Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Data Science Connect

JULY 23, 2023

The automotive industry is on the brink of a technological revolution, powered by the seamless integration of the Internet of Things (IoT). This global transformation is set to redefine the future of transportation, as data-driven insights, connected vehicles, and smart infrastructure create a new era of mobility.

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Mlearning.ai

APRIL 10, 2023

Thus, this type of task is very important for exploratory data analysis. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Industrial internet of things (IIoT): opportunities, challenges, and requirements in manufacturing businesses in emerging economies. Zhao, M.

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Pickl AI

JANUARY 3, 2024

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. Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum. from 2023 to 2030.

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Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Natural Language Processing and Report Generation.

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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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Pickl AI

JULY 20, 2023

Prescriptive Analytics Projects: Prescriptive analytics takes predictive analysis a step further by recommending actions to optimize future outcomes. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data. Analyzing Large Datasets: Choose a large dataset from public sources (e.g.,

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Dataconomy

AUGUST 21, 2023

While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further. IoT devices communicate over the internet, but ambient computing takes technology beyond connectivity. Think of a smart office powered by IoT.

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Pickl AI

JULY 23, 2023

Data Processing Data processing involves cleaning, transforming, and organizing the collected data to prepare it for analysis. This step is crucial for eliminating inconsistencies and ensuring data integrity. Data Analysis Data analysis is the heart of deriving insights from the gathered information.

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Applied Data Science

JANUARY 4, 2022

Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3. Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer.

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ODSC - Open Data Science

JULY 19, 2023

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

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Pickl AI

JULY 31, 2023

AI encompasses various techniques, including machine learning, natural language processing, computer vision, robotics, expert systems, and neural networks. Machine learning, a subset of AI, plays a crucial role in training models to recognize patterns and make predictions based on large amounts of data.

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