Analytics Vidhya
JANUARY 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words. It helps to predict which word is more likely to appear next in the […]. The post Building Language Models in NLP appeared first on Analytics Vidhya.
DataKitchen
JANUARY 3, 2022
The post Data Science and AI Predictions for 2022 first appeared on DataKitchen.
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KDnuggets
JANUARY 6, 2022
Integrate Excel with Word to generate automated reports seamlessly.
datapine
JANUARY 6, 2022
Table of Contents. 1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
JANUARY 4, 2022
This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. Image […]. The post Diabetes Prediction Using Machine Learning appeared first on Analytics Vidhya.
DataKitchen
JANUARY 3, 2022
Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
TDAN
JANUARY 5, 2022
Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information. One privacy leader defines it as the “inclusion and implementation of […].
Analytics Vidhya
JANUARY 6, 2022
Introduction Data science is a collaborative scientific field of computing that has grown many folds in recent years and has become the powerhouse behind the business decisions made by organizations in today’s time, be it the FAANG’s or early-stage startups. As the field has grown, so have the number of individuals pursuing this domain and […].
DataKitchen
JANUARY 7, 2022
The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.
KDnuggets
JANUARY 4, 2022
To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.
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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?
Timo Elliott
JANUARY 3, 2022
Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. They had been doing this for years. Elsewhere, other astronomers had been doing the same. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Like other radio astronomers, they had long detected a consistent noise pattern.
Analytics Vidhya
JANUARY 5, 2022
This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Types of Machine Learning Algorithms 3. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7. SVM 8. KNN 9. K Means Clustering Introduction We all know how Artificial Intelligence is leading nowadays. Machine Learning […].
Juice Analytics
JANUARY 4, 2022
You are the narrator of your data story. With great power comes great responsibility. You’ll need to do the following things: Set the Context. Explain what the data story is about and why your audience should care. Describe the Charts What measures and dimensions are being shown? How should the chart be interpreted? Guide the Flow. What should the reader look at next?
KDnuggets
JANUARY 6, 2022
Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation.
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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.
Timo Elliott
JANUARY 6, 2022
Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place.
Analytics Vidhya
JANUARY 5, 2022
This article was published as a part of the Data Science Blogathon. Source: […]. The post RFM and CLTV to Know Your Customers Better appeared first on Analytics Vidhya.
Smart Data Collective
JANUARY 6, 2022
Introduction. It is no secret that businesses that are looking to maximize profit in the near future are looking at the role AI can play to unlock potential profits. For businesses in industries that rely on Computer-Aided Design (CAD) the question can be asked, how is AI transforming their industry or supplementing current technology to help boost profit margins?
KDnuggets
JANUARY 5, 2022
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.
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.
Timo Elliott
JANUARY 5, 2022
This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.
Analytics Vidhya
JANUARY 3, 2022
This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Machine Learning Pipeline Data Preprocessing Flow of pipeline 1. Creating the Project in Google Cloud 2. Loading data into Cloud Storage 3. Loading Data Into Big Query Training the model Evaluating the Model Testing the model Summary Shutting down the […].
Smart Data Collective
JANUARY 6, 2022
Advances in artificial intelligence have been shaping the state of the Internet for years. One of the biggest changes has been in the arena of cybersecurity. AI technology has been a double-edged sword for the cybersecurity sector. On the one hand, it offers robust protection against data breaches , malware and other online security threats. Cybersecurity experts are expected to spend over $38.2 billion on AI-driven cybersecurity solutions by 2026.
KDnuggets
JANUARY 3, 2022
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about SARSA, a powerful RL algorithm.
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.
The Data Visualisation Catalogue
JANUARY 1, 2022
Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular. The data we will explore here is taken from the English site and is from 1 st January 2021 – 31 st December 2021, with the previously mentioned years following the same date range. First, we have the list for the top-10 visualisation reference pages in 2021 based on page-views: If we compare back to the data from the previous year (2020) we
Analytics Vidhya
JANUARY 7, 2022
Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ. This article will discuss some of the features and applications of data warehouses, data marts, and data […].
Smart Data Collective
JANUARY 3, 2022
There is no denying the fact that artificial intelligence has become important in the field of web design. A growing number of web developers are using data analytics, AI and other big data tools to make the most out of their strategy. In fact, e-commerce and SaaS platforms are part of the reason that the market for AI is projected to be worth $126 billion by 2025.
KDnuggets
JANUARY 3, 2022
Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Dataiku
JANUARY 5, 2022
Global crises usually force companies to become more resilient and make bold moves that can sometimes turn difficulties into opportunities. With the current global health crisis, companies do have tools at their disposal to help them recover from this period of uncertainty and accelerate for the future. As such, before March 2020, many companies had already launched AI and analytics use case initiatives, but the challenge was how to scale those efforts.
Analytics Vidhya
JANUARY 5, 2022
Fractal, a global provider of artificial intelligence and advanced analytics solutions to Fortune 500® companies, today announced a huge US$ 360 million (~ INR 2700 crores) investment from TPG, a leading global alternative asset firm. The transaction is expected to close by the first quarter of 2022. What should you know about Fractal? Founded […].
Smart Data Collective
JANUARY 7, 2022
Artificial intelligence has become a lot more important for many industries. There are a lot of companies that use AI technology to streamline certain functions, bolster productivity, fight cybersecurity threats and forecast trends. The market for AI technology is going to continue to grow as more companies discover the benefits it provides. In November, Garter published a study that found companies around the world will spend $62 billion on AI technology.
KDnuggets
JANUARY 4, 2022
Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.
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.
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