Mlearning.ai

JULY 2, 2023

sum(), end = 'n'*2) print('#'*30 + 'Descriptive Statistics of Numerical Features' + '#'*30, end = 'n'*2) print(dataset.describe().T, In addition, I aim to reveal valuable patterns and trends in the data set by examining the statistical properties of numerical variables. legend=dict(x=0.7,

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

Snorkel AI

JULY 19, 2023

When comparing a random sample of the curated dataset (n=1554 samples) with Dolly and OpenAssistant instruction/response pairs with the original used for RedPajama v1 (n=1000 samples), we found a nine-point (24%) increase in win rate against ChatGPT, from 37.8%

AI 52

AI AI Natural Language Processing Machine Learning 52

Snorkel AI

JULY 19, 2023

When comparing a random sample of the curated dataset (n=1554 samples) with Dolly and OpenAssistant instruction/response pairs with the original used for RedPajama v1 (n=1000 samples), we found a nine-point (24%) increase in win rate against ChatGPT, from 37.8%

AI 52

AI AI Natural Language Processing Machine Learning 52

DrivenData Labs

DECEMBER 13, 2022

sample ( n = 1 , random_state = 3 ). In [41]: # define a small area to crop around # crop to 400 meters squared around the sampling point minx , miny , maxx , maxy = get_bounding_box ( example_row. sample ( n = 2500 , random_state = 2 ) # combine train subset with all test data metadata_subset = pd. latitude , example_row.

ML 130

ML ML Python Deep Learning 130

Snorkel AI

JULY 19, 2023

When comparing a random sample of the curated dataset (n=1554 samples) with Dolly and OpenAssistant instruction/response pairs with the original used for RedPajama v1 (n=1000 samples), we found a nine-point (24%) increase in win rate against ChatGPT, from 37.8%

AI 40

AI AI Natural Language Processing Machine Learning 40

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Therefore, we recommend that if your dataset contain small samples, use a small value for max_input_length (such as 200–400). Hey there,n nSorry for the late response!! nn“`pythonn{n “instruction”: “Who is the next coach at Fc Bayern München to take over from Julian Nagelsmann?”,

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ML ML Machine Learning Machine Learning 97

AssemblyAI

SEPTEMBER 29, 2023

The training objective is to simultaneously maximize the cosine similarity between N correct encoded image/caption pairs and minimize the cosine similarity between N 2 - N incorrect encoded image/caption pairs. Then, the cosine similarity of each (image, text) pair is computed.

Deep Learning 116

Deep Learning Deep Learning Machine Learning Machine Learning 116

AWS Machine Learning Blog

APRIL 26, 2024

strip(), " n"]) elif instruction["role"] == "user": prompt.extend([" usern", (instruction["content"]).strip(), strip(), " n"]) else: raise ValueError(f"Invalid role: {instruction['role']}. He has earned the title of one of the Youngest Indian Master Inventors with over 400 patents in the AI/ML and IoT domains.

ML 99

ML ML AWS Python 99

Towards AI

OCTOBER 5, 2023

For this, they created a dataset of 400 million (image, text) pairs collected from the internet. Contrastive Pre-training Consider a batch of N images and their corresponding N captions. With these, we can create N x N possible (image, text) pairings across a batch. N in the number of classes in the target dataset.

Supervised Learning 62

Supervised Learning AI AI Machine Learning 62

AWS Machine Learning Blog

JANUARY 17, 2023

There are many hyperparameters you can tune, such as n-estimators, max-depth, and bootstrap. For more details, refer to the GitHub repo. For demonstration purposes, we only use numerical features CustServ Calls and Account Length , categorical features plan , and limit , and text feature text to fit the model.

AWS 70

AWS Machine Learning Machine Learning Natural Language Processing 70

Hacker News

FEBRUARY 7, 2024

However, with a pool of N clocks, C, forming the clock ensemble, the question becomes which clocks to select for determining robustness and accurate timing information. Clocks that are not accurate are rejected (C_reject) and, thus, our ensemble size falls to N = C_total – C_reject.

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Pickl AI

APRIL 10, 2023

span style=”font-weight: 400;”>Whether you are a fresher, a student, a working professional, or even a Data Scientist with some experience, upscaling yourself in Data Science will always positively impact the professional growth curve.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

AWS Machine Learning Blog

MAY 5, 2023

We create a Ground Truth adjustment job using it: # The directory to which to write the exported dataset export_dir = "200kFashionDatasetExportResult-16Images" # The name of the sample field containing the label that you wish to export # Used when exporting labeled datasets (e.g.,

Machine Learning 75

Machine Learning Machine Learning AWS ML 75

Cambridge Intelligence

MARCH 29, 2023

TRY OUR TOOLKITS Sources PwC’s 26th Annual Global CEO Survey 2023 – 4,410 chief executives from 105 countries and territories Fall 2022 Fortune/Deloitte Survey – 121 CEOs Nov 2023 Gerson Lehrman Group, Inc.

Data Visualization 52

Data Visualization Data Analysis Data Analysis Big Data 52

Flipboard

NOVEMBER 20, 2023

n {context}n {question} [/INST] """ prompt_template = PromptTemplate( template=template, input_variables=['context','question'] ) Let’s ask the model a question that needs recent information from 2023. split('n')] response = 'n'.join(temp) Use the following pieces of retrieved context to answer the query.

AWS 128

AWS Database Machine Learning Machine Learning 128

Mlearning.ai

FEBRUARY 17, 2023

product_family_xxxx%in%("-") & brand%in%c("xxxx", "XXXXX"))%>% mutate(jaar = as.factor(jaar))%>% group_by(jaar, rating, product_family_xxxx)%>% summarise(freq=n())%>% ggplot(., Reviews%>% mutate(brand = recode_factor(brand, xxxx = "XXXX"), jaar = as.factor(jaar))%>% ggplot(.,

ML 52

ML ML 52

phData

DECEMBER 22, 2023

The brute force approach would be to go through all path permutations, a time complexity of O(n!). Exact algorithms, like the Held-Karp algorithm, solve the problem in O(n^2 * 2^n) time. This would solve a 20-city problem in a still completely unreasonable (but vastly improved) ~400 million permutations.

Algorithm 52

Algorithm Python SQL Database 52

PyImageSearch

NOVEMBER 13, 2023

The next step is to compute the average for all your top- N values, hence the term Average Precision (AP). Here, we can see an input image of 600×400 pixels. Here we take only the top N proposals and discard the rest. 2015) set N = 2 , 000, but we can get away with a much smaller N (e.g.,

Deep Learning 120

Deep Learning Deep Learning Algorithm Support Vector Machines 120

Victor Zhou

JULY 24, 2019

The How Let’s consider a “many to many” RNN with inputs x 0 , x 1 , … x n x_0, x_1, ldots x_n x 0 ​ , x 1 ​ , … x n ​ that wants to produce outputs y 0 , y 1 , … y n y_0, y_1, ldots y_n y 0 ​ , y 1 ​ , … y n ​. learn_rate is a float. ''' n = len ( self. last_hs [ n ]. last_hs [ n ]. last_hs [ n ].

Python 72

Python Machine Learning Machine Learning Natural Language Processing 72

ODSC - Open Data Science

OCTOBER 27, 2023

We then perform splitting of all the pages in the document into chunks of 400 characters. ", "?", ") print(f"Answer is = {answer.strip()}") —- Answer is = $6,000 ``` In this example, we extracted a document with Amazon Textract getting per-page text.

AWS 98

AWS AI AI Data Science 98

AWS Machine Learning Blog

OCTOBER 24, 2023

page_content) print (f"Our prompt has {num_tokens} tokens nn =n") llm_chain = LLMChain(prompt=prompt, llm=bedrock_llm) summary = llm_chain.run(document[0].page_content) This internally runs a similarity search query on the vector database that returns the top n (where n=3 in our example) chunks of text that are relevant to the question.

Database 113

Database AWS ML ML 113

Google Research AI blog

MAY 18, 2023

Next, the tube features are concatenated together to form a set of N tokens. Results We evaluate our sparse tube ViT approach using Kinetics-400 (shown below), Kinetics-600 and Kinetics-700 datasets and compare its performance to a long list of prior methods. These tokens are processed by a standard ViT encoder.

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AWS Machine Learning Blog

MAY 7, 2024

The majority of videos are less than 20 seconds and the maximum is 400 seconds, as illustrated in the following figure. Each video has manually written metadata such as keywords and descriptions. In general, the videos in this dataset are related to travel, vacations, and restaurants topics.

AWS 97

AWS AI AI Machine Learning 97

Shreyansh Singh

DECEMBER 26, 2021

million n-grams, including 164,000 unigrams. An RNN model is trained from scratch in the server and federated environments and achieves recall improvements with respect to the baseline, which is a n-gram finite state transducer (FST). On average, each client processes approximately 400 example sentences during a single training epoch.

Algorithm 52

Algorithm 52

AWS Machine Learning Blog

JANUARY 29, 2024

In this formula, B is batch size and N is number of accelerators. Plugging in the model’s full context length (N = 4096) and remaining parameters (n_layers=32, n_kv_attention_heads=32, and d_attention_head=128), this expression shows we are limited to serving a batch size of four users in parallel due to DRAM constraints.

ML 95

ML ML Machine Learning Machine Learning 95

AWS Machine Learning Blog

OCTOBER 6, 2023

CLIP is trained on a dataset of 400 million image-text pairs collected from a variety of publicly available sources on the internet. pygmentize clip/serving.properties | cat -n In the model.py CLIP model CLIP is a multi-modal vision and language model, which can be used for image-text similarity and for zero-shot image classification.

AI 97

AI AI AWS ML 97

Hacker News

JUNE 28, 2023

The most extensive handbook—finally published in 1973—runs to about 400 pages. are InscribedBall and CircumscribedBall —which give ( n -dimensional) spheres that, respectively, just fit inside and outside regions you give: In the past several versions, we’ve added functionality that combines geo computation with computational geometry.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

Hacker News

FEBRUARY 14, 2023

And if we generate “random words” with progressively longer n -gram probabilities, we see that they get progressively “more realistic”: But let’s now assume—more or less as ChatGPT does—that we’re dealing with whole words, not letters. Here’s a random example. First comes the embedding module.

Machine Learning 182

Machine Learning Machine Learning Algorithm Artificial Intelligence 182

Snorkel AI

MARCH 8, 2023

For N tasks, we need to serve N models. CLIP was trained on 400 million image-caption examples, but the data was never released. After we collected this dataset, the LAION dataset also came out, which is around 400 million in a smaller subset, but also 5 billion in a larger subset. Okay, why do we want a unified model?

Natural Language Processing 52

Natural Language Processing AI AI 52

Snorkel AI

MARCH 8, 2023

For N tasks, we need to serve N models. CLIP was trained on 400 million image-caption examples, but the data was never released. After we collected this dataset, the LAION dataset also came out, which is around 400 million in a smaller subset, but also 5 billion in a larger subset. Okay, why do we want a unified model?

Natural Language Processing 52

Natural Language Processing AI AI 52

Mlearning.ai

FEBRUARY 24, 2023

I want to look closer at the gvg metric and will compare it to the 400–450 gram weight class. .)+ geom_line(aes(x=Datum,y=mean))+ theme(legend.position = "bottom")+ labs(x="Date") Measured daily, the zero values represent days in which no cucumbers were harvested. category%in%c("gvg", "m2"))%>% filter(!

ML 52

ML ML Data Wrangling Algorithm 52