Dataiku
DECEMBER 20, 2021
The encoder-decoder framework is undoubtedly one of the most popular concepts in deep learning. Widely used to solve sophisticated tasks such as machine translation, image captioning, and text summarization, it has led to great breakthroughs.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Introduction In this article, we are going to learn how we can enable tensorflow for GPU Computations. Okay, let’s face it, Deep Learning Models are data-hungry and are often huge require a lot of computation power to train. Doing so on our device CPU […]. The post Tensorflow For GPU Computations appeared first on Analytics Vidhya.
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KDnuggets
DECEMBER 20, 2021
XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Businesses and Companies have a lot of customers these days. The number of customers widely vary. It might be in hundreds for a local grocery store, and it may be in millions for a national bank or an insurance company. Companies like Google and […]. The post What is Customer Analytics and Why is it important?
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.
KDnuggets
DECEMBER 20, 2021
Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Introduction In the last article, we have discussed implementing the BERT model using the TensorFlow hub; you can read it here. Implementing BERT using the TensorFlow hub was tedious since we had to perform every step from scratch. First, we build our tokenizer, then […]. The post Multiclass Classification Using Transformers for Beginners appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Overview This article will discuss building a system that can detect malaria from cell images. The plan will be created in the form of a web application that can make it easier for users and even make it easier for developers who make […]. The post Malaria Cell Image Classification – An End-to-End Prediction appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 20, 2021
Check out these powerful R libraries built by the world’s biggest tech companies.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Introduction: Good day to everyone! I hope everybody is doing well. Today, we’ll look at how to integrate Google Sheets with the Python programming language. In the guide below, we’ll be exploring how to use google sheets with python API. What are Google […]. The post A practical Guide on Google Sheet API Integration with python API using Google Cloud Platform appeared first on Analytics Vidhya.
DataRobot
DECEMBER 20, 2021
The value of AI these days is undeniable. However, in a fast-changing environment, a decision made at the right time is critical. We collect more and more diverse data types, and we’re not always sure how we can turn this data into real value. Sometimes it takes hours and days of experimenting to get valuable insights. Or even if we have a pretty good understanding of the problem, there is not enough data to run a successful project and deliver impact back to the business.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Analytics Vidhya
DECEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Well! Christmas is near and the Generative Adversarial Networks (GANs) are here:) I am sure everyone here heard the term GAN or at least dataset generation, image generation, music generation, etc. These all can be achieved using the GANs. Then, what are GANs? […]. The post A Comprehensive Guide on Types of Generative Adversarial Networks appeared first on Analytics Vidhya.
Jen Stirrup
DECEMBER 20, 2021
I know you will see this message. I’ve emailed you to ask you to stop it. Stop copying my posts and material and passing them off as your own. You are not me, and you never will be. Find your own voice. Write about your own experiences, successes and failures. You bring shame upon yourself by tritely stealing my work. This is straightforward thievery of my time, ideas and content.
CDW Research Hub
DECEMBER 20, 2021
The Apache Log4j remote code vulnerability discovered in early December has the entire cybersecurity industry—from practitioners to vendors—scrambling to understand the exploit, identify impacted systems, and determine the best response, especially if quickly updating systems isn’t possible. Severity and impact. If you don’t already know what the Log4j 0-day exploit is and what it means, this article is a primer, but here are a few quick facts: Vendor application: Apache Log4j (v2).
KDnuggets
DECEMBER 20, 2021
So, is a career in data analytics a good fit for you?
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.
FineReport
DECEMBER 20, 2021
In this era with the rapid development of information technology, enterprises are getting more demanding for information technology. At the same time, the number of enterprises with their information systems deployed is increasing. Thus, the stability of enterprise information systems is of paramount importance. Frequent system downs or data loss will impact the productivity of employees, sometimes even resulting in greater losses to the company.
Teradata
DECEMBER 20, 2021
By using the analogy of a watchmaker to better understand data mesh, we see data products in the context of gears, with each gear serving a unique purpose. Read more.
FineReport
DECEMBER 20, 2021
Free Download. Normally, developers would insert an image as the border of components in dashboards. But in the case where significant differences exist between the aspect ratios of components and border assets, the border will be incorrectly displayed. There’s no doubt that the management won’t be satisfied to see such things on the large screen dashboards, and it seems that there’s nothing can be done with it.
Cloudera
DECEMBER 20, 2021
The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. Another option — a more rewarding one — is to include centralized data management, security, and governance into data projects from the start.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
FineReport
DECEMBER 20, 2021
Free Download. The fast and accurate delivery of messages is something all businesses should be serious about. This is a way to shorten the communication chain and improve overall in-house work efficiency. Especially when business data is constantly updated, it forces companies to transmit real-time data and information more efficiently, so quick decisions can be made. “Mobile Data Analysis” has become an important weapon for enterprises.
Octopai
DECEMBER 20, 2021
There are two ways to build an impressive structure. This is one way: This is another way: Painting on the wall of the tomb of Rekhmire, the Egyptian vizier in the mid-15th century B.C.E. Which way do you prefer? Data under construction. In the corporate world, we rarely find ourselves building things with stone, bricks, or even steel and concrete. Today, we build with data.
FineReport
DECEMBER 20, 2021
The most common scenarios of FineReport large screen are the presentation and visualized analysis of data indicators. Traditionally, the design process is focused on the data and style suitable for large screens. The Data: Determine the specific content of the data that needs to be displayed, and at the same time confirm the requirements for responsiveness of each part of the data, to determine the corresponding visual elements.
Jet Global
DECEMBER 20, 2021
Effective capital planning is fraught with many of the same challenges as traditional profit and loss (P&L) budgeting. Departments request budget allocations, usually with some promised benefits attached, and managers must sort through those various proposals and ferret out the ones that most strongly support the company’s objectives. The challenge, very often, lies in comparing a multitude of “apples and oranges” scenarios, making some attempt to evaluate them, and allocating limited resour
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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