Towards AI

JANUARY 10, 2024

How, the thing that we call Machine Learning, is different from today’s talk of the town, Generative AI? I will start with my understanding of two approaches to Machine Learning. Data Orientation vs. Task Orientation How were we doing machine learning almost a year ago? In fact, even today.

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Machine Learning Machine Learning Exploratory Data Analysis Supervised Learning 111

Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

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ODSC - Open Data Science

AUGUST 9, 2023

In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts! At this point, our dataset is ready for machine learning tasks!

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Machine Learning Machine Learning AWS Big Data 52

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI.

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Exploratory Data Analysis AI AI Machine Learning 81

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

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Data Science Machine Learning Machine Learning Database 75

Pickl AI

FEBRUARY 12, 2024

Data Science skills that will help you excel professionally. Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

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Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Pickl AI

FEBRUARY 22, 2024

Programs like Pickl.AI’s Data Science Job Guarantee Course promise data expertise including statistics, Power BI , Machine Learning and guarantee job placement upon completion. It emphasises probabilistic modeling and Statistical inference for analysing big data and extracting information.

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Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

JANUARY 12, 2023

Data Science and Machine Learning Bootcamp by Udemy Working professionals can also benefit from the Data Science and Machine Learning Bootcamp by Udemy. Data Science and Machine Learning by Udacity Yet another course that is perfect for working professionals is by Udacity.

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Pickl AI

APRIL 10, 2023

Data Science Course If you are looking for one of the best Data Science courses in India on an online forum, then Pickl.AI It offers an immersive learning experience that is a blend of conceptual and practical expertise. All in all, by completing the course, you will be a master of all the key Data Science tools and techniques.

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