ODSC - Open Data Science

AUGUST 8, 2023

When starting your data science career, it can be difficult to know which path to choose. Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors.

Data Science 52

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ODSC - Open Data Science

APRIL 10, 2023

When it comes to building a successful career in data science or AI, getting hands-on training to fill knowledge gaps or learn about the latest developments in the industry is always a good idea. It also explores statistical and machine learning approaches to anomaly detection. Jon Krohn | Chief Data Scientist | Nebula.io

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ODSC - Open Data Science

MARCH 13, 2023

Looking forward If you’re interested in learning more about machine learning, Then check out ODSC East 2023 , where there will be a number of sessions as part of the machine & deep learning track that will cover the tools, strategies, platforms, and use cases you need to know to excel in the field.

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Machine Learning Data Science Categorization Python 94

ODSC - Open Data Science

FEBRUARY 15, 2023

Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions. Check them out below.

Data Science 90

Data Science NLP Python Machine Learning 90

Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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ODSC - Open Data Science

MARCH 20, 2023

There will also be an in-person career expo where you can find your next job in data science! Sessions are audience-focused to help attendees solve their real-world, applied data science problems. Women’s Ignite | In-Person: Women in Data Science Ignite Sessions fuel creativity and innovation among conference attendees.

Data Science 98

Data Science NLP Categorization Python 98

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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ODSC - Open Data Science

AUGUST 17, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.

Data Science 52

Data Science Python NLP Machine Learning 52

Pickl AI

NOVEMBER 2, 2023

It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes. In the fast-paced world of Data Science, having quick and easy access to essential information is invaluable when using a repository of Cheat sheets for Data Scientists.

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Viso.ai

APRIL 17, 2024

The type of features and extraction techniques also vary depending on the input data type. While working with tabular data, we have both numerical (e.g. Age, No of products, and categorical features (Gender, Country, etc). In deep learning models that use image data, features include detected edges, pixel data, exposure, etc.

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Python Machine Learning NLP Computer Vision 52

ODSC - Open Data Science

JULY 26, 2023

Data Preprocessing Data preprocessing involves cleaning and transforming raw data into a format suitable for machine learning algorithms. This step may include handling missing values, outlier detection, feature scaling, encoding categorical variables, and feature engineering.

Machine Learning 52

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data.

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Viso.ai

MAY 21, 2024

Data science is a multidisciplinary field that relies on scientific methods, statistics, and Artificial Intelligence (AI) algorithms to extract knowledgable and meaningful insights from data. At its core, data science is all about discovering useful patterns in data and presenting them to tell a story or make informed decisions.

Data Science 52

Data Science Python Neural Network Machine Learning 52

Heartbeat

MARCH 8, 2023

Happy Reading, Emilie, Abby & the Heartbeat Team Natural Language Processing With SpaCy (A Python Library) — by Khushboo Kumari This post goes over how the most cutting-edge NLP software, SpaCy , operates. This article delves into using deep learning to enhance the effectiveness of classic ML models.

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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]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

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NVIDIA Developer

JUNE 2, 2021

Deep learning models have gained widespread popularity for NLP because of their ability to accurately generalize over a range of contexts and languages. In this workshop, you’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents.

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ODSC - Open Data Science

APRIL 28, 2023

In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. Deep learning refers to the use of neural network architectures, characterized by their multi-layer design (i.e. deep” architecture). This is a preview of my upcoming tutorial in May at ODSC East. Follow along in the notebook !

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Heartbeat

SEPTEMBER 28, 2023

Import Libraries First, import the required Python libraries, such as Comet ML, Optuna, and scikit-learn. These libraries provide tools for data preprocessing, model training, and hyperparameter tuning. !pip Preprocessing Data preprocessing is a critical step. Handles mixed feature types (categorical and numerical).

Machine Learning 52

Machine Learning Categorization ML Data Scientist 52

Pickl AI

APRIL 26, 2024

Data visualisation principles include clarity, accuracy, efficiency, consistency, and aesthetics. A bar chart represents categorical data with rectangular bars. In contrast, a histogram represents the distribution of numerical data by dividing it into intervals and displaying the frequency of each interval with bars.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

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Data Science Neural Network Machine Learning Data Analysis 75

Heartbeat

FEBRUARY 8, 2023

Because of its consistent syntax and human-like language, it is also one of the languages that are easiest for beginners to learn. Python also includes a large number of packages that allow for code reuse. Supported tools include a Name finder, Tokenizer, Document categorization, POS tagger, Parser, Chunker, and Sentence detector.

Natural Language Processing 52

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Artificial Corner

JUNE 18, 2023

Advances in deep learning and other NLP techniques have helped solve some of these challenges and have led to significant improvements in performance of QA systems in recent years. The DeepPavlov Library is implemented in Python and supports Python versions 3.6–3.9. 2023), Arxiv publications [3] Q.

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Mlearning.ai

MARCH 1, 2023

Implementation of loss functions for classification task in Python Here is the link to the Kaggle notebook code. Until now, I’m still overwhelmed by the wide variety of options available for each hyperparameter of the model. What are the loss functions? Which activation function to use for the last layer?

Categorization 52

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Heartbeat

SEPTEMBER 7, 2023

Imagine you’re training a deep learning model for image recognition. Let’s see it in action with some Python code: import comet_ml # Initialize Comet.ml It’s like having a virtual laboratory where every experiment is meticulously logged and displayed. With Comet, you can easily log and visualize metrics during training.

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Heartbeat

FEBRUARY 14, 2024

Leveraging the capabilities of Python and Comet, a robust platform for ML experiment tracking, this project aims to provide insights into the sentiments prevalent in social media interactions. While robust, this method may require substantial labeled data. Loading and Preprocessing the Data.

Python 52

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ODSC - Open Data Science

MARCH 3, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book.

Machine Learning 52

Machine Learning Algorithm Data Science Deep Learning 52

Viso.ai

MARCH 27, 2024

Machine learning (ML) and Data Science (DS) are the topics every IT sector is discussing about. This article explores Kaggle, a popular platform for learning everything related to Data Science, Computer Vision (CV), and Machine Learning. It was created to achieve data science goals in one place.

Computer Vision 52

Computer Vision Data Scientist Machine Learning Data Science 52

Heartbeat

MARCH 21, 2023

Keras is popular high-level API machine learning framework in python that was created by Google. Source: Author We see that the sparse categorical cross entropy loss (also called softmax loss) was the most common. Both sparse categorical cross entropy and categorical cross entropy use the same loss function.

Computer Vision 52

Computer Vision Categorization Deep Learning Machine Learning 52

Heartbeat

MARCH 8, 2023

Source: Author Introduction Text classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. This article will look at how R can be used to execute text categorization tasks efficiently. You can read more about the R language here.

Machine Learning 52

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Marktechpost

JULY 23, 2023

Additionally, Hermione offers classes in data view, text vectoring, column normalization and denormalization, and other topics that help with day-to-day activities. Hydra An open-source Python framework called Hydra makes it easier to create complicated apps for research and other purposes.

Machine Learning 83

Machine Learning Neural Network Python Deep Learning 83

NVIDIA Developer

MAY 20, 2021

Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results.

Natural Language Processing 40

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Heartbeat

DECEMBER 27, 2023

Docker makes machine learning workloads portable and reproducible. These Python virtual environments encapsulate and manage Python dependencies, while Docker encapsulates the project’s dependency stack down to the host OS. These Python virtual environments encapsulate and manage Python dependencies. Flask==2.1.2

Machine Learning 52

Machine Learning Python ML Categorization 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Categorization 52

Categorization Data Scientist Machine Learning Python 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Categorization 52

Categorization Data Scientist Machine Learning Python 52

Dlabs.ai

MAY 17, 2021

Towards Data Science (Developers/Business) Towards Data Science is a Medium publication that helps specialists exchange ideas and expand the general understanding of data science. Expect more focused subject matter, covering artificial intelligence , data science , and deep learning.

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