Data Science Dojo

AUGUST 30, 2023

In the modern digital era, this particular area has evolved to give rise to a discipline known as Data Science. Data Science offers a comprehensive and systematic approach to extracting actionable insights from complex and unstructured data.

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Data Science Hypothesis Testing Machine Learning Machine Learning 195

Data Science Dojo

OCTOBER 16, 2023

“Statistics is the grammar of science”, Karl Pearson In the world of data science, there is a secret language that benefits those who understand it. Do you want to know what makes a data expert efficient? It’s having a profound understanding of the data. This is where inferential statistics comes in handy.

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Hypothesis Testing Data Visualization Data Science Clustering 366

Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Greetings, I am Mustafa Sidhpuri a Computer Science and Engineering student. The post Understanding The Concept Of Hypothesis In Data Science! appeared first on Analytics Vidhya.

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Data Science Computer Science Computer Science Analytics 241

Data Science Dojo

AUGUST 11, 2023

In contemporary times, data science has emerged as a substantial and progressively expanding domain that has an impact on virtually every sphere of human ingenuity: be it commerce, technology, healthcare, education, governance, and beyond. This piece will concentrate on the elemental constituents constituting data science.

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Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

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Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

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Data Science Python Machine Learning Machine Learning 52

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Automation Automating data pipelines and models ➡️ 6.

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Cassie Kozyrkov

NOVEMBER 30, 2022

A primer on interpreting other people’s hypothesis tests Continue reading on Towards Data Science »

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Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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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. We’ve seen great advances in machine learning, but translating those to healthcare has only found success in certain pockets.

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Hypothesis Testing Computer Science Computer Science Data Science 75

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

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Data Science Machine Learning Machine Learning Database 75

Pickl AI

JUNE 9, 2024

Summary: Mastering mathematics is crucial for excelling in Data Science. Overcoming challenges through practical applications, continuous learning, and resource utilisation is key to success. Introduction Mathematics plays a pivotal role in Data Science.

Data Science 52

Data Science Hypothesis Testing Data Scientist Machine Learning 52

Pickl AI

DECEMBER 14, 2023

Mathematics and Data Science: its role and relevance Mathematics and Data Science are discussed in the same breath. The reason behind this unbreakable bond is the role of mathematical equations in Data Science. Why Data Science? 650% growth in the data domain since 2012.

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Data Science Hypothesis Testing Machine Learning Machine Learning 52

Towards AI

MAY 12, 2023

But not only this, but you can also use it for outlier detection.Boxplot: It summarizes sample data using the 25th percentile, 50th percentile and 75th percentile. Method 4: Hypothesis Testing You can use hypothesis tests to find outliers. One can get insights about quartiles, median and outliers.‣

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Data Science Dojo

JANUARY 16, 2023

Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making. For businesses, data analytics can provide highly impactful decisions with long-term yield.

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Data Analysis Data Analysis Data Analyst Big Data 195

ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams. ODSC West Talks Ask the Experts!

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Data Science Data Wrangling Machine Learning Machine Learning 98

Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Towards AI

AUGUST 23, 2024

Approach LLMs as you would any other machine learning development — make the necessary adjustments, and you’re already halfway there. Below, I outline best practices for LLM development, aimed at helping data scientists and machine learning practitioners leverage this powerful technology for their needs.

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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. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Summary: Discover the best Data Science books for beginners that simplify Python, statistics, and Machine Learning concepts. Paired with structured learning plans and online communities, they help build foundational skills and confidence for a successful journey into Data Science.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

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Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JUNE 19, 2024

Summary: Confused about Data Science course requirements? Learn how to assess courses and prepare for enrollment to launch your Data Science journey. The world runs on data. From targeted advertising to personalized healthcare, Data Science is revolutionizing every industry.

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

Pickl AI

DECEMBER 4, 2024

Summary: Data Science appears challenging due to its complexity, encompassing statistics, programming, and domain knowledge. However, aspiring data scientists can overcome obstacles through continuous learning, hands-on practice, and mentorship. However, many aspiring professionals wonder: Is Data Science hard?

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Pickl AI

MARCH 20, 2024

Whether you’re an aspiring professional or looking to transition into this dynamic field, understanding the essential skills required can pave the way for a successful career in Data Science. To embark on a successful journey in the realm of Data Science, mastering key skills is imperative.

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Data Science Data Scientist Data Wrangling Machine Learning 52

Pickl AI

JULY 10, 2023

What is R in Data Science? As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. How is R Used in Data Science? R is a popular programming language and environment widely used in the field of data science.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Dataconomy

MAY 2, 2023

What do machine learning engineers do? They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. What do machine learning engineers do? Does a machine learning engineer do coding? They build the future.

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ML ML Machine Learning Machine Learning 110

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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Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

OCTOBER 14, 2024

Summary: A Masters in Data Science in India prepares students for exciting careers in a growing field. Introduction In today’s data-driven world, Data Science is crucial across industries, transforming raw data into actionable insights. Why Pursue a Master’s in Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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. billion by 2031, growing at a CAGR of 34.20%.

Machine Learning 52

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Pickl AI

NOVEMBER 27, 2024

Summary : Combining Python and R enriches Data Science workflows by leveraging Python’s Machine Learning and data handling capabilities alongside R’s statistical analysis and visualisation strengths. Python’s key libraries make data manipulation and Machine Learning workflows seamless.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Towards AI

MAY 14, 2024

Created by the author with DALL E-3 Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep learning, artificial intelligence and machine learning dominating the conversation when it comes to technology-related topics.

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Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

MAY 1, 2023

Statistics Fundamentals for Data Science — Part1 Statistics is a crucial aspect of data science and provides the tools and techniques to analyze and interpret the data. It is the science of collecting, organizing, and analyzing the data. We can use Histograms, Pie Charts, Bar Plots, etc. for the same.

Data Science 52

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Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. Understanding their life cycles is critical to unlocking their potential.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Data Science Dojo

APRIL 18, 2023

First, the amount of data available to organizations has grown exponentially in recent years, creating a need for professionals who can make sense of it. Second, advancements in technology, such as big data and machine learning, have made it easier and more efficient to analyze data.

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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]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

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