Learn to calculate regression equations and perform hypothesis tests with The Manga Guide to Regression Analysis.
You also learn: simple, multiple, and logistic regression to predict iced tea orders and bakery revenues, and calculate confidence intervals and odds ratios.
๐ง Introduces you to the tools of data analysis like graphs, charts, and tables, and exploring how to use samples to answer questions.
๐ก Plus, the author covers common data collection problems like selection bias and measurement error and how to deal with them effectively.
Naked statistics is a classic and bound to be on any and every list of statistics books.
It's a great read with a number of real world case studies.
๐คThe Signal And The Noise breaks it down: sometimes we get overwhelmed by masses of data and forget to be cautious and diligent in finding the important signals.
๐ง๐กHow to Measure Anything teaches you how to make smart decisions using applied logic and behavioral economics.
๐คฏ Discover how misframing what needs to be measured and misperception of measurement elements can lead to mismeasurement and perceptions of the immeasurable.
You won't believe the history behind Bayes' rule: discoverd in 1740s by amateur mathematician to solving WWII codebreaking and now used in DNA decoding and Homeland Security.
๐๐ป The Theory That Would Not Die explores the controversy and obsessions surrounding this theorem. ๐ฅ
How Not To Be Wrong will help you make better decisions, navigate life effortlessly, and assess risks like a pro.
๐ช๐ฝ Here are 3 key lessons to get you started:
1) Math is mostly common sense. 2) Probability โ risk. 3) Scientific research findings can be wrong.
๐ค
๐ค "The Success Equation" helps untangle the intricate strands of skill and luck in our lives and offers concrete tips on how to use this knowledge to make better decisions.
๐ช๐ฝ Don't miss out on this must-read for anyone looking to succeed in business and life.
๐ฒ "Thinking in Bets" shows you how to objectively evaluate your beliefs, work around biases, and learn from the past.
๐ช๐ฝ Every decision is a bet, and this guide will help you navigate the quantifiable risks and come out on top.
๐ฅ๐ค Fooled by Randomness uncovers the role of chance in business and investing, and how it influences our actions, decisions, and risk-taking.
๐คฏ Get a fresh perspective on the role of uncertainty in our world. ๐
Skip connections are a common feature in modern CNN architectures. They create an alternative path for the gradient to flow through, which can help the model learn faster.
In a neural network, the gradient measures how much a change in one part of the network affects the output. We use the gradient to update the network during training to recognize data patterns better.
Here's the lowdown: the output of a neural network is calculated with the ๐๐ฝ weights ๐๐ฝ of the edges that connect the nodes in the network.
So, you gotta find the optimal values of weights to minimize the final error on training data examples.
1๏ธโฃ We start by assigning random values to all weights in the network
2๏ธโฃ Then, for every input sample, we perform a feedforward operation to calculate the final output and the prediction error.