Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

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Data Science Connect

JULY 24, 2023

In a remarkable development for the field of Artificial Intelligence, OpenAI has introduced a groundbreaking language understanding model that promises to transform how AI systems comprehend and process human language.

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Pickl AI

APRIL 19, 2024

Summary: Embark on your journey to learn AI from scratch with a structured roadmap. Select the right learning path tailored to your goals and preferences. Engage in practical projects, seek mentorship, and join AI communities for support and guidance. The urgency to grasp AI’s intricacies is undeniable.

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Smart Data Collective

DECEMBER 1, 2022

We should expect to analyze big data in the future as businesses are looking more closely to use it to remain competitive. This post outlines five current trends in big data for 2022 and beyond. Streaming analytics is a new trend in data analysis that has been gaining popularity in the past few years.

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Data Science Connect

JULY 29, 2023

In an ambitious move to bolster crime-fighting efforts, the police in Noida, India, are harnessing the power of AI facial recognition technology. This article delves into the details of this innovative approach, its potential impact on crime prevention, and the ethical considerations surrounding the use of AI in law enforcement.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. Classify, predict, detect, translate, etc.

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Data Science Connect

JULY 23, 2023

In a groundbreaking development that has ignited debates in the world of intellectual property, an AI inventor has been granted patents for its original creations. Data scientists and legal experts are closely monitoring the implications of this landmark shift in the intellectual property landscape.

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. It is a result of a dedicated focus on the government’s strategy towards building a digital economy and society, with AI as its core component.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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AssemblyAI

MAY 14, 2024

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. Whether you're a developer, founder, or product innovator, here are 18 ways to leverage Speech AI technology to launch new products and services.

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Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

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Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI and machine learning. Top data science conferences 2023 in different regions of the world 1.

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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IBM Journey to AI blog

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education.

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Data Science Connect

JULY 25, 2023

In the rapidly evolving world of Artificial Intelligence (AI), the need for balanced and thoughtful regulation has become increasingly evident. A recent opinion piece on LiveMint explores this very topic and highlights the critical aspects that need to be considered while regulating AI technologies.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. In a change from last year, there’s also a higher demand for those with data analysis skills as well.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 Let’s talk about “Cryptonite: How I Stopped Worrying and Learned(?) (hype) PyTorch Lightning V1.2.0-

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Dataconomy

JUNE 29, 2023

Some machine learning packages focus specifically on deep learning, which is a subset of machine learning that deals with neural networks and complex, hierarchical representations of data. Let’s explore some of the best Python machine learning packages and understand their features and applications.

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Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). It is the process of deriving valuable patterns, trends, and insights from unstructured textual data. Popular open-source libraries include NLTK (Natural Language Toolkit), spaCy, Gensim, sci-kit-learn, and TensorFlow.

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Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Already a multi-billion-dollar industry, AI is having a profound impact on every aspect of life, business, and society.

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Dataconomy

JUNE 15, 2023

From its humble beginnings to the present day, AI has captivated the minds of scientists and sparked endless possibilities. In recent years, AI has become an integral part of our lives. Ever since the 1940s, artificial intelligence (AI) has been a part of our lives.

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Data Science Dojo

AUGUST 28, 2023

Large Language Model Ops also known as LLMOps isn’t just a buzzword; it’s the cornerstone of unleashing LLM potential. From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. As LLMs redefine AI capabilities, mastering LLMOps becomes your compass in this dynamic landscape.

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Pickl AI

JANUARY 3, 2024

Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum. Career Advancement: Professionals can enhance earning potential by acquiring in-demand skills like Natural Language Processing, Deep Learning, and relevant certifications aligned with industry needs.

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Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

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Smart Data Collective

JUNE 4, 2021

Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

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IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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Dataconomy

AUGUST 23, 2023

Yes, AI is already more integrated into our lives than we think. The rapid advancement of technology has given rise to one of the most groundbreaking innovations of our time: artificial intelligence (AI). As the technology of the future, AI, brings us step by step closer to a world that we once had difficulty even imagining.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

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Mlearning.ai

MAY 30, 2023

RNNs contain an internal memory that enables them to capture and use context from prior inputs, in contrast to standard feedforward neural networks, which process data strictly sequentially. Speech Recognition and Natural Language Processing RNNs are frequently used for jobs involving speech recognition.

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AssemblyAI

JANUARY 23, 2024

Large Language Models (LLMs) are revolutionizing how humans and Artificial Intelligence (AI) interact.   The field of Conversation Intelligence is especially poised to capitalize on LLMs, which can synthesize vast amounts of conversation data very quickly.

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Heartbeat

JUNE 5, 2023

Machine Learning Frameworks Comet integrates with a wide range of machine learning frameworks, making it easy for teams to track and optimize their models regardless of the framework they use. Ludwig Ludwig is a machine learning framework for building and training deep learning models without the need for writing code.

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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How to Learn Machine Learning

JANUARY 21, 2023

Keep hearing about AI? Artificial intelligence (AI) is a term that encompasses the use of computer technology to solve complex problems and mimic human decision-making. At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data.

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Dataconomy

MARCH 8, 2023

Definition of autonomous artificial intelligence Autonomous artificial intelligence is a type of AI system that can operate independently without human intervention. Unlike traditional AI systems that require human input to function, AAI systems can learn from data, make decisions, and perform tasks without any human input.

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