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 400

Machine Learning Data Science Automation Python 400

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.

Machine Learning 52

Machine Learning AI AI Automation 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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Robotics Algorithm Deep Learning Artificial Intelligence 52

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 Researcher AI Research AI AI 52

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

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 […].

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Python Data Science Automation 397

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.

Data Science 52

Data Science Explainability Machine Learning AI 52

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.

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Data Science Python Machine Learning 393

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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Generative AI

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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NLP ML Neural Network Deep Learning 40

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 […].

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Convolutional Neural Networks Neural Network Data Science 388

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 376

Machine Learning Data Science Python 376

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.

LLM

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 373

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?

Algorithm 348

Algorithm Data Science Deep Learning Python 348

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 348

Deep Learning Machine Learning Data Science Python 348

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.

Deep Learning 345

Deep Learning Data Science Computer Vision Python 345

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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 343

Data Science Computer Vision Python Machine Learning 343

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 339

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 336

Data Science Python 336

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 323

Data Science 323

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.

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.

Data Science 315

Data Science Computer Vision Python Machine Learning 315

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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Python Data Analysis Data Science Machine Learning 315

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, […].

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 314

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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Computer Vision Python 309

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Data Analysis

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 296