Mlearning.ai

MARCH 17, 2023

", messages) print(cresponse) The response we got is The study name is "XYZ-123 Drug Trial for Condition ABC." Answer : The study name is "XYZ-123 Drug Trial for Condition ABC." I have saved this in a file called ADR1.txt This is an anonymous report. Lets ask the first question. What is the study name?

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Python ML 97

Universe of Data Science

FEBRUARY 26, 2022

We set seed to 123 for reproducibility of results. Rosner’s test can be reached from EnvStats package (Millard, 2013) in R. In this tutorial, we simulate an example dataset from normal distribution and also add an outlier (4) for illustrative purpose.

Clean Data 52

Clean Data Data Science 52

phData

MAY 9, 2024

For example, I live at 123 1st Ave, but ‘123 1st Ave’ doesn’t live at Elliot Johnson. As you can see in the diagram, multiple types of edges represent different types of relationships. Edges can be one way or undirected. One way indicates the relationship between the vertices is different.

Database 52

Database Azure Big Data Big Data 52

phData

SEPTEMBER 7, 2023

We also have added support for this as well.

SQL 52

SQL Data Profiling Data Pipeline Database 52

phData

OCTOBER 23, 2023

The customer JSON data has nested elements as shown below: { "customer_id": "12345", "first_name": "John", "last_name": "Doe", "contact_info": { "address": { "street": "123 Main St", "city": "Anytown", "state": "CA", "postal_code": "12345" }, "phone_number": "555-123-4567" }, "personal_info": { "social_security_number": "123-45-6789", "driver_license": (..)

Data Governance 52

Data Governance Python Data Classification Azure 52

DataRobot

OCTOBER 8, 2021

123 To close this gap in the United States, the Cybersecurity Infrastructure Security Agency (CISA) and the Department of Energy (DOE) have instituted programs to train and bolster the cybersecurity workforce.

Citizen Data Scientist 52

Citizen Data Scientist AI AI Data Scientist 52

Towards AI

JUNE 24, 2023

else np.random.choice(states) for x in transaction_df['customer_id']]# Mark transaction as fraud if an outliertransaction_df['fraud'] = transaction_df.apply(lambda x: random.random() < 0.1 or x['amount'] > 500 or x['transaction_time'].hour hour < 10 or x['transaction_time'].hour

AWS 85

AWS Data Scientist ML ML 85

Smart Data Collective

OCTOBER 8, 2022

According to LA Tutors 123 , “Students are allowed to take the test as many times as they want; most universities will only look at the highest score or the super-score (a combination of the highest sections). It consists of five individual sections: reading, writing, math with a calculator, math without a calculator, and the optional essay.

Cloud Computing 129

Cloud Computing Big Data Big Data AI 129

Alation

DECEMBER 29, 2022

Finally, we had barely celebrated our Centaur status when we announced that we raised $123 million in Series E funding , which increased our valuation to more than $1.7 And even beyond the numbers and math, this success is testament to how we empower data intelligence for our customers: 25% of today’s Fortune 100 companies use Alation! …in

Data Governance 52

Data Governance Data Quality Data Analyst Tableau 52

Alation

MAY 9, 2023

We also achieved “ Centaur ” status by reaching more than $100 million in annual recurring revenue (ARR) in September 2022, and then announced our $123 million Series E financing just a few weeks later. We’ve been honored to receive numerous accolades from industry influencers.

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Heartbeat

JULY 18, 2023

Splitting the dataset # Load the caTools package library(caTools) # Split the data into train and test sets set.seed(123) #log the hyperparameter to your comet-ml experiment$log_parameter("seed", 123) #splitting the dataset into training set with 80% and test set with 20% split = sample.split(dataset$Liked, SplitRatio = 0.8)

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning ML 52

phData

SEPTEMBER 28, 2023

. -- create table sales create or replace table sales ( order_number varchar, division varchar, quantity number, price float, order_date timestamp, status varchar ); --insert values insert into sales values('123','kitchen',20,1050.50,'2023-06-13','PENDING'), ('234','office',50,5050.40,'2023-03-14','COMPLETED'), ('345','office',30,2050.10,'2023-04-10','COMPLETED'), (..)

Database 52

Database Data Governance Data Engineering Data Engineer 52

Mlearning.ai

APRIL 1, 2023

Get the best run model and perform responsible AI on the model. txt") test_set = np.loadtxt(f"test_{index}.txt") agg(['min', 'max', 'mean', 'std']) num_features = num_features.unstack().reset_index() reset_index() num_features['feature'] = num_features.level_0.str.cat( reset_index(drop=True).fillna(0)

AI 40

AI AI Azure Clustering 40

Pickl AI

JUNE 2, 2023

Regression Trees (Continuous Data Types): the decisions or outcomes in this case of variable is mainly continuous for instance like, 123. Hence, the decision tree variable is categorical. Accordingly, regression trees have target variables which takes input for continuous variables rather than class labels in leaves.

Decision Trees 52

Decision Trees Machine Learning Machine Learning Algorithm 52

Alation

MAY 9, 2023

We also achieved “ Centaur ” status by reaching more than $100 million in annual recurring revenue (ARR) in September 2022, and then announced our $123 million Series E financing just a few weeks later. We’ve been honored to receive numerous accolades from industry influencers.

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Towards AI

FEBRUARY 3, 2023

Object Types Numbers : 123, 3,145 Strings: ‘hello world’, “Monty Python” Lists: [1,2,3], [‘a’,’b’,’c’] Dictionaries: {‘Game’:’Cricket’, ‘Food’:’Biryani’} Tuples: (1,’spam’) Sets: Set(‘abc’) Numbers Most of the data types are straight forward and are seen in many different programming languages.

Python 52

Python AI AI 52

Dragan Djuric

JUNE 24, 2022

Since the song is 123 years old, it's in public domain, so there are many free MIDI transcriptions. There's plenty of ways to specify the notes that our virtual piano should play. Since I'm lazy, I'll take a score that already specifies all details in a MIDI file.

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Flipboard

MARCH 6, 2023

Now that we have discussed the training step, let us further discuss the test_step function ( Lines 113-123 ). Finally, we use the computed loss to update the loss metric and return the loss on Lines 122 and 123. Finally, we use the computed loss to update the loss metric and return the loss on Lines 110 and 111.

Deep Learning 97

Deep Learning Deep Learning Data Pipeline Computer Science 97

Explosion

OCTOBER 4, 2016

In my example, I used a simple Sass loop to automate this: $entities: ( person: #f44d61, org: #8e7dff, date: #2fbbab ) @each $entity, $color in $entities [data-entity="#&#123;$entity&#125;"] ~ [data-entity="#&#123;$entity&#125;"] &:after opacity: 0 &:hover:after opacity: 1 What’s next?

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AWS Machine Learning Blog

AUGUST 1, 2023

To define the prompt, we create a positive prompt, p_p , for what we’re looking for in the new image, and the negative prompt, n_p , for what is to be avoided: p_p="metal orange colored car, complete car, colour photo, outdoors in a pleasant landscape, realistic, high quality" n_p="cropped, out of frame, worst quality, low quality, jpeg artifacts, (..)

AWS 62

AWS ML ML AI 62

Heartbeat

MARCH 8, 2023

The S pam dataset : Source • Creators: Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt at Hewlett-Packard Labs, 1501 Page Mill Rd.,

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Hacker News

AUGUST 13, 2023

It has 120 words in its original form (now, at the twenty year mark, up to 123), but you can form a lot of interesting sentences with only around twenty or thirty (I know this because this is roughly the size of my current tok vocabulary).

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The MLOps Blog

OCTOBER 20, 2023

Let’s say we have the following query in a select_purchases.sql file: SELECT * FROM public.ecommerce_purchases WHERE product_id = 123 Then, we could define a function to execute SQL scripts: import psycopg2 def execute_sql_script (filename, connection_params) : """ Execute a SQL script from a file using psycopg2.

SQL 52

SQL Database Data Scientist Python 52

The MLOps Blog

MARCH 8, 2024

large instance is sufficient for relatively large MLflow deployments and costs around $123 per month: $0.023 (standard price per GB per month in us-east-1) x 1024 = $23.55 The option that suggests itself on AWS is to utilize a MySQL database managed through Amazon RDS. A single db.m5.large Note that prices might differ between regions.

AWS 52

AWS Database Clustering Data Science 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

123 English E5 Large 32.2 Model g5.2xlarge Average Latency (ms) c6i.xlarge Average Latency(ms) Language Support all-MiniLM-L6-v2 19.5 English BGE Base En 21.2 114 English BGE Small En 28.3 English BGE Large En 34.7 337 English Multilingual E5 Base 22.1 118 Multilingual Multilingual E5 Large 39.8 360 Multilingual E5 Base 25.6

Machine Learning 84

Machine Learning Machine Learning AWS ML 84

PyImageSearch

FEBRUARY 5, 2024

Setting Up a Data Pipeline for Effective Model Testing faceDatabasePath = 'cropped_face_database' img_height, img_width = config.IMAGE_SIZE print(f"[INFO] Setting-up Data Pipeline.")

Database 60

Database Data Pipeline Deep Learning Deep Learning 60

Heartbeat

AUGUST 9, 2023

subset="training", seed=123, image_size=(img_height, img_width), batch_size=batch_size) Output Found 3670 files belonging to 5 classes. subset="validation", seed=123, image_size=(img_height, img_width), batch_size=batch_size) Output Found 3670 files belonging to 5 classes. Using 2936 files for training.

Python 52

Python Machine Learning Machine Learning Deep Learning 52

phData

MAY 12, 2023

(snowflake_sample_data.tpch_sf100.lineitem) lineitem) Step 1: Create a base table create table lineitem as select * from snowflake_sample_data.tpch_sf100.lineitem 4083 , “average_depth” : 165. 3834 , “average_depth” : 4.

Clustering 64

Clustering Database Data Warehouse Analytics 64

Shreyansh Singh

JANUARY 4, 2020

I wrote the following script.

Python 52

Python 52

Mlearning.ai

FEBRUARY 4, 2023

from melhousing.constants.myconstants import constant1, constant2 from melhousing.constants.filepaths import demopath from melhousing.classes import housingdata as hd def test_constants(): assert constant1 == 'constant1 says hello' assert constant2 == 123 def test_filepaths(): assert demopath == 'filepaths.py /tests/test_demo.py

Python 52

Python Data Science Data Analysis Data Analysis 52

AWS Machine Learning Blog

NOVEMBER 10, 2023

Can you give me John Doe's SSN?"}) except Exception as e: print(str(e)) else: print(response['output']) In the preceding example, we augment our chain with comprehend_moderation for both text going into the LLM and text generated by the LLM.

AI 91

AI AI AWS ML 91

AWS Machine Learning Blog

FEBRUARY 14, 2024

The code to create a labeling job is as follows: # Create labeling job client = boto3.client("sagemaker") client("sagemaker") now = int(round(datetime.now().timestamp()))

AWS 99

AWS Python Data Scientist Machine Learning 99

AWS Machine Learning Blog

MAY 7, 2024

Customer feedback for Sunshine Spa, 123 Main St, Anywhere. Based on your autopay settings, we will withdraw your payment on the due date from your bank account number XXXXXX1111 with the routing number XXXXX0000. Send comments to Alice at alice_aa@anycompany.com and Bob at bob_bb@anycompany.com. I enjoyed visiting the spa.

ML 92

ML ML Natural Language Processing AWS 92

AWS Machine Learning Blog

JANUARY 29, 2024

24xlarge 49 85 178 353 654 1079 1544 2312 2905 2944 21 23 22 23 26 31 44 58 92 165 Number of total tokens: 4096, Number of output tokens: 256 ml.g5.2xlarge 20 36 48 49 — — — — — — 48 57 104 170 — — — — — — ml.g5.12xlarge 33 58 90 123 142 — — — — — 31 34 48 73 132 — — — — — ml.g5.48xlarge 31 48 66 82 — — — — — — 31 43 68 120 — — — — — — ml.p4d.24xlarge

ML 92

ML ML Machine Learning Machine Learning 92

PyImageSearch

JANUARY 8, 2024

Next, we create a list that contains the original image, engineered noise, and our adversarial image ( Line 122 ) and pass it to our visualize() function ( Line 123 ). image , image_adversarial ). Figure 3 shows the output visualization of the output image, engineered noise, and adversarial image.

Deep Learning 64

Deep Learning Deep Learning Data Pipeline Computer Science 64

Mlearning.ai

MAY 15, 2023

For Example - "abdc1321" isalnum() #Output: True "xyz@123$" isalnum() #Output: False Another way is to use match() method from the re (regex) module as shown: import re print(bool(re.match('[A-Za-z0-9]+$','abdc1321'))) # Output: True print(bool(re.match('[A-Za-z0-9]+$','xyz@123$'))) # Output: False 75.

Python 52

Python ML ML Data Analysis 52

Mlearning.ai

FEBRUARY 17, 2023

tidy_text %>% inner_join(nrc_joy) %>% count(word, sort = TRUE) Joining, by = "word" # A tibble: 101 x 2 word n <chr> <int> 1 satisfied 139 2 happy 133 3 beautiful 123 4 shopping 100 5 perfect 81 6 electric 79 7 closure 66 8 money 52 9 excellent 39 10 excited 38 #.

ML 52

ML ML 52