Sat.Jan 29, 2022 - Fri.Feb 04, 2022

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7 Steps to Mastering Machine Learning with Python in 2022

KDnuggets

Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

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Interactive Tweet Sentiment Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […]. The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya.

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DeepMind claims its new code-generating system is competitive with human programmers

Dataconomy

Last year, San Francisco-based research lab OpenAI released Codex, an AI model for translating natural language commands into app code. The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of.

AI 244
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When There Were More Deaths Than Births in the U.S.

FlowingData

The two counts have been getting closer to each other. The past couple of years accelerated the process. Read More.

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Navigating the Future: Generative AI, Application Analytics, and Data

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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How to Write SQL in Native Python

KDnuggets

If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

SQL 372
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Statistical Inference Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hey folks! Data science is an emerging technology in the corporate society and it mainly deals with the data. Applying statistical analysis to data and getting insights from it is our main objective. A company wil store millions of records for analysis. A […]. The post Statistical Inference Using Python appeared first on Analytics Vidhya.

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Several IIoT Solutions That Help Your Business

Smart Data Collective

For the first time, the Internet of Things (IoT) appeared in 1999. The basis of this concept is data transmission between devices that allows them to gather, process, and analyze information using special equipment and software. In other words, the IoT system means connecting things (equipment) to the Internet for improving the quality of people’s life.

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Data Science Programming Languages and When To Use Them

KDnuggets

Read this guide through the most common data science programming languages and when to use them in data science.

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Implementing Logistic Regression from Scratch using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression If you are here, you are already introduced to the concept of logistic regression and probably have had your hands dirty working on different datasets. The scikitlearn’s LogisticRegression is by far the best tool to use for any logistic regression […].

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Blockchain and AI Equals the Future of Secure Data Processing and Storage

Dataconomy

Blockchain and AI are two of the most disruptive technologies available today. As these technologies continue to develop, whole industries will be transformed. However, a lack of access to open source projects can hinder the development and use of both AI and blockchain. Data, one of the most important aspects.

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Get Better Network Graphs & Save Analysts Time

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.

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Data Analytics Helps Optimize Subscriber-Based Business Models

Smart Data Collective

The subscription market enjoys immense popularity. The one-time purchase method isn’t considered to be efficient within specific niches. Therefore, the subscription business model is changing how customers pay for the service they receive. The concept includes paying a small fee over the time of the relationship between the company and the customer.

Analytics 107
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Artificial Intelligence and the Metaverse

KDnuggets

For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. .

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Privacy-Preserving in Machine Learning (PPML)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Machine learning (ML) has a lot of potential for increasing productivity. However, the quality of the data for training ML models should be excellent to provide good results. Any ML algorithm provides excellent performance only when there is huge and perfect data fed […].

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Accuracy of groundhog weather prediction

FlowingData

For FiveThirtyEight, Simran Parwani and Kaleigh Rogers compared Groundhog Day predictions against actual weather data from the National Oceanic and Atmospheric Administration: After dozens of grueling hours of investigation, FiveThirtyEight can confirm that Punxsutawney Phil is a charlatan. A groundbreaking analysis has revealed the Pennsylvania-based groundhog who makes annual predictions about the arrival of spring is not nearly as reliable a prognosticator as those close to him claim.

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Understanding User Needs and Satisfying Them

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.

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Data trends that will impact you in 2022

Tableau

Mark Nelson. President and CEO, Tableau. Bronwen Boyd. February 1, 2022 - 3:06am. February 3, 2022. If the past two years have shown us anything it’s that the ability to quickly transform your business is imperative if you want it to survive. When the pandemic took hold, many organizations had to adjust strategies and adapt to a new world—one that mostly took place online.

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Classifying Long Text Documents Using BERT

KDnuggets

Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

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Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […]. The post Deploy your ML model as a Web Service in Microsoft Azure Cloud appeared first on Analytics Vidhya.

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What to Expect from AI in 2022

Dataversity

These past two years have ushered in major changes to how we navigate work, human interactions, and information. These shifts have coincided with the increased maturity of AI as a field. As AI has become more widespread, accessible, and acceptable, it’s stepped in to fill gaps in the economic, social, institutional, and political realms – […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Data trends that will impact you in 2022

Tableau

Mark Nelson. President and CEO, Tableau. Bronwen Boyd. February 1, 2022 - 3:06am. February 3, 2022. If the past two years have shown us anything it’s that the ability to quickly transform your business is imperative if you want it to survive. When the pandemic took hold, many organizations had to adjust strategies and adapt to a new world—one that mostly took place online.

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5 Ways To Use AI For Supply Chain Management

KDnuggets

Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.

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R Programming Concepts Made Easy!

Analytics Vidhya

Overview How is Type Casting done in R? Discussing about the Date datatype in R Understanding the concept of Encoding in R Introduction While the majority of the concepts remain somewhat similar across the various tools and technologies that we learn for data science, there are few concepts special to a particular tool or a […]. The post R Programming Concepts Made Easy!

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How to Ensure Continuous Improvement With Data Governance

Alation

DevOps. Lean. Kaizen. What do all these disciplines have in common? Continuous improvement. What Is Continuous Improvement? Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process. And they continuously improve by integrating new insights into future cycles. Borne of the Japanese business philosophy, kaizen today is most often associated with Toyota.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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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7 Mind-Blowing Facts You Didn’t Know About AI

Smart Data Collective

The concept of artificial intelligence has been around for some time now, and there are major breakthroughs in AI technology. AI developers are making progress creating new applications. There are tons of devices that use artificial intelligence because there are tons of artificial intelligence companies that deal in many spheres. Efforts over the past two decades have been primarily focused on the development of artificial intelligence and machine learning.

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Effective Testing for Machine Learning

KDnuggets

Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better. Deep learning, natural language processing, and computer vision are examples […].

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Best of Tableau Web: January 2022

Tableau

Mark Bradbourne. National Solutions Engineer, Tableau . Bronwen Boyd. February 3, 2022 - 10:19pm. February 5, 2022. Last month, Andy was discussing the value and the breadth of all the Tableau Community projects, and one of those is a new kid on the block called Back to Viz Basics (B2VB). From this project, I saw a really great post from Darragh Murray about the importance of exploratory data analysis.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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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Questioning Novak Djokovic’s Covid tests, based on data

FlowingData

Tennis player Novak Djokovic is not vaccinated against the coronavirus, and as a result, was not allowed to compete in the Australian Open. Data collated by the BBC suggests that Djokovic lied about his Covid-19 test results in an attempt to get around rules: The confirmation codes in all cases slotted into the same chronological timeline as our initial batch sent by BBC colleagues and showed that the earlier the test result date, the lower the confirmation code.

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Baidu Research Unveils Top 10 Tech Trends Forecast for 2022

KDnuggets

These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.

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Speech to Text Conversion in Python – A Step-by-Step Tutorial

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Text to Speech When it comes to our interactions with machines, things have gotten a lot more complicated. We’ve gone from large mechanical buttons to touchscreens. However, hardware isn’t the only thing that’s changing. Throughout the history of computers, the text has […].

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The Role of Blockchain in the Launch and Growth of Cryptocurrency

Smart Data Collective

Blockchain technology has changed our lives in innumerable ways. One of the most obvious impacts of blockchain technology has been in the cryptocurrency industry. In fact, blockchain is largely attributed with the birth of bitcoin and other cryptocurrencies. It remains one of the most important forms of technology that is shaping the industry in the years to come.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.