Data Science Learnings

What is Hypothesis Testing? Statistics is all about data. That huge amount of data will only be useful if we are going to analyze it or take out conclusions from it. To find out such important interpretations or conclusions we use hypothesis testing. Statistics Statistical Hypothesis testing is to test the assumption (hypothesis) made and draw a conclusion about the population. This is done by testing the sample representing the whole population and based on the results obtained; the hypothesis is either rejected or accepted. Pre-requisites: DSL | E1 Statistics Steps in Hypothesis Testing The three major steps are: Making an initial assumption. We will take the initial assumption as the null hypothesis, H0. Example: We want to know whether the defendant is guilty or innocent. Thus, we take H0 as Defendant not guilty. Collecting the data. This data will not only be the data but the shreds of evidence as well. Example: Fingerprints, DNA, etc. Gathering evidence to reject/accept the hypot

Introduction Statistics is one of the popularly regarded disciplines this is particularly centered on records collection, records organization, records analysis, records interpretation and records visualization. Earlier, facts become practiced through statisticians, economists, enterprise proprietors to calculate and constitute applicable records of their field. Nowadays, facts have taken a pivotal position in diverse fields like records technology, system learning, records analyst position, enterprise intelligence analyst position, pc technology position, and plenty more. Statistics is a type of mathematical analysis that uses quantified models and representations to analyze a set of experimental data or real-world research. The fundamental benefit of statistics is that information is provided in an easy-to-understand style. Statistical & Non-Statistical Analysis Statistical analysis is used to better understand a wider population by analyzing data from a sample. Statistical analy

  Hello readers, I am elated to share that my paper entitled " A Comparative Review of CPU Scheduling Algorithms " has been published in the International Journal of Scientific Research and Engineering Trends (IJSRET) .  About IJSRET: International Journal of Scientific Research and Engineering Trends (IJSRET) is an electronic journal for the new era of scholars. international journals with low publication charges for scholarly research, hypothesis, and survey in the field of Basic Science, Core Engineering, Technology as well. IJSRET is a fast-track publication in International journals Or rapid publishing journals with an impact factor of more than 3. Here papers submitted by the authors are reviewed by our expert reviewers of the respected research areas. Each submitted article accepts under the following conditions: should be plagiarism-free, content can clearly explain its concept, increase the light of research in that field,  follow reviewer comments and journal templa

  So you've seen some incredible GPT-3 demos on Twitter (if you haven't, where have you been?). OpenAI's massive machine learning model is capable of writing its own op-eds, poetry, essays, and even working code: This is mind blowing. With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you. W H A T pic.twitter.com/w8JkrZO4lk — Sharif Shameem (@sharifshameem) July 13, 2020 Here's #gpt3 writing some SQL for me. pic.twitter.com/JVeyijV2MX — Ayush Patel (@ayushpatel34) July 19, 2020 =GPT3()... the spreadsheet function to rule them all. Impressed with how well it pattern matches from a few examples. The same function looked up state populations, peoples' twitter usernames and employers, and did some math. pic.twitter.com/W8FgVAov2f — 🍉 Paul Katsen (@pavtalk) July 21, 2020 To use GPT-3 right now, you must first seek to be whitelisted by OpenAI. However, the model's possibilities seemed to be li