Mlearning.ai

JULY 23, 2023

By 1990, they had almost quadrupled, reaching over 22 billion tonnes. Then you’ll love my blog on Medium! I regularly post about these topics and share my insights on the latest trends and tools in data science. If you find my content helpful, please like and follow my blog.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask. I myself made this as my final year major project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Flipboard

JUNE 16, 2023

ChatGPT Struggling with your next blog post or work email? From business proposals to emails to short stories to blog articles, ChatGPT can help you brainstorm, compose, and polish your message until it’s exactly what you want. Whether you’re penning a blog post , crafting sales copy, or even writing a novel, Jasper.ai

AI 86

AI AI ML ML 86

Data Science Dojo

DECEMBER 31, 2023

Utilizing a vast trove of internet information, Bard was engineered to simplify complex topics and generate timely responses, a development potentially representing a breakthrough in human-like AI communication. Its past accomplishments position Gemini as a powerful tool for nuanced information comprehension and complex reasoning tasks.

AI 195

AI AI AWS Python 195

Pickl AI

JANUARY 31, 2023

The blog will answer your question. In effect, the Certified Data Science professional programme includes topics like Data Analysis and Visualisation, ML models, Predictive models , NLP etc. Thus, if you want to transition to a career in Data Science, you should enrol yourself in a Data Science Job Guarantee Course.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

ODSC - Open Data Science

JUNE 15, 2023

How to Fine-Tune and Serve LLMs Simply, Quickly, and Cost-Effectively Using Ray + DeepSpeed + HuggingFace In this blog, we share a practical approach on how you can use the combination of HuggingFace, DeepSpeed, and Ray to build a system for fine-tuning and serving LLMs, in 40 minutes for less than $7 for a 6 billion parameter model.

Data Scientist 52

Data Scientist Data Science AI AI 52

Google Research AI blog

MAY 18, 2023

In this blog post, we review recent PAIR work that is changing the way we engage with AI. For example, they may visit architectural blogs to learn what domain-specific vocabulary they can adopt to help produce distinctive images of buildings. In the past, PAIR and Google Cloud developed model cards.

AI 65

AI AI ML ML 65

Google Research AI blog

FEBRUARY 10, 2023

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. Google Research, 2022 & beyond This was the fifth blog post in the “Google Research, 2022 & Beyond” series. You can find other posts in the series here.)

Algorithm 110

Algorithm Clustering ML ML 110

AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store. Nov01, 22:04:15 1 26.99 …1248 50.00

ML 76

ML ML Apache Kafka SQL 76

DataRobot Blog

APRIL 29, 2022

The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017. The details of these examples are often the topic of business school case studies and debate, but there is no arguing that model risk is very real and must be managed. More on this topic. The Framework for ML Governance. Download now.

Machine Learning 111

Machine Learning Machine Learning AI AI 111

IBM Journey to AI blog

MARCH 26, 2024

A recent study from the IBM Institute for Business Value surveyed 5,000 global C-suite executives across 22 industries to find out why sustainability isn’t generating more impact for organizations. The criticality of a clear data strategy and foundation brings us our final topic: how generative AI can further accelerate sustainability.

Data Governance 62

Data Governance AI AI 62

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. However, this transformative shift does come with its share of challenges.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 52

PyImageSearch

JANUARY 16, 2023

In this blog post, we will thoroughly understand what Gradient Boosting is and understand the math behind this beautiful concept. To refresh your memory, we recommend going through the first blog post of this series once again. The concept of Gradient Boosting works very similarly to how AdaBoost operates (see previous blog post ).

Decision Trees 102

Decision Trees Deep Learning Deep Learning Algorithm 102

phData

JANUARY 30, 2024

Until recent developments in the research community, traditional natural language processing focused on text classification, topic modeling, or simple sentiment analysis. as of the time of writing this blog article. Conclusion In this blog, we’ve demonstrated how easy it is to incorporate OpenAI’s models into your own code.

Database 52

Database Python Natural Language Processing Deep Learning 52

Kaggle

APRIL 20, 2020

Model 3: Package LDA topic. The new feature is a package’s topic based LDA (Latent Dirichlet Allocation). The LDA topic of a package is inferred from the word counts of its man pages. I use the topics.csv , kindly prepared by the contest organizers, to map a R package to one of the 25 LDA topics (See topic_models.R

Cross Validation 73

Cross Validation Machine Learning Machine Learning Computer Science 73

Google Research AI blog

FEBRUARY 28, 2023

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. Top Google Research, 2022 & beyond This was the ninth and final blog post in the “Google Research, 2022 & Beyond” series. You can find other posts in the series here.)

ML 72

ML ML Deep Learning Deep Learning 72

Alation

DECEMBER 15, 2022

While often a heavily debated topic, most would agree that just like every story needs a hero, every pursuit needs a GOAT. As I reflected on this topic, it occurred to me that software categories should be no different. Subscribe to Alation's Blog. If you follow professional sports, you’re likely familiar with GOATs.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

AssemblyAI

MARCH 21, 2023

It may come as no surprise that the attention to this topic of both academic and industry researchers around the world has experienced a growth explosion in the last few years. The following figure aims at illustrating the distribution of GNN papers across 22 categories.

AI 126

AI AI Deep Learning Deep Learning 126

Heartbeat

DECEMBER 7, 2023

I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. I had the chance to attend the “ Data and Analytics Summit ” organized by Gartner on May 22–24, 2023. Even though the titles are new, the ideas are not really new.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

O'Reilly Media

SEPTEMBER 15, 2021

22% of respondents said they intended to change jobs, roughly what we would have expected. 22% reported that they were considering changing jobs because their salaries hadn’t increased during the past year. This corresponds to an annual increase of 2.25%. We don’t see evidence of a “great resignation.” Salaries by Certification.

AI 145

AI AI Azure AWS 145

PyImageSearch

MAY 29, 2023

In the next part of this blog series, we will dive deeper into the training process of our image translation model. BASE_OUTPUT_PATH ), and on Line 22 , we define the path where the CycleGAN generator will be saved after training (i.e., My mission is to change education and how complex Artificial Intelligence topics are taught.

Deep Learning 56

Deep Learning Deep Learning Computer Science Computer Science 56

Dataconomy

APRIL 4, 2023

It is a deep neural network that can generate coherent and diverse texts on any topic, given some keywords or a prompt. After a Google employee believed LaMDA was conscious, the AI became a topic of discussion due to the impression it gave off in its answers. It is one of the best AI models. For more information, click here.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

It is a deep neural network that can generate coherent and diverse texts on any topic, given some keywords or a prompt. After a Google employee believed LaMDA was conscious, the AI became a topic of discussion due to the impression it gave off in its answers. It is one of the best AI models. For more information, click here.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

phData

AUGUST 8, 2023

In this blog, we will delve into how GPUs will be critical in the creation of advanced AI models as well as define how NVIDIA is already powering Gen AI development. How do GPUs Facilitate Model Training The GPU Advantage GPUs excel in handling multiple computations simultaneously.

AI 52

AI AI Deep Learning Deep Learning 52

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. Join us on Monday, August 22, at 12:15pm PT / 3:15 p.m. Subscribe to Alation's Blog. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

MARCH 13, 2024

Read widely: Reading books, articles, and blogs from different genres and subjects exposes you to new words and phrases. Join a book club or discussion group: Engaging in conversations and discussions about books, articles, or any other topic exposes you to different perspectives and new vocabulary. gemma-2b-instruct ml.g5.xlarge

Machine Learning 101

Machine Learning Machine Learning Algorithm Python 101

AWS Machine Learning Blog

FEBRUARY 28, 2023

And for full batch inference when k =1, the subgraph size is 22%. For more information about this topic and implementation, we encourage you to explore and test our scripts on your own. We compare graph sizes in terms of number of nodes. When k =2, subgraph sizes for small and full batch inference are 54% and 64%, respectively.

AWS 80

AWS Machine Learning Machine Learning Algorithm 80

PyImageSearch

FEBRUARY 19, 2024

Setting Up Gemini Pro for Generating Image Classification Code in PyTorch Now, let’s dive into our latest blog post, where we’ll set up Gemini Pro and delve into its capabilities for image classification. My mission is to change education and how complex Artificial Intelligence topics are taught. 1000 car 0.91 1000 bird 0.72

Deep Learning 60

Deep Learning Deep Learning Python AI 60

Dataconomy

MAY 8, 2023

In addition to being able to make art, Jasper has an AI writing assistant that can help you write blog posts, updates for social media, and anything else you need to get written. Stable Diffusion AI Stability AI released the open-source artificial intelligence art generator  Stable Diffusion  on August 22.

AI 194

AI AI Artificial Intelligence Artificial Intelligence 194

PyImageSearch

JANUARY 8, 2024

We have already seen the awesome capabilities of deep neural network-based computer vision models in image classification, object detection, image generation, and various other applications through different blogs and tutorials on PyImageSearch. My mission is to change education and how complex Artificial Intelligence topics are taught.

Deep Learning 64

Deep Learning Deep Learning Data Pipeline Computer Science 64

O'Reilly Media

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. My student and I recently published a research paper on this topic, which we summarized in our Radar article Teaching Programming in the Age of ChatGPT. using “22” for the year 2022).

AI 98

AI AI ML ML 98

PyImageSearch

APRIL 3, 2023

Then, from Lines 6-11 , we define the following: path to the vegetable classifier model test data directory output locations for images and videos From Lines 14-22 , we also define the dimensions for images and camera previews and a list of class label names to help decode class predictions to human-readable class names. start() fourcc = cv2.VideoWriter_fourcc(*'XVID')

Deep Learning 64

Deep Learning Deep Learning AI AI 64

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. So this is all for this blog folks. What is Data Science? What is a Gradient and Gradient Descent?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. We will continue to experiment with scope and timelines, to understand how best to convey topics to the reader. Online] Sebastian Ruder Blog (ruder.io). Online] Andrej Karpathy Blog ( [link] ).

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

It has become a very hot topic these days. Instance Type Max Input Len Per Device Batch Size Int8 Quantization Enable FSDP Time Taken (mins) ml.g4dn.12xlarge 12xlarge 1024 8 TRUE FALSE 166 ml.g4dn.12xlarge 12xlarge 2048 2 TRUE FALSE 178 ml.g4dn.12xlarge 12xlarge 1024 4 FALSE TRUE 120 ml.g4dn.12xlarge 12xlarge 1024 4 TRUE FALSE 283 ml.g4dn.12xlarge

ML 92

ML ML Machine Learning Machine Learning 92