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Let’s talk about estimation.
I struggled a lot with estimations in my two years as a developer. And I’m not the only one, most of my coworkers struggle with this too. I think it’s because nobody teaches you how to estimate when…
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Estimate Smarter, not Harder
One of the most difficult (and paradoxically time-consuming aspects) of a software developer’s job is estimation. When developers make estimates about their work it can affect the success of the…
Read more at Better Programming
Chapter 8 Estimation
The code for this chapter is in estimation.py . For information about downloading and working with this code, see Section 0.2 . 8.1 The estimation game Let’s play a game. I think of a distribution, an...
Read more at Think Stats
Performing Statistical Estimation
Statistics, as we know, is the study of gathering data, summarizing & visualizing the data, identifying patterns, differences, limitations and inconsistencies and extrapolating information regarding…
Read more at Towards Data Science
What’s Wrong With Your Estimates
If you often fail your estimates — this is how to estimate the tasks quickly and accurately. Photo by Headway on Unsplash Every more or less significant project has its stakeholders. And the stakehol...
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Estimates Are Estimates!
A lesson learned as a Scrum coach Continue reading on Better Programming
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How to Make Better Estimates?
Estimation provides business value. Accuracy in estimation can lead to better budgeting. You can estimate the cost of work, schedule releases with ease, and correct project planning. Software…
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How to Get Better with Estimations
Estimations are hard. Every developer struggles with that task. The reason for that is simple: developers are asked to estimate something that they never did before. Unless it is an agency that makes…...
Read more at Towards Data Science
Estimation, Prediction and Forecasting
Estimation implies finding the optimal parameter using historical data whereas prediction uses the data to compute the random value of the unseen data. Estimation is the process of optimizing the…
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Estimators
Advantages Similar to a tf.keras.Model , an estimator is a model-level abstraction. The tf.estimator provides some capabilities currently still under development for tf.keras . These are: Parameter se...
Read more at TensorFlow Guide
Agile Estimation: part II
In my previous notebook I proposed to use Poisson distribution for estimating the number of story points per iteration, i.e. project velocity. It is a fairly simple distribution, which has one…
Read more at Towards Data Science
Plain and Simple Estimators
Machine learning is awesome, except when it forces you to do advanced math. The tools for machine learning have gotten dramatically better, and training your own model has never been easier. We’ll…
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Demystifying Estimation: The Basics
Know more about the population Photo by Roman Mager on Unsplash Table of Content 1. Introduction 2. Normal Distribution 3. Central Limit Theorem 4. Need to understand the basics? 5. Conclusion Introd...
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Relative Estimation is a Waste of Time
Relative Estimation is a complete waste of time, and not only a waste of time it is actually damaging to agile and software delivery. The following analysis is based upon work by many leading agile…
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The Truth About Why Software Estimation Actually Matters
How to think about the impact of estimation on our product’s quality rather than deadlines Photo by Andrew Seaman on Unsplash Software estimation is generally considered a necessary evil to identify ...
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The Beginner’s Guide to Software Estimation
I was brought into a room with my boss, boss’s boss, and my boss’s boss’s boss, and we all sat at a round table looking at each other. A couple of analysts starting reading some requirements from a…
Read more at Better Programming
Demystifying Estimation: The Basics
Know more about the population Table of Content 1. Introduction 2. Normal Distribution 3. Central Limit Theorem 4. Need of understanding the basics?? 5. Conclusion Introduction Statistics is an impor...
Read more at Towards AI
Estimating the Value of your Data
Dr. David R. Hardoon is a Visiting Faculty at Sim Kee Boon Institute for Financial Economics, Singapore Management University and previously the Chief Data Officer at the Monetary Authority of…
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Maximum Likelihood Estimation
The main goal of statistical inference is learning from data. However, data we want to learn from are not always available/easy to handle. Imagine we want to know the average income of American…
Read more at Analytics Vidhya
Why Estimates Are Waste
Software development is unpredictable but people waste hours every week trying to guess how long tasks will take. Estimation can provide confidence in future changes, but this doesn’t apply to…
Read more at Level Up Coding
How To Make Precise Estimates in Software Development
Story points are not the answer, and to be honest, I think story points are mostly useless. Continue reading on Better Programming
Read more at Better Programming
A primer on statistical estimation and inference
A Primer on Statistical Estimation and Inference The law of large numbers and sound statistical reasoning are the foundation for effective statistical inference in data science Photo by Gabriel Ghnas...
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The Consistent Estimator
A consistent estimator is one which produces a better and better estimate of whatever it is that it’s estimating, as the size of the data sample it is working upon goes on increasing.
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Statistical inference through confidence interval estimation
Sampling, Sampling Error, Non-sampling Error, Estimation, Confidence Interval, Standard Error
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