Towards AI

JULY 15, 2023

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. In this blog, I delve into the fascinating intersection of Benford’s Law and machine learning, exploring how this mathematical principle can be employed alongside advanced algorithms to expose and combat the presence of fake Twitter followers.

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Ocean Protocol

JANUARY 23, 2024

After a year of hypothesis testing, research sprints and over 20 different data challenges, hackathons, and data science experimentation: the top 10 data challenge participants, ranked by leaderboard points have emerged victorious. We are excited to announce the winners of our 2023 Data Challenge Championship and end-of-season rewards!

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Pickl AI

JUNE 9, 2024

As I thought about explaining the topic further, I suddenly remembered the words of renowned mathematician Bertrand Russell, who aptly said, ‘Mathematics, rightly viewed, possesses not only truth but supreme beauty’ This blog aims to familiarise you with the profound significance of understanding and applying mathematics in Data Science.

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Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. The global Machine Learning market was valued at USD 35.80

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Pickl AI

APRIL 16, 2025

Summary: In Machine Learning, a hypothesis represents a candidate model mapping inputs to outputs. It guides algorithms in testing assumptions, optimizing parameters, and minimizing errors. At the heart of this process lies the concept of hypothesis, which acts as the foundation for building predictive models.

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Becoming Human

MAY 15, 2023

In Inferential Statistics, you can learn P-Value , T-Value , Hypothesis Testing , and A/B Testing , which will help you to understand your data in the form of mathematics. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

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Ocean Protocol

JANUARY 25, 2024

Introduction This blog introduces the kickoff of the 2024 Ocean Protocol Data Challenge Championship. Additional details about the 2023 Season can be found in this blog post. 2022 & 2023 data challenges tested different time durations between 7–30 days. Are you the top Data Scientist in the land?

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Pickl AI

JUNE 19, 2024

This blog post will be your one-stop guide, delving into the Data Science course eligibility and other essential requirements, technical skills, and non-technical qualities sought after in aspiring Data Scientists. It’s no surprise, then, that Data Science courses are in high demand.

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Pickl AI

MAY 29, 2024

This blog provides a comprehensive roadmap for aspiring Data Scientists, highlighting the essential skills required to succeed in this constantly changing field. By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals.

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Pickl AI

JULY 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. These packages extend the functionality of R by providing additional functions, algorithms, datasets, and visualizations.

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Pickl AI

APRIL 19, 2024

This blog delves into the essence of learning AI from scratch, unravelling its significance in today’s dynamic landscape of innovation and opportunity. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

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Pickl AI

OCTOBER 15, 2024

This blog aims to explain what Statistical Modeling is, highlight its key components, and explore its applications across various sectors. Statistical Modeling uses mathematical frameworks to represent real-world data and make predictions, analyse relationships, or test hypotheses. What is Statistical Modeling?

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Pickl AI

AUGUST 21, 2023

Software engineering concepts facilitate efficient data manipulation, enabling you to design algorithms, create visualizations, and build machine learning models. Concepts like probability, hypothesis testing, and regression analysis empower you to extract meaningful insights and draw accurate conclusions from data.

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The MLOps Blog

MAY 31, 2023

From an algorithmic perspective, Learning To Rank (LeToR) and Elastic Search are some of the most popular algorithms used to build a Seach system. We can collect and use user-product historical interaction data to train recommendation system algorithms. are some examples. Let’s understand this with an example.

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Pickl AI

SEPTEMBER 4, 2023

Her experience and knowledge in the field needs to be known and this blog, will help you to understand how to become a Statistician. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms.

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Pickl AI

AUGUST 27, 2024

This blog will delve into the reasons why Python is essential for Data Analysis, highlighting its key features, libraries, and applications. Statsmodels Allows users to explore data, estimate statistical models, and perform statistical tests. It is particularly useful for regression analysis and hypothesis testing.

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Pickl AI

AUGUST 9, 2024

This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics.

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Pickl AI

DECEMBER 4, 2024

In this blog, we will explore what makes Data Science seem hard, break down its components, discuss common challenges, compare it to other fields, provide tips for overcoming obstacles, and highlight the rewards of mastering Data Science. Machine Learning Understanding Machine Learning algorithms is essential for predictive analytics.

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Pickl AI

APRIL 28, 2023

If you, too, are looking to make a career as a data professional, this blog will take you through some of the best-paying cities for Data Scientists. The hockey stick growth of Data Scientist salary in India is one of the contributing reasons to make it the most preferred career choice. Let’s unveil the answer in the next segment.

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Pickl AI

MAY 31, 2023

Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. To obtain practical expertise, run the algorithms on datasets.

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Pickl AI

AUGUST 29, 2023

Focusing on the various statistical models in R with examples, the following blog will help you learn in detail about these techniques and enhance your knowledge. The algorithm iteratively assigns data points to clusters and updates cluster centroids until convergence. What is Statistical Modeling?

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Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. They possess a deep understanding of statistical methods, programming languages, and machine learning algorithms. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Pickl AI

JULY 23, 2023

In this blog, we will delve into four key types of analytics – Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics. It requires sophisticated tools and algorithms to derive meaningful patterns and trends from the sheer magnitude of data.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Finance In finance, Data Science is critical in fraud detection, risk management, and algorithmic trading.

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Alation

OCTOBER 12, 2022

This blog post will break down how to use quantitative and qualitative data, as well as some common methods for analyzing the data to uncover quality insights. Hypothesis testing is one type of inferential statistics that is used to ask a question and test the answers. It leverages algorithms to analyze textual data.

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Pickl AI

OCTOBER 14, 2024

This blog aims to explore the reasons behind the growing popularity of Master’s programs, outline the admission process, and highlight the career opportunities available for graduates. Data Mining: This subject focuses on extracting useful information from large datasets using algorithms and statistical methods.

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Pickl AI

JULY 28, 2023

This blog is a small guide that will help you build your entry-level Data Analyst portfolio effectively. Methodology: Explain the techniques, algorithms, or statistical methods you applied during the analysis. How to build a Data Analyst Portfolio? Results: Present the insights and conclusions you derived from the analysis.

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Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. Some algorithms that have low bias are Decision Trees, SVM, etc. It further performs badly on the test data set.

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DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

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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. Then, I would explore forecasting models such as ARIMA, exponential smoothing, or machine learning algorithms like random forests or gradient boosting to predict future sales.

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