Analytics Vidhya

MARCH 17, 2022

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].

Machine Learning 398

Machine Learning Data Science Automation Python 398

DataRobot Blog

MARCH 17, 2022

Businesses today operate under greater pressure and greater uncertainty than ever before. An uncertain geopolitical climate, an unpredictable and fragile supply chain, the prolonged response to an evolving pandemic, and the shifting dynamics of a globally distributed workforce have all contributed to unprecedented challenges for businesses across industries.

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Machine Learning AI AI Data Scientist 52

Dlabs.ai

MARCH 15, 2022

If you follow DLabs.AI on LinkedIn, you might have noticed we publish a series there called ‘InsideAI.’ As we want as many readers to enjoy it as possible, we’ve now decided to post it on our blog too. For the uninitiated: InsideAI is our monthly newsletter that captures the most interesting, surprising, and important news from the previous four weeks in the wonderful world of AI, so this month, it includes everything that caught our eye in February.

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fast.ai

MARCH 14, 2022

On the surface, I may seem into math: I have a math PhD, taught a graduate computational linear algebra course, co-founded AI research lab fast.ai , and even go by the twitter handle @math_rachel.

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AI Research AI Researcher AI AI 52

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

MARCH 15, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

Data Science 384

Data Science Python Machine Learning 384

DeepMind

MARCH 15, 2022

Language models like Gopher can “hallucinate” facts that appear plausible but are actually fake. Those who are familiar with this problem know to do their own fact-checking, rather than trusting what language models say. Those who are not, may end up believing something that isn’t true. This paper describes GopherCite, a model which aims to address the problem of language model hallucination.

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fast.ai

MARCH 13, 2022

I have been organizing and facilitating a series of Ethics Workshops for the Australian Data Science Network , featuring lightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy.

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Data Science Explainability Machine Learning AI 52

Analytics Vidhya

MARCH 15, 2022

This article was published as a part of the Data Science Blogathon. Prelude People like being people. They don’t care what content they are producing. So there can be abusive, illegal, sensitive, and scam content too which is highly dangerous to society and can have an adverse effect. Thus platforms such as youtube, Meta, Twitter spend […].

Machine Learning 374

Machine Learning Data Science Python 374

NLPhilia

MARCH 17, 2022

Dr. Jack Schafer, a retired Special Agent for the FBI, described how telling a story can help you prevent suicide. Save a Life. Tell A Story. originally appeared on NLPhilia Blog on 2022-03-17 (Thursday).

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Business Intelligence

DeepMind

MARCH 15, 2022

Language models like Gopher can “hallucinate” facts that appear plausible but are actually fake. Those who are familiar with this problem know to do their own fact-checking, rather than trusting what language models say. Those who are not, may end up believing something that isn’t true. This paper describes GopherCite, a model which aims to address the problem of language model hallucination.

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Marek Rei

MARCH 14, 2022

This is a collection of advice that I give to students doing research projects in NLP/ML/AI. It includes suggestions that I wish I had known when I myself first started, as well as lessons from supervising students in previous years. I would recommend reading this once before starting your project, then again after about a month or two into the project.

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Analytics Vidhya

MARCH 14, 2022

This article was published as a part of the Data Science Blogathon. Here we’re going to summarize a convolutional-network architecture called densely-connected-convolutional networks or DenseNet. So the problem that they’re trying to solve with the density of architecture is to increase the depth of the convolutional neural network. Source Wikipedia Here we first learn about what […].

Convolutional Neural Networks 374

Convolutional Neural Networks Neural Network Data Science 374

Analytics Vidhya

MARCH 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Python is an excellent programming language to automate stuff. It has many libraries that can be used to create awesome reusable codes. One such library is python-Docx. The library can be used extensively for document processing like – 1. Adding heading 2. Reading […].

Python 370

Python Data Science Automation 370

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. A Deep Belief Network (DBN) is a sophisticated generative model that employs a deep architecture. In this article, we are going to learn all about it. After reading this article, you will have a better understanding of what a Deep Belief Network is, how […]. The post An Overview of Deep Belief Network (DBN) in Deep Learning appeared first on Analytics Vidhya.

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Deep Learning Data Science Python 364

Analytics Vidhya

MARCH 17, 2022

This article was published as a part of the Data Science Blogathon. Till now we have covered different pre-trained models for the image-classification tasks and we have a fair understanding of object detection, and we looked at the different architectures that can be used for solving the object detection problems. [link] To summarize object detection involves […].

Data Science 348

Data Science Computer Vision Python Machine Learning 348

Analytics Vidhya

MARCH 15, 2022

This article was published as a part of the Data Science Blogathon. Overview 1. Introduction 2. What are recommendation engines? 3. Types of recommendation systems a. Content-Based filtering b. Collaborative filtering c. Hybrid filtering 4. Why content-based filtering is not used on a large scale? 5. Recommendation engine algorithms 6. How to solve recommender system problems?

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Algorithm Data Science Deep Learning Python 349

Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. Hello all, welcome to a wonderful article where we will be exploring learnings for audio and sound classification using Machine learning and deep learning. It is amazing and interesting to know-how machines are capable to understand human language, and responding in the same human […].

Deep Learning 344

Deep Learning Machine Learning Data Science Python 344

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

MARCH 15, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be working on the object’s motion detection (specifical vehicles) by using the techniques of contours detection and also background subtraction. In this particular we will be using a video of vehicles for the car detection i.e. it is […].

Data Science 329

Data Science Python 329

Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be working to develop an application that will help in the image-segmentation. It is very easy to use this application, on the first window with mouse drag we will select a part of the picture, and then on […]. The post Image Segmentation using OpenCV appeared first on Analytics Vidhya.

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Data Science Computer Vision Python Machine Learning 323

Analytics Vidhya

MARCH 17, 2022

This article was published as a part of the Data Science Blogathon. An end-to-end guide on classifying facial emotion in real-time using deep learning. […]. The post Understand the Realtime Image Classification: CNN appeared first on Analytics Vidhya.

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Deep Learning Data Science Computer Vision Python 324

Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Working with dataset Creating loss dataframe Visualizations Analysis from Heatmap Overall Analysis Conclusion Introduction In this article, I am going to perform Exploratory Data Analysis on the Sample Superstore dataset. The link for the Dataset is: [link] You can download it […].

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Analytics Vidhya

MARCH 16, 2022

Introduction Bootcamps, college degree programs, and online courses all have similar purposes. Helping you acquire skills or helping you learn specific subjects. Now, these different options of educating yourself are different in terms of the duration of the programs or how intensely they cover topics. Data Science Bootcamps are a great option for acquiring a […].

Data Science 318

Data Science 318

Analytics Vidhya

MARCH 17, 2022

To Data Science Enthusiasts, We are happy to bring you another webinar into ‘The DataHour’ series. The webinar is based on building and operationalizing your ML Model using Tableau Business Science. This webinar will be conducted by Amir Meimand, who is currently working as Principal Solution Engineering on the Salesforce strategic solution team focusing on Data Science […].

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ML Data Science Machine Learning 317

Analytics Vidhya

MARCH 17, 2022

This article was published as a part of the Data Science Blogathon. Machine learning and artificial intelligence, which are at the top of the list of data science capabilities, aren’t just buzzwords; many companies are keen to implement them. Prior to developing intelligent data products, however, the frequently overlooked core work required to make it happen, […].

Data Science 307

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 307

Analytics Vidhya

MARCH 16, 2022

Overview Know top 10 libraries in python Know about the features and uses of these libraries Introduction Python is a prevalent programming language. It’s easy to use, highly interpretable, interactive, and object-oriented. Python libraries contain functions and methods that facilitate specific tasks. Also, it saves developers a significant amount of time and headache!

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Python 299

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

MARCH 15, 2022

Introduction Remember when you were in elementary school and you were learning how to add and subtract numbers? Now, you can do the same with images also! The input images can be subjected to arithmetic operations such as addition, subtraction, and bitwise operations (AND, OR, NOT, XOR). These operations can help to improve the qualities […]. The post Learn Arithmetic Operations on Images appeared first on Analytics Vidhya.

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