Tableau

JANUARY 6, 2022

The top 3 finalists will progress to the Iron Viz Championship, where the stakes get even higher: 1st place: $10,000 cash prize (!!!); $5,000 to a nonprofit of choice; and the Iron Viz Champion trophy. There are millions of vizzes to explore, covering numerous topics and data sets. . The fine print. NO PURCHASE NECESSARY.

Tableau 102

Tableau Data Visualization 102

Tableau

JANUARY 6, 2022

The top 3 finalists will progress to the Iron Viz Championship, where the stakes get even higher: 1st place: $10,000 cash prize (!!!); $5,000 to a nonprofit of choice; and the Iron Viz Champion trophy. There are millions of vizzes to explore, covering numerous topics and data sets. The fine print. NO PURCHASE NECESSARY.

Tableau 98

Tableau Data Visualization 98

Hacker News

FEBRUARY 22, 2023

One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ). currentThread ()); } In fact, the above function allows us to print some helpful information concerning virtual threads that will be very handy in understanding what’s going on.

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Flipboard

FEBRUARY 13, 2023

tensorflow and os ) on Lines 2 and 3. This function takes the image and the channels argument as input, which is set to the value 3 since we need an RGB output image. names = os.listdir(args["dataset"]) # loop over all names print("[INFO] starting to crop faces and saving them to disk.") TRAIN_DATASET ) and test dataset (i.e.,

Data Pipeline 106

Data Pipeline Deep Learning Deep Learning Python 106

Chatbots Life

AUGUST 31, 2023

You can install it using: d. A sophisticated chatbot can maintain a consistent conversational theme even with multiple inputs, switching from one topic to another easily. Also, this tool learns on a continual basis depending on inputs and usage, learning and getting better with time.

Python 52

Python AI AI 52

Victor Zhou

MAY 29, 2019

We’d written 3 classes, one for each layer: Conv3x3 , MaxPool , and Softmax. Now imagine building a network with 50 layers instead of 3 - it’s even more valuable then to have good systems in place. To calculate those 3 loss gradients, we first need to derive 3 more results: the gradients of totals against weights, biases, and input.

ML 52

ML ML 52

PyImageSearch

FEBRUARY 19, 2024

vs. pip install -q -U google-generativeai Line 1: Installs the google-generativeai library Step 2: Importing Essential Python Packages import textwrap import google.generativeai as genai from IPython.display import Markdown Lines 1-3: Imports three key Python packages. ChatGPT-3.5

Deep Learning 60

Deep Learning Deep Learning Python AI 60

PyImageSearch

DECEMBER 19, 2022

Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Looking for the source code to this post?

Deep Learning 52

Deep Learning Deep Learning Python AI 52

PyImageSearch

DECEMBER 26, 2022

print(f"Raw Data(data={raw_data}, type={type(raw_data)}") value_node = Value(data=raw_data) # Calling the `__repr__` function here print(value_node) >>> Raw Data(data=5.0, Applying the chain rule, we get the global gradient for and , as shown in Figure 3. print(f"c => {c}") # Now apply `_backward` to c c. dx/da = dy/dx.

Deep Learning 52

Deep Learning Deep Learning Python Artificial Intelligence 52

PyImageSearch

FEBRUARY 27, 2023

We’ll also cover the topic of randomness in JAX, including how to generate and control random numbers for use in your computations. Pure Functions Before continuing, we want to take a break and discuss a topic important to understand when using JAX, built around the idea of pure functions.

Machine Learning 107

Machine Learning Machine Learning Deep Learning Deep Learning 107

Mlearning.ai

JULY 28, 2023

1: # Clean text: remove single and double quotes replace0 = ['"', "'", f"{k}: ", ','] replace1 = ['', '', '', ''] for ind, i in enumerate(replace0): txtline = txtline.replace(i, replace1[ind]) # print('txtline: ', txtline) d[k].append(txtline)

SQL 52

SQL Python ML ML 52

Mlearning.ai

APRIL 12, 2023

message.content # You can print it if you like. print(msgresponse) # We return the new answer back to the calling function return msgresponse We will be using this function to communicate with ChatGPT. Those two answers are used to create a new prompt that is actually sent to ChatGPT to create the task in the next step. #

AI 92

AI AI Natural Language Processing Machine Learning 92

PyImageSearch

MAY 15, 2023

Home Table of Contents Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? We will take it a step further by deploying the model on the OAK-D device. Looking for the source code to this post?

Deep Learning 102

Deep Learning Deep Learning Python Algorithm 102

AssemblyAI

NOVEMBER 2, 2023

Here’s a quick example of how powerful AI Summarization models can be: Inside Intercom: Josh Seiden 0:00 / 1962.135438 1× Bullets Josh Seiden and Brian Donohue discuss the topic of outcome versus output on Inside Intercom. Josh's book is available on Amazon, in print, in ebook and in audiobook on Audible.com.

AI 98

AI AI Python 98

PyImageSearch

MARCH 13, 2023

Figure 1: Segmentation outputs for (a) an input image, (b) Semantic Segmentation, (c) Instance Segmentation, and (d) Panoptic Segmentation (source: Panoptic Segmentation, by Kirillov et al. ). sky : 0, road : 1, person : 2, car : 3, tree : 4, traffic_light : 5). The pixels of all cars in the image are labeled as 3.

Deep Learning 117

Deep Learning Deep Learning Python Computer Science 117

Hacker News

FEBRUARY 2, 2023

This is part 2 in a 3-part series about the Second Law: 1. A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics 3. I’d seen a computer in real life only once—when I was 10 years old, and from a distance. Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2.

Machine Learning 157

Machine Learning Machine Learning Algorithm Analytics 157

PyImageSearch

JULY 17, 2023

If we got a nickel every time a dataset disappeared from the web, we’d have enough to buy a Tesla. If CHANNELS were 3 , that would suggest the images are in full color (red, green, blue). We could have hosted it anywhere, but we chose Roboflow and for good reasons! Let’s rewind a bit. And oh, the frustration!

Deep Learning 98

Deep Learning Deep Learning Python Machine Learning 98

Mlearning.ai

MAY 8, 2023

perimeter d. head(10) # the result 0 NaN 1 NaN 2 NaN 3 NaN 4 NaN 5 NaN 6 NaN 7 NaN 8 NaN 9 NaN Name: Unnamed: 32, dtype: float64 In order to further verify that Unamed:32 columns have null values present in the entire column we can conduct a heat map to verify this visually. 3] Harouna Soumare, Alia Benkahla, & Nabil Gmati (2021).

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Explosion

DECEMBER 14, 2021

Evaluation ✨ Section 3: Named Entity Recognition ⚙️ Section 5: Healthsea in production 3.1 A good example is Vitamin D3 (Cholecalciferol, one of four forms of Vitamin D) that is produced by our skin when exposed to UVB light (sunlight). for sentence in doc.sents: print(sentence._.parse_string) Segmentation component 2.1

Clustering 52

Clustering Machine Learning Machine Learning Natural Language Processing 52

Flipboard

AUGUST 21, 2023

This lesson is the 3rd in our series on OAK 102 : Training the YOLOv8 Object Detector for OAK-D Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time People Counter on OAK (this tutorial) To learn how to implement and run people counting on OAK, just keep reading. Figure 3: Script Node in DepthAI ( source ).

Python 88

Python Deep Learning Deep Learning Algorithm 88

Alation

FEBRUARY 13, 2020

To help with finding and understanding data, you can group it and make it browsable by topic. You’d say, “Hey, you seem to be data-savvy. .” There’s another layer of branding or what not that we can put on data that says, “This data is appropriate for use in this way.” Aaron : Absolutely right.

Tableau 52

Tableau Analytics Analytics Data Quality 52

phData

MARCH 20, 2024

We are going to explore the following topics in detail: Parameterization Decision-making constructs Iteration Dynamic code building blocks Methods Parameterization: Allowing Models to Adapt Based on Input Values Jinja’s variables store frequently used values, environment-specific values, and table prefixes in your dbt_project.yml file.

SQL 52

SQL Data Wrangling Database Python 52