Algorithm, Computer Science and Hypothesis Testing

Algorithm

Computer Science

Hypothesis Testing

Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

AUGUST 11, 2023

They can be used to test hypotheses, estimate parameters, and make predictions. Machine learning is a field of computer science that uses statistical techniques to build models from data. Some of the most popular Python libraries for data science include: NumPy is a library for numerical computation.

Data Science

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Meet the Fellow: Aahlad Puli

NYU Center for Data Science

AUGUST 29, 2024

Puli recently finished his PhD in Computer Science at NYU’s Courant Institute, advised by CDS Assistant Professor of Computer Science and Data Science Rajesh Ranganath. Standard algorithms aren’t designed for this scenario. Puli earned his MS in Computer Science from NYU in 2017.

Hypothesis Testing

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How to Achieve High-Accuracy Results When Using LLMs

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Trending Sources

The innovators behind intelligent machines: A look at ML engineers

Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They are the driving force behind the artificial intelligence revolution, creating new opportunities and possibilities that were once the stuff of science fiction. They build the future.

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How to Achieve High-Accuracy Results When Using LLMs

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

Data Science

Data Science Machine Learning Machine Learning Data Visualization

Roadmap to Become a Data Scientist: Do’s and Don’ts

Pickl AI

AUGUST 21, 2023

Key Takeaways: Data Science is a multidisciplinary field bridging statistics, mathematics, and computer science to extract insights from data. Understanding Data Science: Bridging the Gap Between Data and Insight It is the art of extracting meaningful insights from complex data sets. Practical experience is crucial.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

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.

Data Engineering

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Data Science Course Eligibility: Your Gateway to a Lucrative Career

Pickl AI

JUNE 19, 2024

Here are some of the most common backgrounds that prepare you well: Mathematics and Statistics These disciplines provide a rock-solid understanding of data analysis, probability theory, statistical modelling, and hypothesis testing – all essential tools for extracting meaning from data.

Data Science

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How Data Science and AI is Changing the Future

Pickl AI

NOVEMBER 5, 2024

What is Data Science and Artificial Intelligence? Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Bias in Algorithms Machine Learning models can inadvertently perpetuate biases present in training data.

Data Science

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Skills Required for Data Scientist: Your Ultimate Success Roadmap

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. These skills encompass proficiency in programming languages, data manipulation, and applying Machine Learning Algorithms , all essential for extracting meaningful insights and making data-driven decisions.

Data Scientist

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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

Data Analysis

Data Analysis Data Analysis Data Science Exploratory Data Analysis

How to become a Statistician without a Degree?

Pickl AI

SEPTEMBER 4, 2023

Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. This includes hypothesis testing , regression analysis, experimental design, and probability distributions.

Data Analysis

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Why and How can you do a Masters in Data Science in India?

Pickl AI

OCTOBER 14, 2024

Eligibility Criteria To qualify for a Master’s in Data Science, candidates typically need a bachelor’s degree in a related field, such as computer science, statistics, mathematics, or engineering. Machine Learning Engineer Machine Learning Engineers develop algorithms that enable computers to learn from data.

Data Science

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Basic Data Science Terms Familiarity with key concepts also fosters confidence when presenting findings to stakeholders. Below is an alphabetical list of essential Data Science terms that every Data Analyst should know. A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science helps organisations make informed decisions by transforming raw data into valuable information.

Artificial Intelligence

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Data Science Current

Unlocking data science 101: The essential elements of statistics, Python, models, and more

Meet the Fellow: Aahlad Puli

Webinars

Trending Sources

The innovators behind intelligent machines: A look at ML engineers

Webinars

A Guide to Choose the Best Data Science Bootcamp

Roadmap to Become a Data Scientist: Do’s and Don’ts

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Data Science Course Eligibility: Your Gateway to a Lucrative Career

How Data Science and AI is Changing the Future

Skills Required for Data Scientist: Your Ultimate Success Roadmap

Understanding Data Science and Data Analysis Life Cycle

How to become a Statistician without a Degree?

Why and How can you do a Masters in Data Science in India?

Basic Data Science Terms Every Data Analyst Should Know

Understanding the Synergy Between Artificial Intelligence & Data Science

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