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Statistics
Statistics Basic concepts in statistics for machine learning. References [1] Example
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Statistics
VaR stands for Value-at-Risk. It’s a hugely important component of any form of trade because it is a straightforward method to quantify the risk of a single asset or entire portfolio at any point in…
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Statistics Revisited
Here, I will try my best to break down statistical concepts into various ways that can be easily understood, at the same time serve as summary notes during my journey of learning. Many a times we…
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Statistics — 102
Here is yet another story on Statistics and this time it is on Probability and several distributions which are helpful in the data analysis. If you’d like to refresh your memory on Measures of…
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Statistics
Undoubtedly, to be a top deep learning practitioner, the ability to train the state-of-the-art and high accurate models is crucial. However, it is often unclear when improvements are significant, or o...
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Statistics Bootcamp 5: What is Normal?
Learn the math and methods behind the libraries you use daily as a data scientist Continue reading on Towards Data Science
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Statistics — 101
I have come up with yet another story, and this time it is the basics that we require in any data analysis problem, Statistics. It is a collection of methods for performing experiments in obtaining…
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Statistics
Statistics is the science that is concerned with methods for collecting, organizing, analyzing, and interpreting data . Data refers to any collection of facts, such as numbers, words, measurements, or...
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Statistics — Finding an Average -When to Mean and Median
Data science is the process of making some assumption and taking decisions, For taking such decisions, Statistics are playing a crucial role. From the Statistics, We can understand something called…
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Statistics (
Statistics ( scipy.stats ) Introduction In this tutorial, we discuss many, but certainly not all, features of scipy.stats . The intention here is to provide a user with a working knowledge of this pac...
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Statistics In Data Science
Maths is probably one of the most important topics that are the core of almost all the advances in technology. The filed of data science wouldn’t have existed without maths. All the subfields in data…...
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Descriptive Statistics
Statistics is main contributor to multiple scientific research and analysis. Statistics uses quantitative knowledge to the create data collection schemes, process the data, analyze the data, and…
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Statistical Distributions
The normal distribution is the most important probability distribution in statistics because it fits many natural phenomena. In this article we will cover some distributions that I have found useful…
Read more at Becoming Human: Artificial Intelligence Magazine
Statistics 2.
I am gonna emphasize the KEY POINTS of Hypothesis and other tests(One-Sample T-TEST, One-Sample Z-test, One –Way ANOVA, Chi-square Goodness of Fit Test) Hypothesis testing refers to the formal…
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Statistics Bootcamp 4: Bayes, Coins, Fish, Goats, and Cars
Learn the math and methods behind the libraries you use daily as a data scientist Continue reading on Towards Data Science
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Statistics Bootcamp 6: Building Our Confidence
Learn the math and methods behind the libraries you use daily as a data scientist Continue reading on Towards Data Science
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Basic Statistics: A BrushUp
If you are like me, you’ve taken a stats course, most of us have. Often, taking a class does not signify mastery more than skilled retention, however. With this article, I hope to reintroduce some to…...
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July Edition: Zooming In on Statistics
From beginner-friendly guides to deep dives on advanced topics Photo by Ozgu Ozden on Unsplash With a constant flow of new data tools, AI research, and product releases, it’s always tempting to keep ...
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Making Statistics Normal Again — Part I
I’m starting this new series for people who are filled with dread by the prospect of studying statistics. Be it the Greek symbols that aren’t even half as pretty as their Gods, the mathematical…
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Frequent Questions Related to Statistics: Part I
Statistics is an undeniable basic foundation for any analysis related to data irrespective of any field like Data Science, Data Analytics, Forecasting , Time Series Analysis. Statistics is a vast…
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Why statistics are both powerful and dangerous
Photo by LiteHaving dinner with a friend last night, one of the topics that came up was our shared obsession with statistics. It reminded me how looking at the wrong numbers has tripped me up. As an o...
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Statistics Bootcamp 3: Probably… Probability
Learn the math and methods behind the libraries you use daily as a data scientist Continue reading on Towards Data Science
Read more at Towards Data Science
Statistics for Data Science
In this hyper-connected world, data is being consumed and generated at an unparalleled pace. Despite the fact that we enjoy this superconductivity of data, it brings forth abuse as well. Data professi...
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Statistics for Data Scientists
The goal of the researcher is not to draw conclusions about the sample but to draw conclusions about the population from the provided sample. Thus researchers must use statistics on the sample to…
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