Flipboard

AUGUST 24, 2023

We're about to dive into a revolution that's poised to rev up the business world faster than a turbocharged Formula 1 race car engine. Artificial intelligence is rewriting business process playbooks. Here's how to stay current. We're diving headfirst into the A.I. business process …

Artificial Intelligence 117

Artificial Intelligence Artificial Intelligence Computer Science Computer Science 117

FlowingData

MAY 9, 2022

The rules around a car’s aerodynamics for Formula 1 racing changed a lot this year, which means new challenges and big shifts in team rankings. Tags: car , Formula 1 , New York Times. Josh Katz and Jeremy White, for The New York Times, illustrated the changes and how modifications affect a car’s performance.

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Dataconomy

MARCH 6, 2024

With its new 1-bit LLM technology, Microsoft may have just cracked the code for creating powerful AI behind chatbots and language tools that can fit in your pocket, run lightning fast, and help save the planet. With a 1-bit LLM, each weight can only take on one of three values: -1, 0, or 1.

AI 121

AI AI Algorithm Machine Learning 121

Flipboard

JULY 17, 2023

It includes a standardized prompt formula for architects, examples of how the formula can be used for real-world applications, and additional tips for getting the most out of Chat GPT. Without further ado, check out the sheet below… Here are three quick tips to make the most out of this sheet: 1.

AI 123

AI AI 123

DataRobot Blog

MAY 3, 2022

As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The key for Formula 1 teams is keeping their tyres in the right operating window to maximize performance. I love working with McLaren because I have a passion for Formula 1. mile (5.41

Data Scientist 105

Data Scientist Machine Learning Machine Learning AI 105

DataRobot Blog

JUNE 1, 2022

financial services and healthcare leaders, and the McLaren Formula 1 Team. Behind-the-Scenes Details from the McLaren Formula 1 Team. Formula 1 is the fastest growing sport in America and has been popular around the world for decades. Explore nine great reasons to join DataRobot AIX 2022.

Data Scientist 119

Data Scientist AI AI Machine Learning 119

Mlearning.ai

JULY 20, 2023

Formula: Accuracy = (Number of correctly predicted instances) / (Total number of instances) 2. Formula: Precision = (Number of true positives) / (Number of true positives + Number of false positives) 3. Formula: Recall = (Number of true positives) / (Number of true positives + Number of false negatives) 4.

Clustering 40

Clustering Machine Learning Machine Learning Algorithm 40

FlowingData

MAY 9, 2022

Tags: Formula 1 , Joey Cherdarchuk , race.

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Data Science Dojo

FEBRUARY 14, 2024

Min-Max Scaler The most commonly used normalization technique is min-max scaling, which transforms the features to a specific range, typically between 0 and 1. It involves subtracting the minimum value and dividing by the range of the feature using this formula. Where, X i is the value we want to normalize.

K-nearest Neighbors 244

K-nearest Neighbors Support Vector Machines Machine Learning Machine Learning 244

DataRobot Blog

MARCH 25, 2022

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Throughout the season, a vast amount of data is created by a Formula 1 race team, and it takes a team of people to transform it into insights and decisions for McLaren.

Artificial Intelligence 145

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 145

Towards AI

JULY 19, 2023

Formalizing the LCS solution Here’s a refresher on the 3-step dynamic programming solution to LCS: Initialization (create an m × n matrix, where m and n are the lengths of sequence 1 and sequences 2). Fill out the matrix according to the recurrence formula given below. Traceback to find the LCS as well as its length.

Algorithm 86

Algorithm Computer Science Computer Science Python 86

Pickl AI

MARCH 18, 2024

Learn to collect, format, and analyze data using effective formulas and PivotTables. Step 1: Gather Your Data The foundation of any good MIS report lies in accurate and relevant data. Utilize Excel’s built-in cleaning tools or formulas like VLOOKUP and IFERROR to streamline this process. MIS Report in Excel?

Data Wrangling 52

Data Wrangling Data Analysis Data Analysis Data Visualization 52

Mlearning.ai

AUGUST 20, 2023

ROUGE-N N indicates the number of N grams which can be 1 and 2. For ROUGE-1 it is the number of words. Precision = 3/3 = 1 Rouge_1= 2*Recall*Precision/(Recall+Precision)= 2*(0.6)*(1)/((0.6)+1) Rouge1 score for candidate 1 is 0.75 Precision = 4/4 = 1 Rouge_1 = 2*0.66*1/(1+0.66) Recall = 1/4 = 0.25

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Smart Data Collective

JUNE 24, 2022

The Formula for Fibonacci Retracement Levels. The Fibonacci retracement levels are based on a mathematical formula to calculate the Fibonacci numbers. The formula is as follows: Fn = Fn-1 + Fn-2. Fn-1 = the previous Fibonacci number. The first two Fibonacci numbers are 0 and 1, so the formula starts with: F0 = 0.

Analytics 98

Analytics Analytics Big Data Big Data 98

Mlearning.ai

JULY 20, 2023

In this article, we will explore the key concepts of hypothesis testing, delve into the formulas involved, and examine some commonly used tests. The Hypothesis Testing Process 1. The test statistic (χ²) is calculated using the formula: χ² = Σ((O — E)² / E) where O is the observed frequency, and E is the expected frequency.

Hypothesis Testing 52

Hypothesis Testing ML ML Data Science 52

Towards AI

JULY 17, 2023

This story is: Cost functions in C++ Check other stories: 0 — Fundamentals of deep learning programming in Modern C++ 1 — Coding 2D convolutions in C++ 3 — Implementing Gradient Descent 4 — Activation Functions … more to come. The problem often is: how to know the F() formula? The answer is: we know H(X). results inY = 2.0.

Deep Learning 65

Deep Learning Deep Learning Machine Learning Machine Learning 65

Towards AI

MAY 31, 2023

You can start from k = 1 and increase the value. Image by author The formula is calculated as follows, Image by author Manhattan Manhattan distance, also known as taxicab distance, is a measure of the distance between two points. But there are some methods to find the best and optimal k value: Split the dataset as training and testing.

K-nearest Neighbors 83

K-nearest Neighbors Algorithm Python AI 83

Data Science Dojo

JULY 25, 2023

Regularization Type Regularization Term Formula L1 (Lasso) L1 Norm (text{L1 Regularization Term} = alpha sum_{i=1}^{n} L2 (Ridge) L2 Norm L2 Regularization Term = α ∑ i = 1 n ​ w i 2 ​ 1.

Machine Learning 195

Machine Learning Machine Learning Python Data Science 195

Towards AI

FEBRUARY 2, 2024

data=[(1,'mahi', 100),(2,'mahendra', 200),(3,'harish',300),(4,'desh',400)]schema=['id', 'name', 'salary']#create a data framedf=spark.createDataFrame(data,schema)df.head()df.show()display(df) Image designed by author Kamireddy Mahendra. a = Window().orderBy('id')cumulative_sum

Data Engineering 93

Data Engineering Data Engineer Data Engineering Data Engineering 93

Towards AI

JULY 18, 2023

Therefore, n=4991–1=4990 and I will be using the Adj Close data from 2002–05–23 to 2022–03–17. The ACF and PACF plot of LogNetflix is as follows: Image by Author The ACF plot of LogNetflix indicates a hanging behavior and the PACF plot of LogNetflix cuts off after lag 1, so LogNetflix is non-stationary. We know N = n–d = 4990–1 = 4989.

AI 87

AI AI Machine Learning Machine Learning 87

Heartbeat

FEBRUARY 21, 2024

Formula: MSE = (1/n) * Σ(actual — predicted)² Binary Cross-Entropy Loss (Log Loss): Used for binary classification problems. Formula: BCE = -Σ(y * log(p) + (1 — y) * log(1 — p)), where y is the true label, and p is the predicted probability. The formula varies depending on the specific variant.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Mlearning.ai

FEBRUARY 11, 2023

The two hypotheses are: Figure 1: Null hypothesis and alternative hypothesis Is there a relationship between diabetes and death? Table 1: Frequencies of Diabetes by Death Event We will use the observed frequencies to calculate the total frequencies. How to calculate Chi-Square? After that, we will square it.

Python 52

Python ML ML Data Science 52

Data Science Connect

JULY 26, 2023

Advancing Encryption Algorithms with AI Traditional encryption algorithms are based on complex mathematical formulas, which can be challenging to maintain and update in response to evolving cyber threats. Empowering Data Scientists in Protecting Data Data scientists play a critical role in securing and managing vast datasets.

Data Scientist 100

Data Scientist AI AI Machine Learning 100

Towards AI

FEBRUARY 21, 2023

We can put it into the mathematical form using the following formula. Figure — 1: Equation of the slope of a straight lineFigure — 2: Slope of a straight line The Rise of Derivatives: In the 17th century, Isaac Newton and Gottfried Leibniz thought that the concept of slope can be applied to curves as well.

Machine Learning 93

Machine Learning Machine Learning AI AI 93

Towards AI

FEBRUARY 12, 2024

The formula for finding the number of permutations of n distinct objects is n! (n n factorial), which means multiplying all positive integers from 1 to n together.In 10 × 9 × 8 × 7 × 6 × 5 × 4 × 3 × 2 × 1 = 3,628,800So there are 3,628,800 different ways to arrange the 10 men in a row.</s> </s> Bingo!

AI 86

AI AI Analytics Analytics 86

ODSC - Open Data Science

JUNE 30, 2023

Personal experiences are merely anecdotal, the unmeasurable is irrelevant, and success must scale a formula to be an evident success. Figure 1: “The human starburst”- needs of a population plotted in a multi-variate scatterplot showing the accuracy of any statistically determined truth relative to the position within the distribution.

Data Science 104

Data Science AI AI Deep Learning 104

Towards AI

JULY 29, 2023

Last Updated on August 1, 2023 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. The standardization is performed using the below formula: First, the mean and standard deviation is calculated for a column. As a result, we have to process the data to transform it into the desired format.

Machine Learning 74

Machine Learning Machine Learning AI AI 74

Mlearning.ai

MARCH 15, 2023

Part 1 Collect Stock Data Collect Interest Rate Write Black-Scholes Formula Price an Option Part 2 Create a Dash Layout Create the Callback for Live Prices Launch the App We are going to focus on Part 1 in this post and a follow up post will show how to build the app. S = round(df["close"].iloc[-1],2)

Python 52

Python ML ML Data Science 52

Heartbeat

JANUARY 31, 2023

Non-linear activation functions that you need to know Photo by Ricardo Gomez Angel on Unsplash Activation functions are equations or mathematical formulas that help us determine the output of a neural network. The graph of the sigmoid function is an S-shaped curve and the range of this activation function is between 0 and 1.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Mlearning.ai

JULY 23, 2023

This section will include some mathematics formula and calculations, so if you hate math, you can just skip it or maybe just read it for the sake of education. P(i | negative) = (0+1)/(5+7) = 0.83 P(love | negative) = (0+1)/(5+7) = 0.83 P(my | positive) = (0+1)/(4+7) = 0.09 How it works?

Algorithm 52

Algorithm Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Ocean Protocol

JULY 24, 2023

For DF8, there are no changes to the DF Rewards Formula or otherwise. DF8 Parameters For DF8, there are no changes to the DF Rewards Formula or otherwise. DF8 runs Oct 20–27, 2022 [Originally published by @trentmc0 on Oct 22, 2022. We’ve re-published to @TeamOcean to better organize archival posts. DF8 is DF/VE Alpha week 4.

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Towards AI

AUGUST 29, 2023

We can use it as follows: def sin_activation(x): return tf.sin(x)my_custom_layer = CustomLayer(2, sin_activation)input = tf.constant([[-1., 4.], [-1., -5., We can use it as follows: def sin_activation(x): return tf.sin(x)my_custom_layer = CustomLayer(2, sin_activation)input = tf.constant([[-1., 4.], [-1., -5.,

Deep Learning 94

Deep Learning Deep Learning Python Machine Learning 94

Ocean Protocol

JULY 24, 2023

DF Round 1 (DF1) is part of DF Alpha phase. Then, “ Ocean Data Farming Examples: DF1 ” provided examples to better understand earnings, against the DF1 rewards formula and related settings. DF2 Input Parameters The rewards formula and related settings for DF2 are the same as for DF1.

Algorithm 52

Algorithm 52

phData

DECEMBER 20, 2023

This is done by setting the action to Update Value with Formula and adding a [Destination] = [#1] Formula on the upper one, and [Destination] != [#1] on the lower one. For example, you can have a Boolean control the activation of an upper or lower part of a workflow inside a macro.

Analytics 52

Analytics Analytics Python 52

Dataversity

FEBRUARY 2, 2021

When it comes to racing and speed, the objectives of Formula 1 and NASCAR teams are the same. Click to learn more about author Daniel Foulkes Leon. Speed and power are driving the adoption of NoSQL technologies in Motorsports. And they aim to do so by having the fastest car, recruiting the most skilled […].

Database 40

Database Data Analysis Data Analysis Data Science 40

Machine Learning World

APRIL 24, 2021

After this in iteration: 1) for each cluster finding new centroid 2) for each centroids assign points and form new cluster Iteration stopped when SSE error are not decreasing. Iteratively we get part of the input matrix with the size of kernel and run by element multiplication with each kernel.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Towards AI

OCTOBER 8, 2023

BERTScore Here we walk through the BERTScore compute steps for the following formula: The figure in the paper below shows the rough outline of steps. Clicking on the unbox icon of the formula block, we can see the full compute graph for the IDF importance calculation. M=40 in the formula.

AI 69

AI AI Machine Learning Machine Learning 69