Analytics Vidhya

JANUARY 2, 2023

This article was published as a part of the Data Science Blogathon. Introduction You’re probably here because you’re confused about the difference between backpropagation and gradient descent. And you’re not the only one. Many beginners are often confused about the difference between gradient descent and backpropagation. This confusion arises because of how interconnected backpropagation and […].

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IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Just one of these problems can prove costly to an organization.

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Artificial Lawyer

JANUARY 3, 2023

By Jim Wagner, CEO, Lean Law Labs. As someone who has built multiple AI-powered businesses in the legal community, I know firsthand the exciting potential.

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Machine Learning Mastery

JANUARY 6, 2023

Last Updated on January 9, 2023 Softmax classifier is a type of classifier in supervised learning. It is an important building block in deep learning networks and the most popular choice among deep learning practitioners. Softmax classifier is suitable for multiclass classification, which outputs the probability for each of the classes. This tutorial will teach […] The post Building a Softmax Classifier for Images in PyTorch appeared first on MachineLearningMastery.com.

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Deep Learning 84

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 1, 2023

Introduction With the changing world, it is important for companies to transform accordingly. One of the most widely used technologies used these days is cloud computing. The adoption of cloud computing has been increasing rapidly. Either company has already adopted it or is moving towards adopting it. The advantages that cloud computing provides are immaculate. […].

Machine Learning 335

Machine Learning 335

NYU Center for Data Science

JANUARY 6, 2023

The collaborative poetry writing system CoPoet aims to improve the quality of user-generated content CDS PhD student, Vishakh Padmakumar Large language models (LLMs) have made a significant impact in the field of natural language processing (NLP) by enabling researchers to develop AI systems responsive to human goals and specific instructions. A new collaborative text generation program called CoPoet is tailored to produce content specific to poetry.

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Machine Learning Mastery

JANUARY 3, 2023

Last Updated on January 9, 2023 Transformer is a recent breakthrough in neural machine translation. Natural languages are complicated. A word in one language can be translated into multiple words in another, depending on the context. But what exactly a context is, and how you can teach the computer to understand the context was a […] The post Building Transformer Models with Attention Crash Course.

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Analytics Vidhya

JANUARY 2, 2023

Introduction Delta Lake is an open-source storage layer that brings data lakes to the world of Apache Spark. Delta Lakes provides an ACID transaction–compliant and cloud–native platform on top of cloud object stores such as Amazon S3, Microsoft Azure Storage, and Google Cloud Storage. It enables organizations to quickly and reliably build data lakes on cloud […].

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Big Data 323

Defined.ai blog

JANUARY 5, 2023

As the CEO and founder of DefinedCrowd, I couldn’t be happier with this achievement. We closed our seed round exactly one year after Amy Du and I started this company, in August 2015. It has been an incredible rollercoaster since then, with major highlights such as getting our first customers, opening the Portuguese subsidiary in Startup Lisboa, being accepted into the Microsoft Seattle Accelerator, where we learned so much (thanks to Hanan Levy, Prashant Sharma, Aya Zook and Tim Enger) and meet

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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?

Generative AI

Snorkel AI

JANUARY 5, 2023

Last month Snorkel AI highlighted how we’re deepening our partnership with Microsoft Azure AI to help enterprises and government agencies solve their most impactful problems. One example of how Snorkel AI helps organizations leverage Azure AI services for proprietary data and custom objectives is the new Snorkel Flow integration for Microsoft Azure Form Recognizer (currently in private preview).

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AI Developer AI Development ML AI 52

Machine Learning Research at Apple

JANUARY 3, 2023

This paper was accepted at the "Human in the Loop Learning Workshop" at NeurIPS 2022. Specification of reward functions for Reinforcement Learning is a challenging task which is bypassed by the framework of Preference Based Learning methods which instead learn from preference labels on trajectory queries. These methods, however, still suffer from high requirements of preference labels and often would still achieve low reward recovery.

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Analytics Vidhya

JANUARY 1, 2023

This article was published as a part of the Data Science Blogathon. convenient Introduction AWS Lambda is a serverless computing service that lets you run code in response to events while having the underlying compute resources managed for you automatically. You may use Lambda to execute code for almost any kind of application or backend […]. The post AWS Lambda: A Convenient Way to Send Emails and Analyze Logs appeared first on Analytics Vidhya.

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Data Science Python 322

Defined.ai blog

JANUARY 5, 2023

Open-source datasets are a valuable resource for developers and researchers working on conversational AI. These datasets provide large amounts of data that can be used to train machine learning models, allowing developers to create conversational AI systems that are able to understand and respond to natural language input. There are many open-source datasets available, but some of the best for conversational AI include the Cornell Movie Dialogs Corpus, the Ubuntu Dialogue Corpus, and the OpenSub

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Conversational AI Metadata AI AI 52

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

Snorkel AI

JANUARY 5, 2023

Snorkel AI will hold a free Foundation Model Virtual Summit on Tuesday, January 17 where speakers from across the technology industry, including some from Google and Stanford University, will discuss the enterprise use of Foundation Models. Registration is now open for the summit , which will begin at 9 AM Pacific Time with an optional in-person portion at Snorkel HQ in Redwood City, CA, to follow from 4 PM to 6 PM.

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Large Language Models Data Scientist AI AI 52

Machine Learning Research at Apple

JANUARY 3, 2023

State-of-the-art automatic augmentation methods (e.g., AutoAugment and RandAugment) for visual recognition tasks diversify training data using a large set of augmentation operations. The range of magnitudes of many augmentation operations (e.g., brightness and contrast) is continuous. Therefore, to make search computationally tractable, these methods use fixed and manually-defined magnitude ranges for each operation, which may lead to sub-optimal policies.

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Analytics Vidhya

JANUARY 1, 2023

Introduction What is an API? In simple terms, API is a messenger; let’s understand this with some examples. Let’s say you are hungry and you need to cook something at home. If you want to make noodles, you just take the ingredients out of the cupboard, fire up the stove, and make it yourself. This […]. The post Introduction to Amazon API Gateway using AWS Lambda appeared first on Analytics Vidhya.

Python 322

Python 322

Bugra Akyildiz

JANUARY 1, 2023

If you are reading one 100-page report this week, I recommend prioritizing this report for AI Infrastructure: It talks a lot about the landscape and provide data points on the maturity and adoption level for different parts of the AI Infrastructure stack. Articles Apple announced optimizations for CoreML for popular stable diffusion library in here.

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Large Language Models Deep Learning AI AI 52

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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

Snorkel AI

JANUARY 4, 2023

An exciting chat between Alex Ratner, co-founder and CEO, Snorkel AI, and Simran Arora, ML researcher, Stanford University, about new research from Hazy Research on how prompting methods enable a 6B parameter model to outperform the 175B parameter GPT-3. Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers.

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Prompt Engineer Prompt Engineering Large Language Models OpenAI 52

PyImageSearch

JANUARY 2, 2023

Table of Contents Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research Healthcare Efficiency Reaching Underserved Communities Applications Medical Research in Genetics and Genomics Clinical Care Medical Imaging and Radiology Pathology Dermatology Neurology Mental Health Diabetes Eye Care Challenges Regulatory Friction Non-Representative AI: Potential Bias and Misdiagnosis Effect on Patients and Healthcare Professionals Institutional Inertia Summary Consult

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Analytics Vidhya

JANUARY 5, 2023

This article was published as a part of the Data Science Blogathon. Introduction Python is a popular and influential programming language used in various applications, from web development to data wrangling and scientific computing. One of the critical reasons for Python’s popularity is the wealth of libraries and frameworks available for use, which provides a […].

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Machine Learning Mastery

DECEMBER 31, 2022

Last Updated on January 1, 2023 While a logistic regression classifier is used for binary class classification, softmax classifier is a supervised learning algorithm which is mostly used when multiple classes are involved. Softmax classifier works by assigning a probability distribution to each class. The probability distribution of the class with the highest probability is […] The post Introduction to Softmax Classifier in PyTorch appeared first on MachineLearningMastery.com.

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Algorithm Deep Learning 52

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.

databricks

JANUARY 3, 2023

Databricks Workflows is a fully-managed orchestration service that is deeply integrated with the Databricks Lakehouse Platform. Workflows is a great alternative to Airflow.

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Artificial Lawyer

JANUARY 5, 2023

Artificial Lawyer – and its founder, Richard Tromans – are on sabbatical until 2024. Aside from announcements in relation to the Legal Innovators conferences, taking.

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Analytics Vidhya

JANUARY 2, 2023

Introduction You must have noticed the personalization happening in the digital world, from personalized Youtube videos to canny ad recommendations on Instagram. While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […]. The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya.

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Data Science Python 315

Explosion

JANUARY 4, 2023

Worth noting is the existence of an application, called Prodigy, which takes advantage of an active learning framework and provides users with an interactive interface for data annotation.

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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.

Data Analysis

databricks

JANUARY 5, 2023

Geospatial data has been driving innovation for centuries, through use of maps, cartography and more recently through digital content. For example, the oldest.

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ML Data Science 52

Artificial Lawyer

JANUARY 3, 2023

This week’s Legal Innovator Profile – and the first of the year – is with Shilpa Bhandarkar, the CEO of CreateiQ, Linklaters’ proprietary contract management.

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Analytics Vidhya

DECEMBER 31, 2022

This article was published as a part of the Data Science Blogathon. Source:javaguides.net Introduction Spring Boot is an application developed on top of the Spring Framework. It makes it simpler and faster to install, set up, and execute both basic and web-based apps. The Spring module provides the Spring Framework with the RAD (Rapid Application […].

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Data Science Machine Learning 314