It has been more than a week since the official version of macOS 11 Big Sur was updated. Basically, users who want to try it out have already upgraded, and those who are conservative or unwilling to upgrade, I am afraid that they have long been determined to continue to guard Catalina and even Mojave.
Some users didn’t want to upgrade Catalina at the time because it was too buggy, but now they don’t want to upgrade Big Sur, but they are not used to the big changes in Big Sur’s design from the inside to the outside.
But for this design change, there are still many places to think again. …
Looking at the operating status of a SaaS company and how far it can go, there is no need to analyze so many North Star indicators. In fact, only two indicators are enough: customer lifetime value LTV (Life Time Value) and customer acquisition cost CAC (Customer Acquisition Cost) .
Maybe you think you are familiar with these two indicators; but what I want to talk about is not these two indicators, but the things behind the indicators.
1. Re-understand the lifetime value of customers
We all know that the so-called LTV is the sum of all the revenue that a SaaS company can obtain from a customer. Maybe you think that LTV is a predictive indicator of the “future” and has nothing to do with the current business conditions. But isn’t this year the future of last year and the year before? The present future is next year, and at most the next year. In fact, when using LTV as an indicator, don’t think so far SaaS customers can see the life cycle of three years, but if it is longer, it will be too much . …
What is this lidar? What new experience can it bring to your mobile phone?Under this circular black area, LiDAR mainly consists of two parts: the transmitter and the receiver. The vertical cavity surface emitting laser (VCSEL) is used as the transmitting terminal to emit a beam of infrared light to the object, which is received by the CMOS image sensor after reflection. The period of time the beam passes is called the time of flight (ToF) .
Flight time is divided into direct flight time (dToF) and indirect flight time (iToF) . The former emits a light pulse signal to the target to directly measure the time taken by the photon from departure to return; the latter emits a series of modulated light waves to measure the flight time by detecting the phase difference between the back and forth light waves. …
Search for a keyword, and then often receive related information and advertising pushes when shopping online, a large number of previously searched product information springs up on the page… Nowadays, algorithm recommendations are everywhere, allowing people to obtain information more intelligently. Personalization and customization. While bringing us convenience, the problem of algorithm recommendation also follows, such as the “information cocoon room” trouble, the proliferation of kitsch information, and the “killing” of big data. How to make algorithm recommendations better serve network users?
Accurate “User Portrait”
Data analysis “knows you” better
“I recently planned to buy a car, so I searched the Internet for a model of my favorite model, and then kept pushing videos of this model on the web page, as well as some news about the auto show. This information is what I want to pay attention to.” …
Self-driving cars have begun to become a reality in the fields of agriculture, transportation, and military, and the day when ordinary consumers use self-driving cars in their daily lives is quickly approaching. An autonomous vehicle performs necessary operations based on sensor information and AI algorithms. It needs to collect data, plan trajectories, and execute driving routes. These tasks, especially planning and executing trajectories, require non-traditional programming methods, which rely on machine learning techniques in AI.
1. AI algorithms used in autonomous vehicles
1.1. Path planning and control algorithm
Traditional heuristic algorithms in computer science can be used for path planning and control, such as Bellman-Ford algorithm and Dijkstra algorithm. To apply these algorithms, it is necessary to locate the vehicle in the whole process, and the positioning must be completed through GPS and other sensors, and synchronous positioning and mapping (SLAM) technology. …
This article aims to introduce the use of machine learning algorithms to introduce the Apache Spark data processing engine. We will briefly introduce Spark at the beginning, and then we will start to practice a machine learning example. We will use the Qualitative Bankruptcy dataset, from the UCI machine learning data warehouse. Although Spark supports Java, Scala, Python and R at the same time, in this tutorial we will use Scala as the programming language. Don’t worry if you have no experience with Scala. We will explain each code segment in the exercise in detail.
Apache Spark is an open source cluster computing framework. Applications written in Spark can be more than 100 times faster than the Hadoop MapReduce paradigm. One of Spark’s main characteristics is that it is memory-based and runs fast. Not only that, complex applications run on the Spark system and are more effective than disk-based MapReduce. Spark is also designed to be more general, so it provides the following…
Logistic Regression (Logistic Regression) is a machine learning classification model, due to its simple and efficient algorithm is widely used in practice, this article mainly focuses on the mathematical model and parameter solving method of the logistic regression algorithm. Finally, it will briefly discuss the relationship between logistic regression and Bayesian classification, as well as the promotion of multi-classification problems. .
Logistic regression problem
In actual work, we may encounter the following problems:
Predict whether a user clicks on a specific product
Determine the gender of the user
Predict whether users will buy a given category
Determine whether a review is positive or…
“Simplicity” is not the ultimate goal, but a beacon to help companies achieve their goals. When you apply the principle of “simplicity” in work or business processes, you can truly appreciate its power.
When we are facing unprecedented uncertainty, whoever can make management simple and effective can quickly respond to changes to deal with internal and external shocks. How to make management simple and effective is a topic that every business manager should think about.
In the past thirteen years, an important factor in the rise of Apple is their obsession with “simplicity” management. “Simple” management can make complex management simple and efficient. It not only helps to enhance the management concepts and thinking of the core competitiveness of the enterprise, but also makes Apple and Dell, Intel and other giant companies form a strong contrast, producing endless creative solutions and A new product. …
On the 18th, Pfizer and BioNTech said that in the final efficacy analysis of the third phase trial, the new crown vaccine showed 95% effectiveness
The data comes from a clinical study involving nearly 44,000 people. …
A high-end modern computer chip may have billions of transistors. But the number of transistors in WSE exceeds 1 trillion. In addition, the 400,000 cores loaded by WSE can transmit 9,000 trillion bytes of data per second; in contrast, the current Intel i9–9900k chip configured in personal computers has only 8 cores, which can transmit 40 billion per second. Bytes of data.
Cerebras’ WSE (Wafer Scale Engine), a single chip integrates 400,000 computing cores (PE), on-chip 18GB of SRAM, pay attention to SRAM, similar to what we usually call Cache, this on-chip SRAM is better than most chips’ off-chip storage (DDR) are big. …