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Data Analytics News
Medium
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Regression Models: The Core of Predictive Analytics (06)
- Regression models quantify the relationships between dependent and independent variables.
- These models are trained on known data to learn the relationship between variables.
- Once trained, regression models can predict the dependent variable for new data.
- Regression models have limitations like overfitting, multicollinearity, and sensitivity to outliers.
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Medium
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Fascinating facts and statistics
- The universe is still growing at a rate of 1 meter per second per second.
- The world's largest living organism is a fungus called Armillaria ostoyae, covering over 2,200 acres in Oregon, USA.
- Butterflies taste with their feet, thanks to tiny sensors that detect sweetness or bitterness of a substance.
- The world's largest snowflake was 15 inches wide and 8 inches thick, recorded in Montana, USA.
- The longest recorded flight of a chicken lasted for 13 seconds before safely landing back on the ground.
- Niek Vermeulen owns the world's largest collection of airsickness bags, with over 6,142 bags from around the world.
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Medium
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175
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Cracking the Code: Optimizing Food Delivery Times with Data
- Optimizing food delivery times through GoFood must be a challenge, especially when late deliveries are involved.
- To understand the influencing factors around food delivery times in GoFood, the author begins by identifying the key variables that correlate with delivery time.
- EDA (Exploratory data analysis) is essential because it helps understand the relationships between features and the target variable.
- To implement the analysis, python libraries such as pandas, matplotlib, seaborn, and numpy will be used.
- Imputing missing values using the mean is a practical approach for numerical variables.
- Box plots are a simple and effective way to visualize outliers for continuous variables such as distance.
- The correlation matrix is a quick way to assess how numerical variables relate to each other and to the target variable.
- The significant difference in average delivery speed between high and low traffic levels highlights the importance of traffic conditions in delivery operations.
- The author proposes developing a smart routing system that dynamically adjusts delivery routes based on live traffic conditions, ensuring optimal delivery paths and faster completion times.
- To mitigate adverse weather conditions, the author proposes equipping couriers and operations teams with tools and strategies to maintain efficiency during extreme weather.
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Medium
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347
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Angles of Ambition: Mapping New Year’s Resolutions in Semantic Space
- Using over 5,000 New Year’s resolution tweets from 2015, the article explores semantic structures behind human expression by finding the underlying stories in the data.
- OpenAI embedding model creates a 1,536-dimensional vector for each tweet that can be used for exploring vast, multidimensional space.
- PCA is a dimensionality reduction technique that provides the most generic view of the data, whereas T-SNE and UMAP take a different approach by emphasizing local relationships.
- Supervised projections like Linear Discriminant Analysis explicitly align the projections with specific categories and reveal stunningly clear patterns. Cosmic graph visualization is used for the same.
- Validation is necessary to ensure that projections and patterns uncovered aren't arbitrary. Semantic embeddings aren't arbitrary and are usually structured by design.
- Visualization is about inviting curiosity, sparking insights, and uncovering truths hidden in the multidimensional echo of the data.
- Projecting 1,536 dimensions onto two is not just a technical challenge but a storytelling exercise, using machine learning to illuminate the human experience.
- Therefore, projecting the high-dimensional spaces can help people explore data from all possible angles.
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Medium
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17
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Bytes and Breakthrough: My Tech Journey (Episode 3) The Curiosity of a Child: A Surprising…
- The author describes their childhood curiosity and love for asking questions.
- They developed an interest in data science principles by observing the patterns of power outages in Nigeria.
- The author collected data and created a 'mental model' to predict power supply based on factors like weather and public events.
- This childhood experience sparked their passion for data science and the understanding that it is about solving real-world problems.
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Medium
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1k
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Which programming languages are used in AI?
- Python is the top choice for AI development due to its simplicity, readability, and extensive library support, catering to both beginners and experts.
- Libraries like TensorFlow, PyTorch, Scikit-learn, and Keras simplify machine learning, deep learning, and data analytics. Its versatility extends to natural language processing with NLTK and SpaCy, making it indispensable in AI.
- Python’s strong community support and seamless integration with other languages enhance its appeal.
- R is another widely used language in AI, excelling in statistical computing, data analysis, and handling large datasets. It is preferred for projects requiring data visualization, statistical modeling, and exploration in AI.
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Medium
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291
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Say Goodbye to Loops in Python, and Welcome Vectorization!
- Loops in Python can be inefficient for large datasets, resulting in significant processing time.
- Vectorization is a technique in Python that applies operations to all elements of an array or series at once.
- Replacing loops with vectorization can improve coding efficiency and save time.
- An example of finding the sum of numbers using loops and vectorization in Python will be discussed.
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Medium
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8
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Step by Step: Becoming a Data Analyst by 2025
- Data analytics is a lucrative career choice in the modern world.
- Organizations increasingly rely on data for decision-making.
- A data analyst collects, analyzes, and interprets data for actionable insights.
- Data analysts help organizations optimize processes and make informed decisions.
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Medium
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309
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Why should you, as a Product Manager, talk to your customers?
- Direct customer interaction is crucial for a Product Manager.
- Data and analytics cannot fully capture the subjective experience of using a product.
- The thought experiment of Mary's Room highlights the limitations of knowledge without direct experience.
- Talking to customers helps us understand their lived experience in a way that data alone cannot reveal.
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Medium
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252
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Unlocking Business Growth: How Julius AI Turns Data Into Actionable Insights for Small Businesses
- Julius AI simplifies complex data for small businesses, making it accessible and actionable.
- It organizes and processes data, eliminating the need for coding expertise.
- Julius AI uncovers trends, peak sales periods, and declining products from the data.
- It also segments customers for targeted marketing and helps with sales forecasting and inventory management.
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Siliconangle
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Italian energy giant Eni cranks up world’s 5th most powerful supercomputer
- Italian energy giant Eni has unveiled its new supercomputer, HPC6, which will be used to scale up its oil and gas discovery efforts and advance research in clean energy and decarbonization.
- HPC6 is equipped with almost 14,000 integrated graphics processing units and will assist Eni in analyzing vast amounts of data related to exploration to identify new reservoirs and optimize drilling strategies.
- Eni has previously used supercomputers to enhance geological surveys, improve carbon storage methods, optimize industrial plant operations, and design efficient batteries and biofuel supply chains.
- Eni's CEO, Claudio Descalzi, believes that technological advancements are crucial in achieving energy transition goals and net-zero emissions.
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Medium
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57
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The AI Revolution: How Machine Learning is Shaping Our World
- AI and Machine Learning are revolutionizing industries and everyday life.
- AI simulates human intelligence while ML focuses on learning from data.
- Applications of AI/ML include personalized recommendations and autonomous vehicles.
- The future of AI/ML holds immense potential and challenges.
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Medium
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390
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How AI is Transforming the Future of Racing in Formula 1
- Formula 1 is adopting AI technology to optimize race strategies and enhance fan engagement.
- AI handles the complexity of managing and analyzing vast amounts of data with speed and accuracy.
- AI-driven graphics introduced by AWS demystify race strategies for viewers, offering real-time clarity.
- While AI influences various aspects of the sport, the human element and driver skill remain crucial.
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Siliconangle
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Inside AWS’ evolving role in the expanding Kubernetes ecosystem
- Amazon Web Services Inc. has contributed to the growth of Kubernetes with developments such as EKS Auto Mode and Hybrid Nodes.
- EKS Auto Mode automates cluster management, patching, and scaling, simplifying Kubernetes adoption.
- Hybrid Nodes bridge the gap between on-premises workloads and cloud migration, allowing integration of existing hardware into AWS-managed clusters.
- AWS offers choice and flexibility by supporting various Kubernetes tools without imposing limitations, ensuring scalability for diverse workloads.
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Pymnts
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AI, Omnichannel and Social Commerce: Inside the 2024 D2C Transformation
- D2C retailers are adopting AI-powered personalisation and tailoring options based on individual preferences, using advanced data analytics and marketing algorithms which process large amounts of consumer data.
- Omnichannel strategies are being adopted to offer seamless experiences to customers across various channels during their shopping journeys.
- The D2C model is proving popular, with US sales projected to reach $177.3 billion by 2024. Subscription models and loyalty programmes are key in driving growth and providing ongoing customer retention and incentive for loyalty.
- D2C retailers are embracing ethical and sustainable practices, including eco-friendly packaging, transparent supply chains and a focus on resale, repair and rental by 2030.
- Social media platforms and mobile shopping are becoming integral to the shopping experience, with social commerce accounting for over $67 billion US sales in 2023 and mobile sales reaching $2.2 trillion in 2023, representing 60% of global eCommerce sales.
- D2C retailers are responding to high cart abandonment rates by offering more flexible payment options including BNPL schemes, digital wallets and payment processors which prioritise certain payment options to meet consumer demand.
- Full Glass Wine Co. faced the challenge of launching its direct-to-consumer model in a traditional and fragmented industry, using AI to personalise wine recommendations and selections based on consumer behaviour, preferences and purchasing patterns.
- Instacart is implementing AI-powered Caper Carts, equipped with digital screens in the United States and Austria, aimed at streamlining the checkout process and enhancing the shopping experience.
- The lines between online and offline shopping continue to blur, with 73% of retail consumers opting for multiple touchpoints during their shopping journeys.
- Rent the Runway is launching a new $119 per month subscription tier aimed at expanding its customer base and setting the stage for D2C growth in 2025.
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