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. Deep Learning with PyTorch and TensorFlow part 1 and 2 Dr. Jon Krohn | Chief Data Scientist | Nebula.io Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Deep Learning 52

Hacker News

APRIL 12, 2023

Other mathematical operations reduce the amount of data that needs to be transmitted or stored. AI codecs, having been developed over the course of decades , use machine learning algorithms to analyze and understand the visual content of a video, identify redundancies and non-functional data, and compress the video in a more efficient way.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

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Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Dataconomy

AUGUST 22, 2023

Data fuels innovation and insights and one approach stands out for its ability to not only predict but also embrace uncertainty: Bayesian reasoning. Imagine you’re trying to make predictions or understand patterns in a large amount of data. You might start with a “prior belief” based on historical data and knowledge.

Machine Learning 91

Machine Learning Machine Learning Algorithm Deep Learning 91

ODSC - Open Data Science

MAY 22, 2023

You’ll learn how to use the Oanda trading API (via a demo account) to retrieve data, to stream data, and to place orders. Pandas makes it possible to work with tabular data and perform all parts of the analysis from collection and manipulation through aggregation and visualization.

Data Science 97

Data Science Machine Learning Machine Learning Python 97

ODSC - Open Data Science

AUGUST 21, 2023

This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners. This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

Cambridge Intelligence

DECEMBER 17, 2022

Visualizing every player at the FIFA World Cup 2022 Read on to see which algorithm the theory is based on, and how our other predictions fared as the tournament progressed all the way to the final. Which team will win? Our prediction: 22nd November Skip to the end for the prediction , but first, a reminder of the approach.

Algorithm 52

Algorithm 52

Dataconomy

MAY 2, 2023

In the context of a business, machine learning engineers are responsible for creating bots that are utilized for chat purposes or data collection. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business.

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ML ML Machine Learning Machine Learning 110

Towards AI

JULY 31, 2023

Here I have a goal of applying the idea theory+practical, so after completing the theory part then, a code in TensorFlow will be shown so you all can practically apply the theory. To achieve this, the input data is usually padded with zeros at the borders before applying the convolution operation 2.

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Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 82

Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Based on current predictions (enabled by data science), this trend will continue, as more and more industries shift towards data-driven and automated solutions. Exploration vs Exploitation ?

Data Science 130

Data Science Machine Learning Machine Learning Deep Learning 130

Pickl AI

AUGUST 21, 2023

In a digital era fueled by data-driven decision-making, the role of a Data Scientist has become pivotal. With the 650% jump in the implementation of analytics, the role of Data Scientists is becoming profound. Companies are looking forward to hiring crème de la crème Data Scientists.

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Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 8, 2024

Specialized degrees in fields like Data Science, Cybersecurity, and Digital Marketing provide in-depth knowledge and expertise. Unlike the common notion, the domain of Data Science is now open to all. With the best Data Science course online accessibility, acquiring data skills has become easier.

Data Science 52

Data Science Machine Learning Machine Learning Analytics 52

Pickl AI

AUGUST 2, 2023

In the world of Data Science and Machine Learning which are growing exponentially, dimensionality reduction plays an important role. For the purpose of handling large and complex datasets, one of the most popularly used technique is the Principal Component Analysis. What is Principal Component Analysis in Machine Learning?

Machine Learning 52

Machine Learning Machine Learning Data Science Data Analysis 52

Mlearning.ai

FEBRUARY 28, 2023

Theoretical Explanations and Practical Examples of Correlation between Categorical and Continuous Values Without any doubt, after obtaining the dataset, giving entire data to any ML model without any data analysis methods such as missing data analysis, outlier analysis, and correlation analysis.

Data Analysis 52

Data Analysis Data Analysis EDA ML 52

Pickl AI

SEPTEMBER 4, 2023

Statistical is a mathematical branch that deals with collecting, analysing and interpreting data and presenting it mathematically. With the help of these data, statisticians tend to solve economic, social and business problems. Clean and preprocess data to ensure its quality and reliability.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Machine Learning 52

ODSC - Open Data Science

APRIL 11, 2023

As you could imagine, entering the field of data science can be challenging, as there’s no one-size-fits-all approach to getting one’s foot into the door. However, while there’s no perfect way to get started, there are some pitfalls that you can avoid that can help you take that leap and make a clear landing in the field of data science.

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Data Science Data Scientist AI AI 90

Mlearning.ai

MARCH 21, 2023

Non-Maximum Suppression Non-maximum suppression is a technique that is used after the region proposal step to eliminate duplicate bounding boxes and select the most relevant ones. It is a critical step in many computer vision applications such as face detection, pedestrian detection, and object recognition. I divided it into many grids.

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Algorithm Machine Learning Machine Learning Data Science 98

Mlearning.ai

JANUARY 14, 2024

Increase in Data Dimensions Introduction: The Curse of Dimensionality and the Need for PCA Imagine you’re a data scientist working with a vast dataset of astronomical observations, aiming to uncover patterns and insights about distant galaxies. This is where dimensionality reduction techniques become crucial.

Data Science 52

Data Science Data Analysis Data Analysis Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field. What is machine learning?

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Machine Learning Machine Learning Data Science Big Data 60

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

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Data Mining Data Mining Data Mining Data Science 143

Dataconomy

APRIL 12, 2023

AI systems typically rely on algorithms, statistical models, and large amounts of data to learn and improve their performance over time. AI systems typically rely on algorithms, statistical models, and large amounts of data to learn and improve their performance over time. What is artificial intelligence (AI)?

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Artificial Intelligence Artificial Intelligence AI AI 91

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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AI AI Computer Science Computer Science 97

Mlearning.ai

DECEMBER 31, 2023

It is a research field on ML interpretability technique whose aims are to understand machine learning model predictions and explain them in a human understandable terms to build trust with stakeholders. This might involve using visual aids, simple language, or analogies. It’s about transparency and clarity in how the model operates.

AI 52

AI AI Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 3, 2023

Historical data has shown us a few instances where the ball’s velocity exceeded the 130 km/h mark in Bundesliga, with the all-time record being a jaw-dropping shot at 137 km/h by Bayern’s Roy Makaay. With all this in mind, it becomes even clearer why the speed and technique behind every shot matters immensely. Hammer” from ardent fans.

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AWS Apache Kafka Data Scientist Algorithm 93

Mlearning.ai

JULY 11, 2023

In the fast-paced and ever-evolving world of data science, the significance of hands-on experience cannot be emphasized enough. While theoretical knowledge forms the foundation, the ability to apply that knowledge in practical scenarios is what truly sets successful data scientists apart.

Data Science 40

Data Science Data Scientist Analytics Analytics 40

NYU Center for Data Science

JULY 21, 2023

Novel AI techniques are being used to shed new light on how the mind and brain really work, and there’s a renewed excitement that we’ll be able to build machines that learn and think like people do. The discussion brought to light their excitement about how MBM could reshape our understanding of both natural and artificial intelligence.

Data Science 86

Data Science Artificial Intelligence Artificial Intelligence Deep Learning 86

Pickl AI

FEBRUARY 20, 2024

Additionally, delving into Data Science presents promising avenues for growth. stands out with tailored Data Science courses for beginners, providing expert guidance and industry-recognised certification. From traditional paths to emerging trends like Data Science for beginners, we’ll uncover the possibilities awaiting us.

Data Science 52

Data Science Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JUNE 7, 2023

It requires a systematic approach that encompasses problem definition, data collection, preprocessing, model training, evaluation, and deployment. This project uses various advanced techniques like CNNs, VGGs, XGBoost, etc for performing 7 disease detections. This holistic process is known as an end to end machine learning project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Mlearning.ai

JUNE 29, 2023

The third more popular type of clustering techniques is called “Density Based Clustering”. One among the many density based algorithms is “DBSCAN”. Dense Regions (Clusters) separated by Sparse Regions(Noise). Now, there will be a question that will strike into our mind. What does ‘dense’ and ‘sparse’ here mean ? &

Clustering 52

Clustering Algorithm Database Data Mining 52

Pickl AI

MARCH 3, 2023

Statistics is an important part of Data Science where using Statistical Analysis, organisations can derive the value of the data input and evaluate meaningful conclusions. Accordingly, there are different types of statistical analysis techniques that are essential for application in various industries with a wide range of data.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

Google Research AI blog

MAY 25, 2023

At its core, clustering consists of the following problem: given a set of data elements, the goal is to partition the data elements into groups such that similar objects are in the same group, while dissimilar objects are in different groups. When clustering is applied to personal data (e.g., Source , rights: CC-BY-SA-4.0

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Clustering Algorithm Machine Learning Machine Learning 89

AWS Machine Learning Blog

AUGUST 21, 2023

The intent is to offer an accelerated path to adoption of predictive techniques within CDSSs for many healthcare organizations. There are several techniques to explain the predictions of such models. One such technique is SHAP (SHapley Additive exPlanations), which is a model-agnostic technique for explaining the output of ML models.

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AWS ML ML Machine Learning 77

Dataconomy

FEBRUARY 24, 2023

Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU). AI requires large amounts of data to function effectively, which can be expensive to collect and manage.

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Artificial Intelligence Artificial Intelligence AI AI 70

Cambridge Intelligence

MAY 15, 2024

In this post, we explore popular link analysis techniques that form an essential part of their workflows. Each image and animation demonstrates what you can achieve with our data visualization toolkits. Each image and animation demonstrates what you can achieve with our data visualization toolkits.

Data Visualization 59

Data Visualization Data Analyst Data Analysis Data Analysis 59

Mlearning.ai

JULY 24, 2023

It excels in tasks with high-dimensional data and delivers reliable results due to its ability to handle different loss functions and provide feature importance estimates. Notably, it incorporates parallelization, regularization techniques, and a more efficient greedy algorithm for identifying optimal split points during tree construction.

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ML Review

MARCH 31, 2019

But by 2014, ConvNets had become powerful enough to start surpassing human accuracy on a number of visual recognition tasks. Source: Robust Physical-World Attacks on Deep Learning Visual Classification. Are the machine learning models we use intrinsically flawed? What are adversarial attacks? Let’s look at an example. confidence.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52