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.
KDnuggets
JANUARY 5, 2022
A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well.
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Dataconomy
JANUARY 5, 2022
Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized.
The Data Administration Newsletter
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 […].
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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?
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 […].
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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?
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.
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.
Tableau
JANUARY 5, 2022
Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. January 5, 2022 - 9:52pm. January 8, 2022. Welcome to 2022. With the end of one year and the start of another, it’s a good time to reflect and renew. I enjoy reading your summaries of recent times. Sarah Bartlett’s review of the year is always thorough and an inspiration. Donna Coles reflects on Workout Wednesday using a viz.
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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.
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.
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 […].
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.
Tableau
JANUARY 6, 2022
Danika Harrod. Marketing Manager, Community Content & Events, Tableau. Bronwen Boyd. January 6, 2022 - 9:05pm. January 10, 2022. The ultimate data showdown is back. We are calling on data rockstars (that’s you) from around the world to compete in our annual Iron Viz competition. No matter how long you’ve used Tableau, this is an opportunity to challenge yourself, learn something new, and engage with an incredible community.
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.
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.
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 […].
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.
FlowingData
JANUARY 5, 2022
One of my favorites of the year, Sam Learner’s River Runner shows you a terrain map that lets you place a drop of rain anywhere in the contiguous United States. You’re then taken on a river tour that shows where the drop ends up. Learner just expanded the project to let you drop water anywhere in the world. Tags: rain , river , Sam Learner , water.
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.
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.
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 […].
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.
Dataversity
JANUARY 6, 2022
Since the onset of the pandemic, when the world plunged into a state of suspended animation, “touchless business” has become more than a boardroom buzzword, a survival mechanism. Customer interactions have been digitized at a pace accelerated by three years, while enterprises’ speed of response to changes, such as increasing the use of technology in […].
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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.
Smart Data Collective
JANUARY 6, 2022
People keep receiving dismal news on internet security these days. In 2020, data breaches rose by almost 20% between January and September. Hence, users are increasingly aware of how vital data encryption is to protect their data. A significant development is making the web much safer in an encouraging sign. . When you visit most websites, you might notice a green lock just beside its address.
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 […].
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.
Dataversity
JANUARY 4, 2022
Any time we stare into the crystal ball and try to predict the future, we try to balance what we want to see and what we hope won’t happen. We have to extrapolate from our own experiences, and what we think will take place after. And we’ll have to try and anticipate things that might […]. The post Predictions for 2022: What Does the Future Hold for Databases and Open Source?
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.
Tableau
JANUARY 6, 2022
Danika Harrod. Marketing Manager, Community Content & Events, Tableau. Bronwen Boyd. January 6, 2022 - 9:05pm. January 10, 2022. The ultimate data showdown is back. We are calling on data rockstars (that’s you) from around the world to compete in our annual Iron Viz competition. No matter how long you’ve used Tableau, this is an opportunity to challenge yourself, learn something new, and engage with an incredible community.
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.
KDnuggets
JANUARY 3, 2022
Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python).
Dataversity
JANUARY 3, 2022
With data dependency at an all-time high for businesses, almost every industry player is looking to establish themselves as a technology company first, similar to Amazon or Netflix. Organizations have pushed the gas pedal on their digital transformation journey, and now understand that they need to be mindful of how they integrate and manage enterprise […].
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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