Deep Learning 447

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

AI

Dataconomy

MARCH 6, 2023

What is enterprise architecture? It is a strategic approach to designing and managing an organization’s structure, processes, systems, and technologies to achieve its business goals and objectives. It can be defined as the practice of designing, planning, and managing an organization’s overall structure and operations. This includes its business processes, technology infrastructure, and data architecture.

193

193

Hacker News

MARCH 28, 2023

Cybersecurity researchers have discovered a fundamental security flaw in the design of the IEEE 802.11 WiFi protocol standard, allowing attackers to trick access points into leaking network frames in plaintext form. [.

182

182

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

Machine Learning 339

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 339

Flipboard

MARCH 28, 2023

As Arthur C. Clarke once put it, any sufficiently advanced technology is “indistinguishable from magic.” Some might say this is true of ChatGPT, too — including, if you will, black magic.

AI 182

AI AI Artificial Intelligence Artificial Intelligence 182

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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